SHORT-TERM OPERATION OPTIMIZATION METHOD FOR ELECTRIC POWER SYSTEM HAVING LARGE-SCALE WIND POWER

摘要

A short-term operation optimization method for an electric power system having large-scale wind power, comprising: modeling the randomness of a wind power output, modeling the randomness of an electric power system load, and modeling the payload of the electric power system, where the payload is: a method for over-discritization of the probability distribution of the payload, a payload probability distribution curve is divided into an N-number of intervals to acquire the probabilities corresponding to the intervals, and then the intervals respectively are calculated and weighted to acquire a probability distribution curve of the payload. By calculating a standard deviation for the randomness of the wind power output and for a load estimate error of the electric power system, a payload estimate error of the electric power system is acquired, a rational allocation of the electric power system is performed on the basis of the estimate error and an estimate amount, thus achieving improved adjustment of the randomness, volatility, regionality, bidirectional peak-load regulation of wind power electricity generation and of a mutual relationship with the load, thus allowing for the goal of optimized operation of the electric power system.