期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：67
期号：3
出版社：Journal of Theoretical and Applied
摘要：In paper, a combined technique proposed for solving transmission congestion problem in deregulated power system. For improving the congestion management performance of cuckoo search (CS) algorithm, the artificial neural network (ANN) is combined with CS algorithm. Here, the CS is optimized the real power changes of the generator while transmission congestion is occurred. Thus, the ANN is used to predict the generator reschedule real power according to the transmission congestion. Hence, the computational performance of CS algorithm is enhanced. Then, the congestion management cost and power loss of the proposed method is minimized by the CS algorithm according to the transmission congestion. Proposed method is implemented in MATLAB working platform and the real power rescheduling, congest management cost, and power loss are evaluated. The congestion management performance of the proposed method (ANN-CS) is compared with CS and PSO algorithm.
关键词：Transmission Congestion; Real Power; Reschedule; Combined Algorithm; ANN-CS Algorithm; Cost; Power Loss.
