面向极限生存能力提升的城市配电网反脆弱规划方法

doi:10.12204/j.issn.1000-7229.2024.01.006

电力建设 ›› 2024, Vol. 45 ›› Issue (1): 56-67.doi: 10.12204/j.issn.1000-7229.2024.01.006

• 新型电力系统韧性基础理论与关键技术·栏目主持许寅教授、时珊珊高工、魏韡副教授· • 上一篇下一篇

面向极限生存能力提升的城市配电网反脆弱规划方法

时珊珊¹(), 张琪祁¹(), 魏新迟¹(), 刘晋萍²(), 王颖²(), 许寅²

1.国网上海市电力公司,上海市 200437
2.北京交通大学电气工程学院,北京市 100044

收稿日期:2023-05-18 出版日期:2024-01-01 发布日期:2023-12-24
通讯作者: 王颖(1992),女,博士,副教授,从事韧性电网、电力-交通融合等方向的研究工作,E-mail:wangying1@bjtu.edu.cn。
作者简介:时珊珊(1985),女,博士,高级工程师,从事韧性电网、储能技术、电动汽车技术、新能源发电技术等研究工作,E-mail:sss3397@163.com;
张琪祁(1985),女,硕士,高级工程师,从事韧性电网技术、电力系统仿真和控制等相关研究工作;
魏新迟(1989),女,博士,高级工程师,从事韧性电网技术相关研究工作,E-mail:newlate@126.com;
刘晋萍(2000),女,硕士研究生,从事城市电网韧性规划等方面的研究工作,E-mail:sxdxljp2022@163.com;
许寅(1986),男,博士,教授,从事韧性电网、电力系统高性能仿真、新型电力系统频率控制等方向的研究工作,E-mail:xuyin@bjtu.edu.cn。
基金资助:
国家重点研发计划项目(2022YFB2405500);国网上海市电力公司科技项目(52094022003R)

Anti-Fragile Planning of Urban Distribution Network for Survivability Improvement

SHI Shanshan¹(), ZHANG Qiqi¹(), WEI Xinchi¹(), LIU Jinping²(), WANG Ying²(), XU Yin²

1. State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China
2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Received:2023-05-18 Published:2024-01-01 Online:2023-12-24
Supported by:
National Key Research and Development Program of China(2022YFB2405500);Science and Technology Project of State Grid Shanghai Municipal Electric Power Company(52094022003R)

摘要/Abstract

摘要：

城市电网负荷密度高、重要负荷多,提升其在极端事件下的生存能力有助于保障重要用户不间断供电,提升电网反脆弱能力,减小极端事件带来的影响和损失。提出了面向极限生存能力提升的城市配电网反脆弱规划方法。首先,提出了基于随机规划理论的城市配电网韧性规划两步骤决策框架,第一步确定候选线路加固/升级方案集合,第二步基于随机规划理论确定线路规划方案下的分布式电源最优部署方案,考虑投资经济性和极限生存能力提升效果等因素,确定最终韧性规划方案。其中,针对不同候选线路加固/升级方案,考虑可能遭遇的极端灾害,提出基于蒙特卡洛模拟和K-means聚类的极端场景生成及代表性场景筛选方法。其次,以投资经济性最优和极限生存能力提升最大化为目标,将分布式电源的规划问题构建为两阶段随机混合整数规划,并基于前述极端场景将随机规划转化为确定性的混合整数线性规划。最后,采用IEEE 33节点测试系统与123节点测试系统进行算例分析,验证所提方法的有效性。

关键词: 城市配电网, 韧性, 反脆弱规划, 极端事件, 极限生存

Abstract:

Urban power grids have high load densities and are subjected to many critical loads. Improving the extreme survival capacity of an urban power grid under extreme conditions and events help to ensure uninterrupted power supply for important users, improve the anti-vulnerability capacity of the power grid, and reduce the impact and losses caused by extreme events. In this study, an anti-fragile planning method for a large-scale urban distribution network is developed to improve the extreme survival capacity. First, a two-step decision-making framework for urban distribution network resilience planning based on the stochastic programming theory is proposed. The first step of the framework is to determine the set of candidate line reinforcement/upgrading schemes, and the second step is to determine the optimal deployment scheme of distributed power sources in the line-planning scheme based on the stochastic programming theory. The final resilience planning scheme is determined by considering factors, such as investment economy and extreme survival capacity improvement effect. Among different candidate line reinforcement/upgrading schemes, an extreme scene generation and representative scene-screening method based on Monte Carlo simulation and K-means clustering is proposed, considering the possible typhoon extreme disasters. Next, the planning problem of distributed generation is constructed as a two-stage random mixed-integer programming to optimize investment economy and maximize extreme survival capacity, and the random programming problem is transformed into a deterministic mixed-integer linear-programming problem based on the above extreme scenarios. The IEEE 33-node and 123-node distribution systems are used to verify the effectiveness of the proposed method.

Key words: urban distribution network, resilience, anti-fragile planning, extreme events, extreme survival

中图分类号:

TM73

时珊珊, 张琪祁, 魏新迟, 刘晋萍, 王颖, 许寅. 面向极限生存能力提升的城市配电网反脆弱规划方法[J]. 电力建设, 2024, 45(1): 56-67.

SHI Shanshan, ZHANG Qiqi, WEI Xinchi, LIU Jinping, WANG Ying, XU Yin. Anti-Fragile Planning of Urban Distribution Network for Survivability Improvement[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(1): 56-67.

图/表 18

图1 配电网实现极限生存的孤岛运行状态

Fig.1 The distribution network realizes the island operation state of extreme survival

图2 配电系统韧性规划框架

Fig.2 Distribution system resilience planning framework

表1 基于MCS的场景生成方法

Table 1 Scenario generation method based on MCS

图3 相似故障场景示例

Fig.3 Example of similar fault scenarios

图4 IEEE 33节点配电网模型

Fig.4 IEEE 33-node distribution network model

表2 IEEE 33节点算例在不同线路加固方案下的DG布点定容分布结果

Table 2 The DG planning results of IEEE 33-node system under different line reinforcement schemes

图5 IEEE 33节点算例在不同方案下的极限生存能力

Fig.5 The ultimate survivability of IEEE 33-node system under different schemes

图6 规划后的配电网

Fig.6 Distribution network after planning

图7 规划后的配电网极限生存运行状态

Fig.7 Survival operation state of the distribution network after planning

表3 负荷恢复情况

Table 3 Load restoration status

图8 不同预算限制下的配电网极限生存能力变化曲线

Fig.8 Variation curve of extreme survival capacity of distribution network under different budget constraints

表4 IEEE 123节点算例在不同线路加固方案下的DG布点定容分布结果

Table 4 The DG planning results of IEEE 123-node system under different line reinforcement schemes

图9 IEEE 123节点算例在不同方案下的极限生存能力

Fig.9 The ultimate survivability of IEEE 123-node system under different schemes

图A1 负荷变化曲线

Fig.A1 Load variation curve

图A2 IEEE 33节点算例SSE变化曲线

Fig.A2 SSE curve of IEEE 33-node system

图A3 代表性场景

Fig.A3 Representative scenarios

图A4 IEEE 123节点配电网模型

Fig.A4 IEEE 123-node distribution network model

图A5 IEEE 123节点算例SSE变化曲线

Fig.A5 SSE curve of IEEE 123-node system

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面向极限生存能力提升的城市配电网反脆弱规划方法

Anti-Fragile Planning of Urban Distribution Network for Survivability Improvement

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