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dc.contributor.authorชาญวิทย์ บุญช่วยen_US
dc.contributor.authorเมธี ฉายอรุณen_US
dc.contributor.authorสมพล บุญญสุวรรณโณen_US
dc.date.accessioned2016-05-17T08:40:28Z
dc.date.available2016-05-17T08:40:28Z
dc.date.issued2012-09
dc.identifier.urihttp://repository.rmutr.ac.th/handle/123456789/70
dc.description.abstractIn this research, the optimal generation scheduling based on particle swarm optimization (PSO) is proposed. The generation scheduling concerns the operation between thermal and hydro power plants. The research aims to minimize the production cost of generators with satisfying technical constraints such as generation limits, power balance, water and reservoir limits, etc. The PSO-based approach is compared to other stochastic optimizers, i.e., genetic algorithm (GA), simulated annealing (SA), and evolutionary programming. The research finds that PSO could provide better solutions for the optimal generation scheduling problem compared to the others. Especially, Self-organizing hierarchical particle swarm optimization with time-varying coefficient (SPSO-TVAC) could provide the least operation cost of the electricity generation. The proposed approach could be applied to a short term planning for power industry. And it could be used to provide an optimal solution for other applications such as energy management.en_US
dc.description.sponsorshipRajamangala University of Technology Ratanakosinen_US
dc.language.isoTHen_US
dc.publisherมหาวิทยาลัยเทคโนโลยีราชมงคลรัตนโสินทร์en_US
dc.subjectเครื่องกำเนิดไฟฟ้าen_US
dc.subjectDevelopment of Computationalen_US
dc.subjectโรงไฟฟ้าพลังงานความร้อนen_US
dc.subjectโรงไฟฟ้าพลังงานน้ำen_US
dc.subjectโปรแกรมเชิงวิวัฒน์en_US
dc.titleDevelopment of Computational Intelligent Units for Optimal Generation Schedulingen_US
dc.title.alternativeการพัฒนาหน่วยปัญญาเชิงคำนวณสำหรับการจัดตารางเดินเครื่องกำเนิดไฟฟ้าอย่างเหมาะสมที่สุดen_US
dc.typeResearchen_US


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