Optimal operation of multi-reservoir system by multi-elite guide particle swarm optimization |
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| Affiliation: | 1. Mechanical Engineering Department, Faculty of Engineering, Ege University, 35040 Bornova, Izmir, Turkey;2. Mechanical Engineering Department, Faculty of Engineering, ?zmir Bak?rçay University, 35665 Menemen, Izmir, Turkey;3. Civil Engineering Department, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;1. Universidad de Cuenca, Departamento de Ingeniería Civil, Av. 12 de Abril, Cuenca, Ecuador;2. Universidad de Cuenca, PROMAS, Av. 12 de Abril, Cuenca, Ecuador;3. KU Leuven, Hydraulics Division, Kasteelpark Arenberg 40, BE-3001 Leuven, Belgium;4. KU Leuven, Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium;5. Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Pleinlaan 2, 1050 Brussels, Belgium;1. State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, China;2. Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an, China;3. School of Computer Science and Technology, Xidian University, Xi’an, China;1. School of Hydropower & Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China;2. College of Renewable Energy, North China Electric Power University, Beijing, 102206, China |
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| Abstract: | With increasingly scarce of fossil fuel resources required for energy demand, hydropower has become one of the most important energy resources. As a renewable and sustainable energy, hydropower system has developed rapidly during recent decades. The unprecedented rate of expansion and development scale of hydropower has posed a challenge to the operation of multi-reservoir system (OMRS). The optimal operation of multi-reservoir system is a large-scaled, non-linear and multi-stage problem which subject to a series of hydraulic constraints. The main objective of OMRS is to find out the optimal hourly water discharge rate of each hydro station in the multi-reservoir system to minimize the power deficit and distribute the uniformly deficit if any. In order to solve OMRS problem effectively, in this paper, a multi-elite guide particle swarm optimization (MGPSO) is proposed by introducing archive set into standard particle swarm optimization. External archive set which can preserve elite solutions along the evolution process is employed to provide multi-elite flying directions for particles. Meanwhile, an effective constrain handling method is proposed to handle the operational constraints of OMRS problem. This proposed method is applied to a multi-reservoir system consisting of 10 cascaded hydro plants for case study. Compared with several previous methods, the simulation results of MGPSO can get better solutions with smaller energy deficit, which proves it is an alternative method to deal with OMRS problem. |
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