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 |
| 卷 | 41 |
| 期 | 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
学术指纹
探究 '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' 的科研主题。它们共同构成独一无二的指纹。引用此
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