| 引用本文: | 彭巧,王秀丽,邵成成,石硕,齐世雄,王智冬,严胜.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[J].电力自动化设备,2021,41(1): |
| PENG Qiao,WANG Xiuli,SHAO Chengcheng,SHI Shuo,QI Shixiong,WANG Zhidong,YAN Sheng.Multi-objective planning of microgrid with electric vehicle charging load based on information gap decision theory[J].Electric Power Automation Equipment,2021,41(1): |
|
| 摘要: |
| 为了建立能同时考虑运行层面电动汽车充电和规划层面负荷长期增长的微电网，分析了微电网规划的经济成本。针对电动汽车充电导致的负荷波动和经济效益之间的矛盾问题，构建了多目标规划模型；针对负荷长期增长的不确定性，采用信息间隙决策理论进行模拟。通过模糊隶属度函数加权模糊规划处理，建立了考虑不确定性的含电动汽车充电控制的微电网最大满意度规划模型，对微电网进行协调规划。最后，通过仿真算例验证了所提多目标规划模型具有平衡经济性和负荷波动的作用，该作用能够帮助规划决策者以最优的成本应对负荷的不确定性，并进一步研究了微电网与大电网交互时，对电动汽车接入产生的影响。 |
| 关键词: 微电网 电动汽车 多目标加权模糊规划 信息间隙决策理论 不确定性 |
| DOI：10.16081/j.epae.202012013 |
| 分类号:U469.72;TM715 |
| 基金项目:国家电网公司科技项目(未来电网形态及其演进路线)；中国博士后科学基金资助项目(2017M623172) |
|
| Multi-objective planning of microgrid with electric vehicle charging load based on information gap decision theory |
|
PENG Qiao1, WANG Xiuli1, SHAO Chengcheng1, SHI Shuo1, QI Shixiong1, WANG Zhidong2, YAN Sheng3
|
|
1.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2.State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China;3.State Grid Corporation of China, Beijing 102209, China
|
| Abstract: |
| 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. |
| Key words: microgrid electric vehicles multi-objective weighted fuzzy programming information gap decision theory uncertainty |
