Bi-Level Coordinated Power System Restoration Model Considering the Support of Multiple Flexible Resources

被引:22
|
作者
Liu, Shengyuan [1 ,2 ]
Chen, Changming [1 ]
Jiang, Yicheng [2 ]
Lin, Zhenzhi [1 ,3 ]
Wang, Hongtao [3 ]
Waseem, Muhammad [1 ]
Wen, Fushuan [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] State Grid Zhejiang Elect Power Corp, Hangzhou 310007, Peoples R China
[3] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China
基金
中国国家自然科学基金;
关键词
Load modeling; Power systems; Power system restoration; Generators; Network topology; Optimization; Uncertainty; flexible resources; renewable energy source (RES); Index Terms; electric vehicle system (EVS) energy storage system (ESS); network topology; bi-level optimization; STRATEGY; MICROGRIDS; ALGORITHM; SEQUENCE;
D O I
10.1109/TPWRS.2022.3171201
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
When power systems encounter outages and large-scale blackouts, system restoration is critical and should be carried out with dedicated schemes. In this past, most studies divided the power system restoration into three stages (i.e., black-start zone partitioning, network reconfiguration, and load restoration) and deal with them separately. After that, few studies considering the three stages together were emerging while the support of multiple flexible resources, i.e., renewable energy source (RES), electric vehicle system (EVS) and energy storage system (ESS), were not considered comprehensively. Therefore, a bi-level coordinated power system restoration (BiCPSR) model is proposed in this work considering the support of multiple flexible resources. In the upper level, two network topology indices that describe the "reachability" and "shortest reachable distance" of buses in power systems, and the restoration characteristics of generators and loads are utilized for optimizing the start-up sequence of generators and network reconfiguration. In the lower level, the uncertainties of RES and EVS are considered by various scenarios and the support of multiple flexible resources is utilized cooperatively for accelerating the restoration process and maximizing the restorable load. Case studies on the revised IEEE 39-bus, WECC 179-bus and the actual Zhejiang power systems are performed to illustrate the basic features of the proposed model and its availability in bulk power systems. The comparisons between the proposed model and other models are also performed to illustrate the strengths of the proposed model.
引用
收藏
页码:1583 / 1595
页数:13
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