Method and system for on-line dynamical screening of electric power system
First Claim
1. A method for on-line dynamic screening of contingencies comprising postulated disturbances which an electric power system may experience, said method comprising steps of:
- evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies; and
determining which of said second group of contingencies are unstable.
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Accused Products
Abstract
A system for on-line dynamic screening of contingencies comprising postulated disturbances which an electric power system may experience, the system comprising a dynamic contingency screening program for evaluating a plurality of contingencies with a plurality of contingency classifiers based on the method of finding the controlling unstable equilibrium point of the power system known as the boundary of stability region based controlling unstable equilibrium point method by sequentially applying the contingencies to a network islanding problem classifier, S.E.P problem classifier, a large stability regions classifier, an exist point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a CUEP convergence problem classifier, and a controlling UEP (unstable equilibrium point) classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, and a time-domain simulation program for determining which of the second group of contingencies are unstable.
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Citations
61 Claims
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1. A method for on-line dynamic screening of contingencies comprising postulated disturbances which an electric power system may experience, said method comprising steps of:
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evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies; and
determining which of said second group of contingencies are unstable. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for on-line dynamic screening of contingencies comprising postulated disturbances which an electric power system may experience, said system comprising:
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a dynamic contingency screening program configured to evaluate a plurality of contingencies with a plurality of contingency classifiers based on a method of finding the controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies; and
a time-domain simulation program configured to determine which of said second group of contingencies are unstable. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. A BCU guided time-domain method which inputs a power system with related data for dynamic security assessment and a contingency and outputs a stability assessment and energy margin value for the contingency on the power system, comprising the steps of:
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applying a boundary of stability region based controlling unstable equilibrium point method to compute an exit point; and
declaring the stability assessment to be highly stable and assigning a large value of the energy margin for a post-fault system if the computed exit point is not found within a predetermined time interval and if the energy value at an end point of the predetermined time interval is positive. - View Dependent Claims (27, 28, 29)
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30. An on-line dynamic security assessment system adapted to perform an on-line screening of contingencies comprising postulated disturbances which an electric power system may experience, said assessment system being configured to perform steps of:
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evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies; and
determining which of said second group of contingencies are unstable. - View Dependent Claims (31, 32, 33, 34, 35, 36, 37, 38, 39)
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40. An energy management system adapted to perform an on-line dynamic screening of contingencies comprising postulated disturbances which an electric power system may experience, said management system comprising steps of:
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evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies; and
determining which of said second group of contingencies are unstable. - View Dependent Claims (41, 42, 43, 44, 45, 46, 47, 48, 49)
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50. A system for planning an electric power system, the system comprising:
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a provider configured to provide construction plans with an electric power system and a contingency list of the electric power system;
a BCU DSA system;
a detailed simulation system configured to perform a detailed simulation in accordance with an operation result of the BCU-DSA system, wherein said BCU-DSA system is configured in accordance with any one of the construction plans and the contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the ray adjustment problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at an exit point Vcr=Vep, and finding a corresponding fault-on time tep from a fault-on trajectory, when the minimum gradient point is not found, performing a time domain simulation with tep being a fault clearing time, if the post-fault system is stable, then setting Vep to be critical energy Vcr and stopping the process, performing a time-domain simulation of the post-fault system with a state of the fault clearing time tcl as an initial condition if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and an energy value at a corresponding state as the critical energy and slopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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51. A system for planning an electric power system, the system comprising:
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a provider configured to provide construction plans with an electric power system and a contingency list of the electric power system;
a BCU-DSA system;
a detailed simulation system configured to perform a detailed simulation in accordance with an operation result of the BCU-DSA system, wherein said BCU-DSA system is configured in accordance with any one of the construction plans and the contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the energy function problem classifier determines the contingency without deciding that the electric power system is stable or unstable, performing a time-domain simulation of a post-fault system with tcl as an initial condition, if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being a fault clearing time and treating t(0) as a critical clearing time and an energy value at a corresponding state as a critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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52. A system for planning an electric power system, the system comprising:
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a provider configured to provide construction plans with an electric power system and a contingency list of the electric power system;
a BCU-DSA system;
a detailed simulation system configured to perform a detailed simulation in accordance with an operation result of the BCU-DSA system, wherein said BCU-DSA system is configured in accordance with any one of the construction plans and the contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the controlling unstable equilibrium point convergence problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at the minimum gradient point Vcr=Vmgp, and finding a corresponding fault-on time tmgp from a fault-on trajectory, when the controlling unstable equilibrium point is not found, performing a time domain simulation with tmgp being the fault clearing time, setting Vmgp as the critical energy and stopping the process when the post-fault system is stable, performing a time-domain simulation of the post-fault system with tcl as the initial condition, and setting t0=tcl and t1=tmgp, when the post-fault system is stable and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using the Golden bisection-based interpolation method to find the instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and the energy value at the corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between the interval (t0, t(0)) if the post-fault system is not stable.
