Optimization of Emergency Load Shedding Based on Cultural Particle Swarm Optimization Algorithm

被引：0
|
作者：
Xu, Taoyang [1 ]
Li, Changgang [1 ]
Liu, Yutian [1 ]
Liu, Chao [2 ]
Su, Dawei [3 ]
Xu, Chunlei [3 ]
Wu, Haiwei [3 ]
机构：
[1] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan, Shandong, Peoples R China
[2] China Elect Power Res Inst, Beijing, Peoples R China
[3] State Grid Jiangsu Elect Power Co Ltd, Nanjing, Jiangsu, Peoples R China
来源：
2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2019年
基金：
美国国家科学基金会; 国家重点研发计划;
关键词：
emergency load shedding; cultural algorithm; particle swarm optimization; crowding distance;
D O I：
10.1109/cec.2019.8789990
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：
A new optimization model is established in this paper to build power system emergency load shedding scheme adaptive to multi operation modes. Particle swarm optimization (PSO) is used to solve the model heuristically. To improve performance of PSO, the concept of belief space in cultural algorithm is introduced to form the cultural particle swarm optimization (CPSO). A new solution is generated in the belief space to replace the inferior solution in CPSO, and motion parameters of CPSO are adjusted by crowding distance to make the algorithm escape from local optimum. The proposed model and algorithm are validated with a provincial power grid model.
引用
收藏
页码：1208 / 1212
页数：5
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