文章基本信息

标题：OPTIMIZATION ECONOMIC POWER GENERATION USING MODIFIED IMPROVED PSO ALGORITHM METHODS
本地全文：下载
作者：STEVEN HUMENA ; SALAMA MANJANG ; INDAR CHAERAH GUNADIN 等
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：2016
卷号：93
期号：2
出版社：Journal of Theoretical and Applied
摘要：Fuel consumption on operation of power generation is one of the things that need to get special attention because most of the operating costs incurred is fuel costs. The output of the power generation always strived to meet the needs of the loads. Economical optimization is an attempt to minimize the cost of power generation fuel. This research proposes the application of the Algorithm Methods of Modified Improved Particle Swarm Optimization (MIPSO) that are compared with the Lagrange method and the Improved Particle Swarm Optimization (IPSO) in the case of the IEEE 30-bus system as a validation, in which the results of the simulation of MIPSO method can minimize the cost to 575.28 $/hour compared to the Lagrange method at 575.32 $/hour and IPSO method at 575.29 $ /hour. Then MIPSO Algorithm Method applied to the SULSELBAR 150 kV interconnection system are compared with the cost of a real system, the results of the simulation showed that the MIPSO method algorithm can reduce the cost of power plant to Rp. 51,706,000.- per hour or decrease operating costs of around 13.73% per hour.
关键词：Optimization Economic; Modified Improved PSO Algorithm Methods; 150kv SULSELBAR Interconnection System