System and method for monitoring and managing electrical power transmission and distribution networks

• US 20040158417A1
• Filed: 11/06/2003
• Published: 08/12/2004
• Est. Priority Date: 11/06/2002
• Status: Abandoned Application

• Current Assignee: Aplicaciones En Informtica Avanzada, S.A.
• Original Assignee: Aplicaciones En Informtica Avanzada, S.A.
• Inventors: Bonet, Antonio Trias
• Application Number:
  US10/702,293
• Publication Number:
  US 20040158417A1
• Time in Patent Office: Days
• US Class Current: 702/57
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/0073 for providing alternative feeding paths between load and source when the main path fails, e.g. transformers, busbars
• CPC Class Codes: H02J 3/06 Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/52 Outage or fault management, e.g. fault detection or location
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

A system and method for monitoring and managing electrical power transmission and distribution networks through use of a deterministic, non-iterative method for determining the real-time loadflow in a power generating system having an electrical grid. Such method may be employed for real-time or off-line applications for electric power systems reliability assessment, and is capable of determining whether or not a physical solution to the loadflow problem exists, or if the system is in a state of voltage collapse.

Claims

1. A method for determining the state of stability of an electrical grid having n nodes, comprising the steps of:

a. embedding load flow equations (L) representing the electrical grid in a parametric homotopy (L(s)) that goes continuously from a 0-case (L(0)), in which all voltages are equal to the nominal voltage and there is no energy flow in links of the grid, to an objective case (L(1)) representative of the grid in the condition for which stability is to be determined;

b. developing in power series values of the load flow equations'"'"' unknowns in the parameters of the parametric homotopy (L(s)) in a neighborhood of the 0-case value of each parameter;

c. computing a continued fraction approximation to the power series coefficients produced in step b;

d. evaluating the n-order approximant of the continued fraction approximation produced in step c for the power series coefficients produced in step b to provide a solution to the load flow equations (L); and

e. displaying the solution to the load flow equations as a measure of the state of stability of the electrical grid.

2. The method of claim 1, further comprising the steps of:

prior to said embedding step, receiving data from a supervisory and data acquisition system representative of conditions of the electrical grid, and forming said load flow equations (L) from said data.

3. The method of claim 2, further comprising the steps of repeating said receiving step and steps a through e continuously to provide a continuous, real time estimation of the stability of the electrical grid.

4. The method of claim 3, further comprising the steps of confirming that a set of voltages and flows contained in said solution to said load flow equations (L) are representative of a physical electrical state.

5. A method of measuring load flow in a power generating system having an electrical grid comprised of n nodes, comprising the steps of:

a. embedding load flow equations (L) representing the electrical grid in a parametric homotopy (L(s)) that goes continuously from a 0-case (L(0)), in which all voltages are equal to the nominal voltage and there is no energy flow in links of the grid, to an objective case (L(1)) representative of the grid in the condition for which stability is to be determined;

b. developing in power series values of the load flow equations'"'"' unknowns in the parameters of the parametric homotopy (L(s)) in a neighborhood of the 0-case value of each parameter;

c. computing a continued fraction approximation to the power series coefficients produced in step b;

d. evaluating the n-order approximant of the continued fraction approximation produced in step c for the power series coefficients produced in step b to provide a solution to the load flow equations (L); and

e. displaying the solution to the load flow equations as a measure of the load flow in the power generating system.

6. The method of claim 5, further comprising the steps of:

prior to said embedding step, receiving data from a supervisory and data acquisition system representative of conditions of the electrical grid, and forming said load flow equations (L) from said data.

7. The method of claim 6, further comprising the steps of repeating said receiving step and steps a through e continuously to provide a continuous, real time measure of the load flow in the power generating system.

8. A method of measuring load flow in a power generating system having an electrical grid, comprising the steps of:

a. generating a mathematical model of a known, physical solution to the load flow equations (L) in which all voltages are equal to the nominal voltage and there is no energy flow in links of the grid;

b. using analytical continuation to develop a mathematical model of the current, physical solution to the load flow equations representing the current load flow in the power generating system; and

c. displaying the physical solution to the load flow equations as a measure of the load flow in the power generating system.

9. The method of claim 8, said generating step further comprising developing a power series expansion of all quantities in a parametric homotopy (L(s)) formed from said load flow equations (L) in a neighborhood of the 0-case value of each quantity.

10. The method of claim 9, further comprising using algebraic approximants to determine the sum of all coefficients of said power series for the load flow equations representative of the physical current load flow that is to be determined.

11. A system for measuring load flow in a power generating system having an electrical grid, said system comprising:

a supervisory control and data acquisition system adapted to collect data from said electrical grid indicative of electrical conditions in said electrical grid, said supervisory control and data acquisition system being in communication with a microprocessor-controlled energy management system, said energy management system further comprising executable computer instructions to;

a. process said data received from said supervisory control and data acquisition system into load flow equations (L) representing the electrical grid;

b. embed said load flow equations (L) in a parametric homotopy (L(s)) that goes continuously from a 0-case (L(0)), in which all voltage are equal to the nominal voltage and there is no energy flow in links of the grid, to an objective case (L(1)) representative of the grid in the condition for which stability is to be determined;

c. develop in power series values of the load flow equations'"'"' unknowns in the parameters of the parametric homotopy (L(s)) in a neighborhood of the 0-case value of each parameter;

d. compute a continued fraction approximation to the power series coefficients produced in step c;

e. evaluate the n-order approximant of the continued fraction approximation produced in step d for the power series coefficients produced in step c to provide a solution to the load flow equations (L); and

f. display the solution to the load flow equations as a measure of the state of stability of the electrical grid.