含风电机组的配电网多目标无功规划

考虑风电机组（WindTurbine Generation，WTG）出力的随机性以及负荷的不确定性，以网损最小和无功补偿设备投资费最小作为目标，利用机会约束规划方法建立了配电网多目标无功规划模型。采用基于拉丁超立方采样的蒙特卡洛模拟嵌入非支配排序遗传算法（Non—dominatedSortingGenetic／igorithm，NSGA-II）对规划模型进行求解，得到配电网多目标无功机会约束规划问题的Pareto最优解集，避免了传统加权求解方法中权重确定的主观影响。改进的33节点配电网的仿真和分析验证了所提模型的合理性以及算法的有效性。...

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Bibliographic Details
Published in电力系统保护与控制 Vol. 41; no. 1; pp. 40 - 46
Main Author 张沈习 程浩忠 张立波 陈楷 龙禹
Format Journal Article
LanguageChinese
Published 电力传输与功率变换控制教育部重点实验室上海交通大学,上海 200240%南京供电公司,江苏 南京 210019 2013
Subjects
Pareto最优解集
多目标无功规划
拉丁超立方采样
机会约束规划
配电网
非支配排序遗传算法
机会约束规划
NSGA-II
Latin hypercube sampling
非支配排序遗传算法
拉丁超立方采样
multi-objective reactive power planning
chance constrained programming
配电网
distribution system
多目标无功规划
Pareto 最优解集
Pareto-optimal solutions
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Summary:考虑风电机组（WindTurbine Generation，WTG）出力的随机性以及负荷的不确定性，以网损最小和无功补偿设备投资费最小作为目标，利用机会约束规划方法建立了配电网多目标无功规划模型。采用基于拉丁超立方采样的蒙特卡洛模拟嵌入非支配排序遗传算法（Non—dominatedSortingGenetic／igorithm，NSGA-II）对规划模型进行求解，得到配电网多目标无功机会约束规划问题的Pareto最优解集，避免了传统加权求解方法中权重确定的主观影响。改进的33节点配电网的仿真和分析验证了所提模型的合理性以及算法的有效性。
Bibliography:ZHANG Shen-xi, CHENG Hao-zhong1, ZHANG Li-bo1, CHEN Kai2, LONG Yu2 （1. Key Laboratory of Control of Power Transmission and Conversion （Shanghai Jiao Tong University）, Ministry of Education, Shanghai 200240, China; 2. Nanjing Power Supply Company, Nanjing 210019, China）
distribution system; multi-objective reactive power planning; chance constrained programming; Latin hypercubesampling; Pareto-optimal solutions; NSGA-II
41-1401/TM
Based on the chance constrained programming method, a multi-objective reactive power planning model for distribution system is proposed, which can take into account the randomness of the wind turbine generation （WTG） as well as the uncertainty of the load. The planning objective is to minimize both the power loss and the investment of the compensators. And the model is solved by non-dominated sorting genetic algorithm （NSGA-II） combined with Latin hypercube sampling-based Monte Carlo simulation, and the pareto-optimal solutions are obtained, which can avoid the subjective impact of the
ISSN:1674-3415