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论文类型：期刊论文

发表时间：2010-10-01

发表刊物：JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL

收录刊物：SCIE、EI、Scopus

卷号：49

期号：5

页面范围：750-756

ISSN号：1064-2307

摘要：The operation optimization problem of steam power systems for multiperiod operation with varying demands is formulated. The objective function of the mode! is to minimize the operational cost of steam power systems for all periods, by taking into account the cost of fuel, and feed-water, as well as the expenses of maintenance and startup/shutdown. In order to obtain the optimal solution of the foregoing model, an improved particle swarm optimization method based on the ideal of simulated annealing algorithm (IPSOSA) is proposed, in which IPSOSA are applied to make particles have tendency to global optimum. Finally, cases are considered for illustrating the advantage of proposed optimization approach, with quantitive results presented. Results show that the IPSOSA algorithms are much more efficient and generate higher quality solutions than some existing particle swarm optimization algorithms.