A Two-stage Stochastic Mixed-integer Programming Model for Resilience Enhancement of Active Distribution Networks

被引:9
|
作者
Chen, Hongzhou [1 ]
Wang, Jian [1 ]
Zhu, Jizhong [2 ]
Xiong, Xiaofu [1 ]
Wang, Wei [3 ]
Yang, Hongrui [1 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Sec, Chongqing 400044, Peoples R China
[2] South China Univ Technol, Guangzhou 510641, Peoples R China
[3] State Grid Chongqing Elect Power Co, Elect Power Res Inst, Chongqing 401123, Peoples R China
基金
中国国家自然科学基金;
关键词
Costs; Stochastic processes; Load shedding; Programming; Safety; Planning; Active distribution networks; Active distribution network (ADN); resilience; disastrous weather event; stochastic programming; ENERGY-STORAGE; DISTRIBUTION-SYSTEMS; POWER-SYSTEMS; STRATEGY; OPTIMIZATION; BATTERY;
D O I
10.35833/MPCE.2022.000467
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
Most existing distribution networks are difficult to withstand the impact of meteorological disasters. With the development of active distribution networks (ADNs), more and more upgrading and updating resources are applied to enhance the resilience of ADNs. A two-stage stochastic mixed-integer programming (SMIP) model is proposed in this paper to minimize the upgrading and operation cost of ADNs by considering random scenarios referring to different operation scenarios of ADNs caused by disastrous weather events. In the first stage, the planning decision is formulated according to the measures of hardening existing distribution lines, upgrading automatic switches, and deploying energy storage resources. The second stage is to evaluate the operation cost of ADNs by considering the cost of load shedding due to disastrous weather and optimal deployment of energy storage systems (ESSs) under normal weather condition. A novel modeling method is proposed to address the uncertainty of the operation state of distribution lines according to the canonical representation of logical constraints. The progressive hedging algorithm (PHA) is adopted to solve the SMIP model. The IEEE 33-node test system is employed to verify the feasibility and effectiveness of the proposed method. The results show that the proposed model can enhance the resilience of the ADN while ensuring economy.
引用
收藏
页码:94 / 106
页数:13
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