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基于改进NSGA2算法的考虑风机接入电能质量的多目标电网规划

姜惠兰 安星 王亚微 秦景忠 钱广超

中国电机工程学报Issue(21):5405-5411,7.
中国电机工程学报Issue(21):5405-5411,7.DOI:10.13334/j.0258-8013.pcsee.2015.21.003

基于改进NSGA2算法的考虑风机接入电能质量的多目标电网规划

Improved NSGA2 Algorithm Based Multi-objective Planning of Power Grid With Wind Farm Considering Power Quality

姜惠兰 1安星 1王亚微 1秦景忠 1钱广超1

作者信息

  • 1. 天津大学智能电网教育部重点实验室,天津市南开区 300072
  • 折叠

摘要

Abstract

Large scale wind farms connected to grid would bring power system a series of power quality problems. In order to ensure power grid investment economy and power quality optimization, considering the uncertainty of power output of wind farm and load forecasting, chance-constrained planning method based the multi-objective planning model for power network containing wind farm was constructed with the goals of the shortest line and the least voltage flicker level of point of common coupling (PCC). Aiming at the problems of man selection of the weight for each objective of traditional optimization algorithm and local convergence of conventional NSGA2 algorithm, the normal distribution crossover (NDX) was introduced into NSGA2 algorithm to enhance the global search ability, so as to obtain the best optimization scheme of power network planning. IEEE 6-bus system was used as an example, and the simulation results show that the proposed method has higher efficiency of decision-making. Besides, the optimal planning scheme improves power quality of PCC while ensuring the investment economy.

关键词

NSGA2/电能质量/电网规划/多目标优化/并网风电场/正态分布交叉

Key words

NSGA2/power quality/power network planning/multi-objective optimization/grid-connected wind farm/normal distribution crossover (NDX)

分类

信息技术与安全科学

引用本文复制引用

姜惠兰,安星,王亚微,秦景忠,钱广超..基于改进NSGA2算法的考虑风机接入电能质量的多目标电网规划[J].中国电机工程学报,2015,(21):5405-5411,7.

基金项目

国家自然科学基金项目(51477115)。 Project Supported by National Natural Science Foundation of China (51477115) (51477115)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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