计及高渗透率分布式电源的韧性配电网数据驱动鲁棒规划方法  被引量:9

Data-Driven Robust Planning Method for Resilient Distribution Networks Considering High-Permeability Distributed Generation

在线阅读下载全文

作  者:黄梦旗 李勇汇 曾海燕[2] 陈艳[2] 王宣 王东旭[2] 杨军[1] HUANG Mengqi;LI Yonghui;ZENG Haiyan;CHEN Yan;WANG Xuan;WANG Dongxu;YANG Jun(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;State Grid Wuhan Electric Power Supply Company,Wuhan 430014,China)

机构地区:[1]武汉大学电气与自动化学院,武汉市430072 [2]国网武汉供电公司,武汉市430014

出  处:《电力建设》2023年第6期79-90,共12页Electric Power Construction

基  金:国家自然科学基金项目(51977154)。

摘  要:考虑高渗透率分布式电源(distributed generation,DG)接入给配电网带来的影响,提出了一种计及配电网韧性的数据驱动鲁棒规划方法。首先提出了含高渗透率分布式电源的韧性综合评价体系;接着将三阶段规划模型转换成二阶段数据驱动鲁棒规划模型,完成对线路加固方案以及分布式电源位置和容量的最优配置;采用基于极限场景法的改进列约束生成算法(column-and-constraint generation,C&CG)对鲁棒模型进行求解。最后,通过算例分析所提韧性提升措施的效果。结果表明,所提方法能够有效量化配电网韧性,进而为含高渗透率分布式电源的韧性配电网规划提供参考。By considering the impact of high-permeability distributed generation access on distribution networks,a datadriven robust planning method that accounts for the resilience of a distribution network is proposed.First,a comprehensive resilience evaluation system with high-permeability distributed generation is proposed.The three-stage planning model is then transformed into a two-stage data-driven robust planning model to complete the decision-making of the line-reinforcement scheme and the optimal allocation of distributed generation location capacity.An improved column and constraint generation algorithm based on the limit scenario method is used to solve the robust model.Finally,an example is provided to analyze the effects of the proposed resilience improvement measures.The results show that the proposed method can effectively quantify the resilience of a distribution network and provide a reference for resilient distribution network planning with highpermeability distributed generation.

关 键 词:高渗透率 分布式电源(DG) 韧性 数据驱动 二阶段鲁棒规划 

分 类 号:TM73[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象