Energy management system in a power and distribution system
First Claim
1. A method of energy management of a power system, comprising the steps of:
- monitoring the performance of the power system, detecting disturbances and calculating statistical information including frequency error;
using historical performance data of the power system and the statistical information to generate a first corrective signal to regulate the generation of power in the power system;
using economic factors to generate a second corrective signal to optimize economic use of power generating resources;
using the first corrective signal and second corrective signal to analyze and generate a control signal to correct the performance of the power distribution system;
dividing a time period into a plurality of sub-periods for use in predicting load demands;
using a plurality of neural networks, each of the plurality of neural networks comprising a plurality of neurons to predict a short term load demand on the power system, the sub-periods being further divided into predicting intervals and assigning one of the plurality of neural networks to each of the plurality of sub-periods;
receiving historical load data and a short term load forecast (STLF) for a STLF interval which is greater than or equal to the largest prediction interval; and
using the output of each of the plurality of neural networks to predict the short term load demand in each predicting interval.
4 Assignments
0 Petitions
Accused Products
Abstract
A method and system is provided for optimizing the performance of a power generation and distribution system that monitors the performance of a power system, detects disturbances and calculates statistical information, uses historical performance data and economic factors to analyze and control the production of power. Load demands are predicted by utilizing very short term load forecasts that are based on historical load data, demand patterns and short term load forecasts. Generating units are each assigned a temporal trajectory of output power over consecutive time intervals. The allocation of available resources is assigned so as to minimize costs associated with meeting changing loads.
-
Citations
21 Claims
-
1. A method of energy management of a power system, comprising the steps of:
-
monitoring the performance of the power system, detecting disturbances and calculating statistical information including frequency error; using historical performance data of the power system and the statistical information to generate a first corrective signal to regulate the generation of power in the power system; using economic factors to generate a second corrective signal to optimize economic use of power generating resources; using the first corrective signal and second corrective signal to analyze and generate a control signal to correct the performance of the power distribution system; dividing a time period into a plurality of sub-periods for use in predicting load demands; using a plurality of neural networks, each of the plurality of neural networks comprising a plurality of neurons to predict a short term load demand on the power system, the sub-periods being further divided into predicting intervals and assigning one of the plurality of neural networks to each of the plurality of sub-periods; receiving historical load data and a short term load forecast (STLF) for a STLF interval which is greater than or equal to the largest prediction interval; and using the output of each of the plurality of neural networks to predict the short term load demand in each predicting interval. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A method of energy management of a power system, comprising the steps of:
-
monitoring the performance of the power system, detecting disturbances and calculating statistical information including frequency error; using historical performance data of the power system and the statistical information to generate a first corrective signal to regulate the generation of power in the power system; using economic factors to generate a second corrective signal to optimize economic use of power generating resources; and using the first corrective signal and second corrective signal to analyze and generate a control signal to correct the performance of the power system; and determining the ramping constraints of each of a plurality of committed generating units; and obtaining a temporal trajectory of output power for each of the plurality of generating units over a set of predetermined and consecutive time intervals, such that costs associated with changing power output within the electrical power system is minimized. - View Dependent Claims (10, 11)
-
-
12. A computer-readable medium having stored thereon instructions which when executed by a processor, cause the processor to perform the steps of:
-
detecting disturbances and calculating statistical information including frequency error; using historical performance data of the power system and the statistical information to generate a first corrective signal to regulate the generation of power in the power system; using economic factors to generate a second corrective signal to optimize economic use of power generating resources; and using the first corrective signal and second corrective signal to analyze and generate a control signal to correct the performance of the power system; determining the ramping constraints of each of a plurality of committed generating units; and obtaining a temporal trajectory of output power for each of the plurality of generating units over a set of predetermined and consecutive time intervals, such that costs associated with changing power output within the electrical power system is minimized.
-
-
13. A system for managing a power system, comprising
a monitoring module for monitoring the performance of the power system, for detecting disturbances and for calculating statistical information including frequency error; -
a control module in communication with the monitoring module for processing the statistical information generated by the monitoring module and for generating a first corrective signal to regulate the generation of power in the power system; a control decision module in communication with the control module for analyzing and generating a control signal to correct the performance of the power system; an economic dispatch module in communication with the control decision module for using economic factors to generate a second corrective signal to optimize economic use of power generating resources, wherein the control decision module uses both the first corrective signal and the second corrective signal to analyze and determine a corrective course of action, represented by the control signal generated by the control decision module; and a processor for dividing a time period into a plurality of sub-periods and prediction intervals, the processor receiving and processing historical load data and a short term load forecast (STLF) for a STLF interval which is greater than or equal to the largest prediction interval and wherein the first corrective signal and second corrective signal are used to analyze and generate a control signal to correct the performance of the power system. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21)
-
Specification