期刊名称：International Journal of Energy and Environment
印刷版ISSN：2076-2895
电子版ISSN：2076-2909
出版年度：2010
卷号：1
期号：5
页码：769-782
出版社：International Energy and Environment Foundation (IEEF)
摘要：The hydrological interdependence of plants in cascaded hydroelectric system means that operation of any plant has an effect on water levels and storage at other plants in the system. Hydro-logically efficient operation of power plants in such cascaded system requires that water resources should be managed efficiently, so that it can dispatched to predicted demand considering all physical and operational constraints. Meta-heuristic optimization techniques particularly Particle Swarm Optimization (PSO) and its variants have been successfully used to solve such problem. In this paper Time Varying Acceleration coefficients PSO (TVAC_PSO) has been used to determine the optimal generation schedule of real operated cascaded hydroelectric system located at Narmada river in state Madhya Pradesh, India. Results thus obtained from TVAC_PSO are compared with Novel Self Adaptive Inertia Weight PSO (NSAIW_PSO) and found to give better solution.
