Modeling method for medium and long-term wind power output model of power system capable of optimally running for medium and long terms

Abstract

The invention discloses a modeling method for a medium and long-term wind power output model of a power system capable of optimally running for medium and long terms. The modeling method has the advantages that wind power output of the power system in day peak periods, day valley periods and day shoulder load periods is computed, wind power output data in the day shoulder load periods are optimally selected, a wind power generation capacity substitution benefit is reasonably taken into consideration, a bidirectional wind power output peak-load regulation characteristic is considered on the premise that the running reliability level of the power system is guaranteed, the peak-load regulation balance of the power system is guaranteed, energy conservation and emission reduction benefits of wind power resources are sufficiently realized, the highest utilization rate of the wind power generating capacity is guaranteed, the characteristic of low schedulability of wind power is sufficiently taken into consideration, the randomness and the volatility of wind power output are correctly simulated, the modeling method conforms to medium and long-term optimal running simulation engineering practice of the power system, and the purpose of effectively computing the randomness, the volatility, the regionalism and the bidirectional peak-load regulation characteristic of wind power generation and the mutual relation among wind power generation and loads is achieved.

Description

technical field [0001] The present invention specifically relates to a method for modeling a medium- and long-term wind power output model for medium- and long-term optimal operation of an electric power system. Background technique [0002] At present, the medium and long-term operation optimization of the power system starts from the overall and actual situation of the power system, fully considers the power generation characteristics of various power sources in the power system, and makes full use of renewable energy resources such as hydropower and wind power in the power system. Monthly typical day (or week) power generation scheduling simulation is carried out within a horizontal year to determine the optimal working position and capacity of each power station on the power system daily load curve, so as to ensure the reliability of the power system, environmental protection benefits and various power generation constraints. Under these conditions, the optimal operation...

AI Technical Summary

Problems solved by technology

This method simulates wind power output by random sampling in the range from zero to the rated output of wind power, and can consider various constraints including wind power system operation; The irreproducibility of the results is unacceptable

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