含有风力发电机组配电网多目标重构的研究  

Distribution network multi-objective reconfiguration with wind turbines

作　　者：李秀卿[1] 李文[1] 杨云鹏 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]许继电气继电器公司,河南许昌461000

出　　处：《电力系统保护与控制》2012年第8期63-67,共5页Power System Protection and Control

摘　　要：分布式电源(Distributed Generation,DG)发展很迅猛,对配电网络的各个方面产生不同程度的影响。为解决含有风力发电机组配电网多目标重构问题,提出将蚁群算法(ACO)和变邻域搜索算法(Variable Neigh borhood Search,VNS)、差分进化(Differential Evolution,DE)算法相结合,将风力发电机组视为PQ节点,以配电网网损最小和提高节点电压为多目标函数。以该算法对配电网开关开合状态和分布式电源输出功率同时优化,以达到多目标优化的要求,通过算例69节点系统的优化结果表明,该算法适合多目标优化,能够快速收敛到全局最优解,适合优化含有分布式电源的配电网。Distributed generation （DG） has been developing rapidly, influencing all aspects of distribution network. To solve the issue of distribution network multi-objective reconfiguration with wind turbines, this paper proposes to combine ant colony algorithm （ACO） with variable neighborhood search algorithm （Variable Neighborhood Search, VNS） and the differential evolution （Differential Evolution, DE） algorithm, regarding the wind turbine as a PQ node, and the minimum loss in distribution network and the objective function increase as multi-objective function. The proposed algorithm optimizes the state of switch opening and closing of distribution system and distributed power output power, to meet the requirements of multi-objective optimization. The optimization results of 69-node system show that the algorithm is suitable for multi-objective optimization, can quickly converge to the global optimal solution for optimizing the distribution network with distributed generation.

关 键 词：分布式电源 配电网重构 蚁群算法 变邻域搜索 差分进化 

分 类 号：TM711[电气工程—电力系统及自动化]