摘要
基于风电的间歇性、随机性,建立了异步风电机的注入功率模型。考虑到风速具有Weibull分布随机性,将随机规划理论应用到含异步风电机的配电网故障恢复重构中,建立基于机会约束规划的故障恢复重构问题目标函数;然后将结合禁忌模因局部搜索的单亲遗传算法应用到模型优化求解中,加快了优化问题的求解,并以IEEE33系统算例验证了文中方法的有效性。
Due to the randomness and intermittence, a wind power injection power model is built using the wind speed as input. Considering the characteristic of Weibull wind speed distribution, stochastic programming theory is introduced into fault recovery of distribution network including asynchronous wind power generation, A Chance Constrained Programming （CCP） model is used to tackle such optimization. The Clonal Genetic Algorithm with Tabu Search and Memetic local search strategy is used to solve the problem, which could improve the search efficiency. The IEEE 33 buses system is taken as the test case to verify the proposed model and algorithm.
出处
《江苏电机工程》
2013年第2期60-63,70,共5页
Jiangsu Electrical Engineering
关键词
配电网
故障重构
异步风机
随机规划
单亲遗传算法
distribution system
fault recovery
asynchronous wind power generation
stochastic programming theory
clonalgenetic algorithm
