Resilience-Oriented Co-Deployment of Remote- Controlled Switches and Soft Open Points in Distribution Networks

被引:30
作者
Yang, Xiaodong [1 ]
Zhou, Zhiyan [2 ]
Zhang, Youbing [3 ]
Liu, Jiancun [4 ]
Wen, Jinyu [5 ]
Wu, Qiuwei [6 ]
Cheng, Shijie [5 ]
机构
[1] Hefei Univ Technol, Anhui Prov Key Lab Renewable Energy Utilizat & Ene, Hefei 230009, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Baoding 071003, Peoples R China
[3] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
[4] Tianjin Univ Technol, Sch Elect Engn & Automat, Tianjin 300384, Peoples R China
[5] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
[6] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
Resilience; Load modeling; Distribution networks; Planning; Costs; Control systems; Investment; Co-deployment; distribution network; multiple recovery stages; resilience improvement; remote-controlled switch; soft open point; ACTIVE DISTRIBUTION NETWORKS; UNBALANCED DISTRIBUTION-SYSTEMS; SERVICE RESTORATION; MODEL; POWER; ALLOCATION; OPERATION;
D O I
10.1109/TPWRS.2022.3176024
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Soft open points (SOPs) can perform load transferring and voltage support, helping to expand the range of service restoration in distribution networks (DNs) under fault scenarios. In addition, in the field of DN restoration, SOPs are usually controlled in coordination with switch actions (e.g., the network reconfiguration). However, in the planning level, the coordinated deployment of SOPs and remote-controlled switches (RCSs) has never been studied in the literature. To this end, for the first time, this paper proposes a co-deployment framework for SOPs and RCSs incorporating active management of flexible resources for resilience improvement in DNs, in which the coupled multiple recovery stages are also modeled and included. The objective is to minimize the investment cost of SOPs and RCSs, along with the cost caused by de-energized loads, with the consideration of exhaustive DN operation constraints over proactive islanding, degradation, isolation and restoration stages. Furthermore, resilience-cost tradeoff is analyzed to help DN managers determine equipment investment plans. The formulated model is further transformed into a mixed-integer second-order cone programming model that can be thus efficiently solved. Simulation results on modified IEEE 34-node and IEEE 123-node test systems verify the effectiveness of the proposed model.
引用
收藏
页码:1350 / 1365
页数:16
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