用综合并行遗传算法求解经济调度问题

PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409) Pub Date : 2000-12-04 DOI:10.1109/ICPST.2000.898150

C. C. Fung, S. Y. Chow, K. Wong

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引用次数: 29

摘要

本文研究了一种结合模拟退火和禁忌搜索技术的并行遗传算法在经济调度问题中的应用。综合遗传算法在并行和聚类结构下实现。并行计算平台基于使用TCP/IP套接字通信设施的互联个人计算机网络。给出了一个使用10台奔腾II-350计算机网络确定13台发电机最佳负载的案例研究结果。该方法具有应用于其他电力工程问题的潜力，如机组调试和检修调度。

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Solving the economic dispatch problem with an integrated parallel genetic algorithm

The application of an integrated parallel genetic algorithm (GA) incorporating simulated annealing (SA) and tabu search (TS) techniques to the economic dispatch (ED) problem is reported in this paper. The integrated genetic algorithm is implemented in both parallel and cluster structures. The parallel computing platform is based on a network of interconnected personal computers (PC) using TCP/IP socket communication facilities. Results from a case study of determining the optimal loading of 13 generators using a network of ten Pentium II-350 computers are presented. The proposed approach has the potential to be applied to other power engineering problem such as unit commitment and maintenance scheduling.

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PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409)

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