Optimal islands determination in power system restoration applying multi-objective populated simulated annealing

被引:8
作者
Abbaszadeh, Amir [1 ]
Abedi, Mehrdad [1 ]
Doustmohammadi, Ali [1 ]
机构
[1] Amirkabir Univ Technol, Elect Engn Dept, 424 Hafez Ave, Tehran 158754413, Iran
关键词
islands determination; multi-objective optimization; multi-objective populated simulated annealing; power system restoration; SECTIONALIZING STRATEGIES; GENETIC ALGORITHM;
D O I
10.1002/etep.2745
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
Despite power system operators' efforts, blackouts occur; therefore, power systems should be restored. To attain this, power system restoration is done applying different strategies after a complete blackout. The most famous one is the bottom-up strategy. Determining the islands is of extreme importance in this strategy. Hence, this paper proposes a new version of multi-objective populated simulated annealing considering the cohesiveness and the quality of islands as objective functions. The proposed method takes into account miscellaneous constraints such as black-start availability in each island, load-generation balance, power flow establishment equations, and the availability of synchronization devices. Simulation results for the IEEE 39 and 118-bus test systems confirm the effectiveness of the proposed method in determining the islands.
引用
收藏
页数:25
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