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一种基于模糊学习子群的多目标粒子群算法 被引量:2
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作者 江勋林 郭坚毅 +1 位作者 唐建 凌海风 《计算机应用研究》 CSCD 北大核心 2011年第12期4492-4494,共3页
为提高多目标粒子群算法的局部搜索能力,提出了一种模糊学习子群多目标粒子群算法(FLSMOP-SO)。在搜索过程中,每个粒子模糊自适应学习生成不确定的p个粒子形成一个子群而不是只产生一个新粒子,然后在其中选择模糊满意解作为其下一代新... 为提高多目标粒子群算法的局部搜索能力,提出了一种模糊学习子群多目标粒子群算法(FLSMOP-SO)。在搜索过程中,每个粒子模糊自适应学习生成不确定的p个粒子形成一个子群而不是只产生一个新粒子,然后在其中选择模糊满意解作为其下一代新粒子。对四个典型测试函数的实验结果表明,新算法比NSGAⅡ和MOPSO两种经典多目标优化算法有显著的优越性。 展开更多
关键词 多目标粒子群算法 模糊学习 自适应子群
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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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