上海交通大学学报

上海交通大学学报 >

2023 , Vol. 57 >Issue 9: 1137 - 1145

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.090

新型电力系统与综合能源

基于模糊场景聚类的微电网两阶段优化配置

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  • 1.上海电力大学 电气工程学院, 上海 200090
    2.天津大学 电气自动化与信息工程学院, 天津 300072
    3.宁波电力设计院,浙江 宁波 315000
米阳(1976-),教授,从事微电网控制研究.

收稿日期: 2022-03-31

  修回日期: 2022-08-25

  录用日期: 2022-10-17

  网络出版日期: 2023-04-21

基金资助

国家重点研发计划(2018YFB1503001);上海市自然科学基金(22ZR1425500)

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Two-Stage Optimal Configuration of Microgrid Based on Fuzzy Scene Clustering

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  • 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
    3. Ningbo Electric Power Design Institute, Ningbo 315000, Zhejiang, China

Received date: 2022-03-31

  Revised date: 2022-08-25

  Accepted date: 2022-10-17

  Online published: 2023-04-21

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摘要

针对极端天气会对微电网的稳定运行造成一定影响的问题,提出一种基于模糊场景聚类的微电网优化配置策略.利用历史天气数据,采用模糊场景聚类方法处理源侧天气的随机性导致新能源出力波动的问题;并在负荷侧建立鲁棒优化模型,处理一定范围内的负荷波动.利用一年中8 760 h的场景,区分模糊场景聚类所特有的隶属特征,得到典型场景和极端场景.考虑极端场景对微电网优化配置的影响,建立以综合成本最小的两阶段鲁棒模型,运用列和约束生成算法进行分解,最后用Cplex求解器迭代求解.仿真分析验证了所提优化配置策略的有效性与可行性.

关键词： 微电网; 模糊场景聚类; 鲁棒优化; 优化配置

本文引用格式

米阳, 李海鹏, 陈博洋, 彭建伟, 魏炜, 姚艳 . 基于模糊场景聚类的微电网两阶段优化配置[J]. 上海交通大学学报, 2023 , 57(9) : 1137 -1145 . DOI: 10.16183/j.cnki.jsjtu.2022.090

Abstract

Aimed at the impact of extreme weather on the stable operation of microgrid, an optimal configuration strategy of microgrid based on fuzzy scene clustering is proposed. Using historical weather data, a fuzzy scene clustering method is used to deal with the problem of new energy output fluctuations caused by random weather on the source side, and a robust optimization model is established on the load side to deal with load fluctuations within a certain range. Using scenes of 8 760 hours in a year, typical scenes and extreme scenes are obtained by distinguishing the unique membership characteristics of fuzzy scene clusters. Considering the impact of extreme scenarios on the optimal configuration of the microgrid, a two-stage robust model with the smallest comprehensive cost is established, which is decomposed by the column and constraint method, and is finally solved iteratively by Cplex solver. The effectiveness and feasibility of the proposed optimal configuration strategy are verified by simulation analysis.

Key words： microgrid; fuzzy scenario clustering; robust optimization; optimal configuration

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