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计及信息间隙决策理论的含电动汽车充电负荷的微电网多目标规划

  • Xi'an Jiaotong University
  • State Grid Corporation of China

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

In order to build the microgrid considering both the charging of electric vehicles at the operation level and the long-term increasing of load at the planning level,the economic costs of microgrid planning are analyzed. To deal with the contradiction between load fluctuation and economic benefit,a multi-objective planning model is proposed. Meanwhile to deal with the uncertainty of long-term increasing of load,the information gap decision theory is used for simulation. Then through fuzzy membership function weighted fuzzy programming,the maximum satisfaction programming model of microgrid with charging control of electric vehicle considering uncertainty is established to coordinate the planning of microgrid. Finally,the simula-tive results show that the proposed multi-objective programming model can balance the economy and load fluctuation,which can help the planning decision-maker to cope with the uncertainty of load at the optimal cost. Furthermore,the impact of interaction between microgrid and large grid on the access of electric vehicles is further studied.

投稿的翻译标题Multi-objective planning of microgrid with electric vehicle charging load based on information gap decision theory
源语言繁体中文
页(从-至)128-134 and 158
期刊Dianli Zidonghua Shebei/Electric Power Automation Equipment
41
1
DOI
出版状态已出版 - 10 1月 2021

关键词

  • Electric vehicles
  • Information gap decision theory
  • Microgrid
  • Multi-objective weighted fuzzy programming
  • Uncertainty

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