基于改进乌燕鸥算法的分布式电源优化配置
CSTR:
作者:
作者单位:

(山东科技大学电气与自动化工程学院,山东 青岛 266590)

作者简介:

肖永江(1996—),男,硕士研究生,研究方向为电力系统运行与控制;E-mail: 1785897859@qq.com 于永进(1980—),男,通信作者,博士,副教授,主要研究方向为电力系统运行与控制;E-mail: yaydjto@163.com 张桂林(1983—),男,博士,副教授,研究方向为滞环非线性建模与控制。E-mail: zhangguilin@sdust.edu.cn

通讯作者:

中图分类号:

基金项目:

山东省重点研发计划资助(2019GGX103049)


Optimal configuration of distributed power generation based on an improved sooty tern optimization algorithm
Author:
Affiliation:

(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    对分布式电源(DG)接入配电网进行合理规划配置,能够在兼顾运营商和用户利益的同时,提高系统电压稳定性。在考虑经济指标的情况下,提出了一种新的系统电压增强指标,改善了系统整体电压分布。建立了多目标优化模型,利用层次分析法确定各目标函数的权重,进而转化成单目标函数规划问题。针对乌燕鸥算法全局搜索能力较强和局部搜索能力较弱的缺点,提出了一种新颖的改进乌燕鸥算法。将遗传算法的变异思想融入其中,进行DG的优化配置,提高了收敛速度和收敛精度。通过算例验证了改进的乌燕鸥算法对改善系统电压分布效果明显,所建立的模型有很好的实际意义。

    Abstract:

    Reasonable planning and configuration of distributed power generation (DG) accessing the distribution network can improve system voltage stability while taking into account the interests of operators and users. In this paper, considering economic indicators, a new system voltage enhancement indicator is proposed to improve the overall voltage distribution of the system. A multi-objective optimization model is established, and an analytic hierarchy process is used to determine the weight of each objective function, which is then transformed into a single objective function programming problem. Given the problem that the sooty tern optimization algorithm has relatively strong global search ability but its local search ability is weak, a novel and improved sooty tern optimization algorithm is proposed. It incorporates the genetic algorithm's mutation idea and optimizes the configuration of DG. This improves convergence speed and accuracy. The calculation example verifies that the improved sooty tern optimization algorithm has a good effect on improving the system voltage distribution, and the established model has good practical significance. This work is supported by the Key Research and Development Program of Shandong Province (No. 2019GGX103049).

    参考文献
    相似文献
    引证文献
引用本文

肖永江,于永进,张桂林.基于改进乌燕鸥算法的分布式电源优化配置[J].电力系统保护与控制,2022,50(3):148-155.[XIAO Yongjiang, YU Yongjin, ZHANG Guilin. Optimal configuration of distributed power generation based on an improved sooty tern optimization algorithm[J]. Power System Protection and Control,2022,V50(3):148-155]

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-04-10
  • 最后修改日期:2021-07-06
  • 录用日期:
  • 在线发布日期: 2022-01-30
  • 出版日期:
文章二维码
关闭
关闭