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53. A system for analyzing an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system;
a database configured to store the energy flow estimated by the energy management system; and
a BCU-DSA system configured in accordance with the energy flow stored by the database and a contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the ray adjustment problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at an exit point Vcr=Vep, and finding a corresponding fault-on time tep from a fault-on trajectory, when the minimum gradient point is not found, performing a time domain simulation with tep being a fault clearing time, if the post-fault system is stable, then setting Vep to be critical energy Vcr and stopping the process, performing a time-domain simulation of the post-fault system with a state of the fault clearing time tcl as an initial condition if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and selling t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and an energy value at a corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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54. A system for analyzing an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system;
a database configured to store the energy flow estimated by the energy management system; and
a BCU-DSA system configured in accordance with the energy flow stored by the database and a contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the energy function problem classifier determines the contingency without deciding that the electric power system is stable or unstable, performing a time-domain simulation of a post-fault system with tcl as an initial condition, if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being a fault clearing time and treating t(0) as a critical clearing time and an energy value at a corresponding state as a critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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55. A system for analyzing an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system;
a database configured to store the energy flow estimated by the energy management system; and
a BCU-DSA system configured in accordance with the energy flow stored by the database and a contingency list to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the controlling unstable equilibrium point convergence problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at the minimum gradient point Vcr=Vmgp, and finding a corresponding fault-on time tmgp from a fault-on trajectory, when the controlling unstable equilibrium point is not found, performing a time domain simulation with tmgp being the fault clearing time, setting Vmgp as the critical energy and stopping the process when the post-fault system is stable, performing a time-domain simulation of the post-fault system with tcl as the initial condition, and setting t0=tcl and t1=tmgp, when the post-fault system is stable and setting t0=0 and t1=cl, when the post-fault system is not stable, interpolating between (t0, t1) using the Golden bisection-based interpolation method to find the instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and the energy value at the corresponding state as the critical energy and slopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between the interval (t0, t(0)) if the post-fault system is not stable.
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56. A system for operating an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the ray adjustment problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at an exit point Vcr=Vep, and finding a corresponding fault-on time tep from a fault-on trajectory, when the minimum gradient point is not found, performing a time domain simulation with tep being a fault clearing time, if the post-fault system is stable, then setting Vep to be critical energy Vcr and stopping the process, performing a time-domain simulation of the post-fault system with a state of the fault clearing time tcl as an initial condition if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and an energy value at a corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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57. A system for operating an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the energy function problem classifier determines the contingency without deciding that the electric power system is stable or unstable, performing a time-domain simulation of a post-fault system with tcl as an initial condition, if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being a fault clearing time and treating t(0) as a ethical clearing time and an energy value at a corresponding state as a critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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58. A system for operating an electric power system, the system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the controlling unstable equilibrium point convergence problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at the minimum gradient point Vcr=Vmgp, and finding a corresponding fault on time tmgp from a fault-on trajectory, when the controlling unstable equilibrium point is not found, performing a time domain simulation with tmgp being the fault clearing time, setting Vmgp the critical energy and slopping the process when the post-fault system is stable, performing a time-domain simulation of the post-fault system with tcl as the initial condition, and setting t0=tcl and t1=tmgp, when the post-fault system is stable and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using the Golden bisection-based interpolation method to find the instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and the energy value at the corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between the interval (t0, t(0)) if the post-fault system is not stable.
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59. An information system for a market of an electric power system, the information system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a market of an electric power and a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the ray adjustment problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at an exit point Vcr=Vep, and finding a corresponding fault-on time tep from a fault-on trajectory, when the minimum gradient point is not found, performing a time domain simulation with tep being a fault clearing time, if the post-fault system is stable, then setting Vep to be critical energy Vcr and slopping the process, performing a time-domain simulation of the post-fault system with a state of the fault clearing time tcl as an initial condition if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and an energy value at a corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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60. An information system for a market of an electric power system, the information system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a market of an electric power and a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the energy function problem classifier determines the contingency without deciding that the electric power system is stable or unstable, performing a time-domain simulation of a post-fault system with tcl as an initial condition, if the post-fault system is stable, setting t0=tcl and t1=tmgp, when the post-fault system is stable, and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using a Golden bisection-based interpolation method to find an instant, denoted as t(0), and performing a time domain simulation with t(0) being a fault clearing time and treating t(0) as a critical clearing lime and an energy value at a corresponding state as a critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between an interval (t0, t(0)) if the post-fault system is not stable.
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61. An information system for a market of an electric power system, the information system comprising:
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an acquisition system configured to acquire an information of the electric power system;
an energy management system configured to perform an energy management of the electric power system and configured to estimate an energy flow of the electric power system; and
a BCU-DSA system associated to the energy management system configured to calculate an energy margin index of the electric power system which utilizes a market of an electric power and a redistributing instruction of generator output of the electric power system, and configured to perform steps of evaluating a plurality of contingencies with a plurality of contingency classifiers based on a method of finding a controlling unstable equilibrium point of said power system known as a boundary of stability region based controlling unstable equilibrium point method by sequentially applying said contingencies to a network islanding problem classifier, a stable equilibrium point problem classifier, a large stability regions classifier, an exit point problem classifier, a ray adjustment problem classifier, an energy function problem classifier, a controlling unstable equilibrium point convergence problem classifier, and a controlling unstable equilibrium point classifier to form a first group of stable contingencies and a second group of unstable or undecided contingencies, determining which of said second group of contingencies are unstable, computing a minimum gradient point of a contingency when the step of applying the controlling unstable equilibrium point convergence problem classifier determines the contingency without deciding that the electric power system is stable or unstable, setting a critical energy as an energy value at the minimum gradient point Vcr=Vmgp, and finding a corresponding fault-on time tmgp from a fault-on trajectory, when the controlling unstable equilibrium point is not found, performing a time domain simulation with tmgp being the fault clearing time, setting Vmgp as the critical energy and stopping the process when the post-fault system is stable, performing a time-domain simulation of the post-fault system with as the initial condition, and setting t0=tcl and t1=tmgp, when the post-fault system is stable and setting t0=0 and t1=tcl, when the post-fault system is not stable, interpolating between (t0, t1) using the Golden bisection-based interpolation method to find the instant, denoted as t(0), and performing a time domain simulation with t(0) being the fault clearing time and treating t(0) as the critical clearing time and the energy value at the corresponding state as the critical energy and stopping the process if the post-fault system is stable, and setting t1=t(0) and interpolating between the interval (t0, t(0)) if the post-fault system is not stable.
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Specification