基于禁忌搜索算法的含风电机组的配电网无功优化研究  

Research on Reactive Power Optimization of the Distribution Network With Wind Power Generation Base on Tabu Search

作　　者：余健明[1] 刘飞[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,陕西西安710048

出　　处：《西安理工大学学报》2013年第1期70-75,共6页Journal of Xi'an University of Technology

摘　　要：随着分布式电源的快速发展,含分布式电源的配电网无功优化对电能质量的提高以及网络损耗的降低有重要意义。研究基于风速的随机变化特点和概率思想的场景决策法,构建了以电压不越线为约束条件,网络损耗最小为目标函数的含风电机组的配电网无功优化数学模型。采用一种自适应长度的集中性和多样性的禁忌搜索算法,对含风电机组的配电网进行无功优化。应用美国PG&E69节点算例进行计算分析,与简单禁忌搜索算法进行对比,验证了该算法的可行性和优越性。本研究结果对含风电机组的配电系统的实际优化运行具有一定的参考价值。With the rapid development of distributed generation,reactive power optimization in distribution network with DG is important significant to improve power quality and reduce network losses.Reactive power optimization mathematical model is constructed based on scenes decision-making method of probabilistic thinking,which takes the smallest loss and node voltage constraints and random variation of the wind speed into consideration.The improved tabu search algorithm,which is a intensification and diversification of self-adaptive length,is applied to solving of the reactive power optimization problem in distribution network with wind turbine.Finally,this improved algorithm is used to calculate and analyze the United States PGE69 bus test case,the result shows that this algorithm is more feasible and superior to simple tabu search.The study case has a certain reference value on actual optimal operation of distribution system with wind power.

关 键 词：分布式发电 风电机组 无功优化 自适应长度 集中性与多样性 禁忌搜索算法 

分 类 号：TM712[电气工程—电力系统及自动化]