Hardening planning of overhead distribution lines in typhoon-prone areas by considering the typhoon motion paths and the line load reliability

被引:11
作者
Hu, Bo [1 ]
Li, Mushui [2 ]
Niu, Tao [1 ]
Zhou, Ping [3 ]
Li, Yufei [1 ]
Xie, Kaigui [1 ]
Li, Chunyan [1 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[2] State Grid Chongqing Changshou Elect Power Supply, Chongqing, Peoples R China
[3] State Grid Chongqing Elect Econ Res Inst, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
Typhoon motion path; Structural reliability; Load reliability; Overhead distribution line; Hardening planning;
D O I
10.1016/j.ijepes.2021.106836
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
Typhoons can cause significant damage to distribution systems. For distribution systems in typhoon-prone areas, it is crucial to plan the hardening of overhead distribution lines. However, typhoon motion paths and line load reliability substantially affect the performance of hardening planning and have not been accurately modeled in many studies, thereby resulting in larger reliability assessment errors. Thus, this paper proposes a hardening planning model of overhead distribution lines for the reduction of the damage that is caused by typhoons to distribution systems in typhoon-prone areas. The proposed model effectively simulates typhoon motion paths and evaluates the line load reliability under typhoon weather. First, Monte Carlo simulation and a forward selection algorithm are applied to extract typical typhoon occurrence scenarios. Second, for each typhoon scenario, a storm track model and the Batts wind field model are used to simulate the real-time typhoon motion path and the typhoon wind field, respectively. Next, the real-time line load reliability is evaluated based on the load effect and the principle of structural reliability. The proposed hardening planning model is solved via the genetic algorithm. The IEEE 33-bus test feeder is used to evaluate the performance of the proposed model.
引用
收藏
页数:9
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