期刊文献+

含机会约束的柔性互联配电网供电恢复方法

Power Supply Restoration Method for Flexible Interconnected Distribution Networks with Opportunity Constraints
下载PDF
导出
摘要 随着分布式电源的接入,其出力的不确定性势必会影响柔性互联配电网的供电恢复。为此建立了供电恢复机会约束模型,使用威布尔分布和贝塔分布模拟风光出力,采用抽样平均近似方法把模型变换成混合整数二次约束规划模型进行求解,并以三端口智能软开关互联三个IEEE 33节点网络为算例进行分析验证。结果表明:随着置信水平降低,恢复负荷比例增加,网络损耗与电压偏差增大。为了平衡电网运行安全性与经济性,应对置信水平保持合理设置。 With the access of distributed generation,the uncertainty of its output will inevitably affect the power supply recovery of the flexible interconnected distribution network.Based on this,a power supply recovery opportunity constraint model was established.Weibull distribution and Beta distribution were used to simulate the wind and solar output,and the sampling average approximation method was used to transform the model into a mixed integer quadratic constrained programming model for solution,and three IEEE 33 node networks interconnected by three port intelligent soft switches were analyzed and verified.The results show that the proportion of recovery load increases,and the network loss and voltage deviation increase with the decrease of confidence level.In order to balance the safety and economy of grid operation,the confidence level should be set reasonably.
作者 李莉 余云雯 袁旭峰 熊炜 徐玉韬 刘卉莲 Li Li;Yu Yunwen;Yuan Xufeng;Xiong Wei;Xu Yutao;Liu Huilian(Electric Science Research Institute,Guizhou Power Grid Co.,Ltd.,Guiyang Guizhou 550002,China;School of Electrical Engineering,Guizhou University,Guiyang Guizhou 550025,China;Duyun Power Supply Bureau,Guizhou Power Grid Co.,Ltd.,Duyun Guizhou 558000,China)
出处 《电气自动化》 2023年第5期38-41,共4页 Electrical Automation
基金 国家自然科学基金(51667007) 国家自然科学基金(52067004) 贵州省科学技术基金(黔科合支撑[2022]一般012)。
关键词 柔性互联配电网 智能软开关 供电恢复 机会约束 flexible interconnected distribution network smart soft switch power supply restoration opportunity constraints
  • 相关文献

参考文献7

二级参考文献77

  • 1赵霞,赵成勇,贾秀芳,李庚银.基于可变权重的电能质量模糊综合评价[J].电网技术,2005,29(6):11-16. 被引量:181
  • 2王成山,陈恺,谢莹华,郑海峰.配电网扩展规划中分布式电源的选址和定容[J].电力系统自动化,2006,30(3):38-43. 被引量:246
  • 3MASTERS G M.高效可再生分布式发电系统[M].王宾,董新洲,译.北京:机械工业出版社,2009. 被引量:2
  • 4WANG Caisheng, NEHRI M H. Analytical approaches foroptimal placement of distributed generation sources in powersystems[J]. IEEE Trans on Power Systems, 2004,19(4):2068-2076. 被引量:1
  • 5ACHARYA N, MAHAT P, MITHULANANTHAN N. Ananalytical approach for DG allocation in primary distributionnetwork[J]. International Journal of Electric Power and EnergySystems, 2006, 28(10): 669-678. 被引量:1
  • 6MARTINS V F, BORGES C L T. Active distribution networkintegrated planning incorporating distributed generation andload response uncertainties [ J ].IEEE Trans on PowerSystems, 2011,26(4) : 2164-2172. 被引量:1
  • 7HOSSEINI R K, KAZEMZADEH R. Optimal DG allocationby extending an analytical method to minimize losses in radialdistribution systems [C]// 19th Iranian Conference onElectrical Engineering, May 17-19,2011, Tehran, Iran: 6p. 被引量:1
  • 8BORGES C L T,FALCAO D M. Optimal distributedgeneration allocation for reliability,losses, and voltageimprovement[J]. International Journal of Electrical Power andEnergy System, 2006, 28(6) : 413-420. 被引量:1
  • 9MOEINI-AGHTAIE M, DEHGHANIAN P,HOSSEINI S H.Optimal distributed generation placement in a restructuredenvironment via a multi-objective optimization approach[C]//16th Electrical Power Distribution Conference, April 19-20,2011,Bandar Abbas, Iran: 6p. 被引量:1
  • 10BARAN M, WU F. Network reconfiguration in distributionsystems for loss reduction and load balancing[J]. IEEE Transon Power Systems, 1989,4(2) : 1401-1407. 被引量:1

共引文献139

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部