Reactive power optimization method for wind turbine distribution network based on multi-scenario analysis

Abstract

A multi-scene analysis-based reactive power optimization method for a power distribution network of a wind power generation set comprises the steps of constructing a reactive power optimization mathematical model for the power distribution network of the wind power generation set, wherein the reactive power optimization mathematical model comprises a reactive power optimization target function and a reactive power optimization constraint condition; determining the reactive power optimization target function by employing a multi-scene analysis method according to output charge of the wind power generation set and load fluctuation; and solving the reactive power optimization mathematical model by a particle swarm optimization method. According to the method, the output change of the wind power generation set and random fluctuation of a load are fully considered, the output of the wind power generation set and the load are divided into a plurality of sections to form a plurality of scenes by constructing the reactive power optimization model for the power distribution network of the wind power generation set and employing the scene analysis method, the minimum expected value of active power network loss in the scenes is used as an optimization target, and then reactive power optimization is performed by the particle swarm optimization method so that the method is suitably used for processing reactive power optimization of the power distribution network of the wind power generation set.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a reactive power optimization method for a distribution network of wind turbines based on multi-scenario analysis. Background technique [0002] Reactive power optimization of distribution network is an important measure to ensure the safe and economical operation of power system. In the traditional distribution network, the main factor affecting the accuracy of reactive power optimization results is the uncertainty of load. With the rapid development of wind power generation, the penetration rate of wind power in the distribution network continues to increase. The fluctuation and uncertainty of its output power make the traditional reactive power optimization method not fully applicable to the distribution network containing wind turbines. [0003] Application No. 201410392542.8 discloses the invention patent "a method and system for power system reactive power optimizati...

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Problems solved by technology

[0004] In view of the problem that the traditional reactive power optimization method cannot be applied to the distribution network containing wind turbines, this application provides a reactive power optimization method for wind turbine distribution network based on multi-scenario analysis, including steps:

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