Line Hardening and Energy Storage System Configuration Strategies for Resilience Enhancement of a Hybrid AC-DC Distribution System

被引：0
|
作者：
Zhou S. [1 ]
Liu X. [2 ]
Xiong Z. [1 ]
Wang X. [1 ]
Jiang C. [1 ]
Zhang S. [1 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai
[2] State Grid Suzhou Power Supply Company, Suzhou
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2021年 / 55卷 / 12期
关键词：
Hybrid AC-DC distribution system; Nested column-and-constraint method; Resilient distribution system; Two-stage robust optimization;
D O I：
10.16183/j.cnki.jsjtu.2021.279
中图分类号：
学科分类号：
摘要：
Line hardening and energy storage configuration are important parts of the pre-disaster planning defense strategy, which can effectively improve the disaster prevention and emergency response capabilities of the hybrid AC-DC distribution system (HDS). Under the background of frequent extreme events, a method to improve the resilience of hybrid AC-DC distribution system considering line hardening and energy storage resource allocation is proposed, and a two-stage robust optimization model is constructed. Essentially, the model is a tri-level mixed integer nonlinear programming problem. The outer level evaluates the active behavior of HDS to determine the line hardening and energy storage system configuration strategies, the middle level determines the worst line failure set after the extreme event occurs, which is the passive behavior of HDS, and the inner level evaluates the active behavior of HDS to determine the emergency response and the operation strategies. Based on the nested column and constraint generation algorithm (nested column and constraint generation, NC&CG), the 3-level mixed integer linear programming model is solved. Finally, a simulation analysis is conducted with a 9-node DC distribution network and an improved IEEE-33 node hybrid AC-DC distribution system coupled with a ring AC distribution network as an example. The results show that the proposed method can effectively improve the resilience of the distribution network and ensure its safe and reliable operation in extreme events. © 2021, Shanghai Jiao Tong University Press. All right reserved.
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页码：1619 / 1630
页数：11
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