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Quantum particle swarm optimization for micro-grid system with consideration of consumer satisfaction and benefit of generation side
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作者 LU Xiaojuan CAO Kai GAO Yunbo 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第1期83-92,共10页
Considering comprehensive benefit of micro-grid system and consumers,we establish a mathematical model with the goal of the maximum consumer satisfaction and the maximum benefit of power generation side in the view of... Considering comprehensive benefit of micro-grid system and consumers,we establish a mathematical model with the goal of the maximum consumer satisfaction and the maximum benefit of power generation side in the view of energy management.An improved multi-objective local mutation adaptive quantum particle swarm optimization(MO-LM-AQPSO)algorithm is adopted to obtain the Pareto frontier of consumer satisfaction and the benefit of power generation side.The optimal solution of the non-dominant solution is selected with introducing the power shortage and power loss to maximize the benefit of power generation side,and its reasonableness is verified by numerical simulation.Then,translational load and time-of-use electricity price incentive mechanism are considered and reasonable peak-valley price ratio is adopted to guide users to actively participate in demand response.The simulation results show that the reasonable incentive mechanism increases the benefit of power generation side and improves the consumer satisfaction.Also the mechanism maximizes the utilization of renewable energy and effectively reduces the operation cost of the battery. 展开更多
关键词 micro-grid system consumer satisfaction benefit of power generation side time-of-use electricity price multi-objective local mutation adaptive quantum particle swarm optimization(MO-LM-AQPSO)
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