基于鲁棒优化的韧性配电网重构研究  

Research on resilient distribution network reconstruction based on robust optimization

作　　者：温春雪[1] 贺哲 周京华[1] 李建林 王鹏[1] WEN Chunxue;HE Zhe;ZHOU Jinghua;LI Jianlin;WANG Peng(Beijing Future Electrochemical Energy Storage System Integration Technology Innovation Center(North China University of Technology),Beijing 100144,China)

机构地区：[1]北京未来电化学储能系统集成技术创新中心(北方工业大学),北京100144

出　　处：《电工电能新技术》2024年第12期1-10,共10页Advanced Technology of Electrical Engineering and Energy

基　　金：国家自然科学基金项目(52277211);北京市自然基金重点项目(21JC0026)。

摘　　要：由于风光发电具有随机性、波动性等缺点,且接入配电网后使其结构更加复杂,降低了配电网的供电可靠性,本文针对此问题提出拟牛顿遗传算法与鲁棒优化相结合的配电网重构。首先基于风光发电的出力模型生成概率多场景,其次建立含风光发电接入的配电网鲁棒重构优化模型,采用拟牛顿遗传算法对模型进行求解,并对比重构前后配电网电压越限风险值。最后通过算例验证了本文重构方法能够有效提升配电网的供电可靠性。Due to the randomness and volatility of wind and photovoltaic power generation,and the more complicated structure of the distribution network after being connected,the reliability of power supply of the distribution network is reduced.This paper proposes a distribution network reconstruction scheme combining the quasi-Newton genetic algorithm with robust optimization to address this issue.Firstly,based on the output model of wind and photovoltaic power generation,probability multi-scenarios are generated.Secondly,a robust reconstruction optimization model of the distribution network with wind and photovoltaic power generation access is established,and the quasi-Newton genetic algorithm is used to solve the model.The risk value of voltage out of limit in the distribution network before and after reconstruction is compared.Finally,an example is given to verify that the reconstruction method in this paper can effectively improve the reliability of power supply of the distribution network.

关 键 词：风光发电 概率多场景 鲁棒优化 配电网重构 拟牛顿遗传算法 

分 类 号：TM732[电气工程—电力系统及自动化]