摘要
为协调微能源网运行的经济性、节能性及环保性,以日运行成本、碳交易成本和能源消耗成本为目标,建立微能源网多目标优化调度模型;并提出改进加权模糊法,将微能源网多目标优化问题转化为单目标优化问题,采用粒子群算法进行求解。所提出的改进加权模糊法可在一定程度上提高多目标之间的综合协调性和算法的鲁棒性,优化微能源网中各设备的出力,实现能源、环境和经济效益的协调发展。
Aiming at coordinating economy,energy saving and environmental protection of miniature energy network operation,this study firstly establishes a multi-objective optimal scheduling model of miniature energy network for minimizing daily operation cost,carbon transaction cost and energy consumption cost.Then an improved weighted fuzzy method is proposed to transform the multi-objective optimization problem of miniature energy network into a single-objective optimization problem.Finally particle swarm optimization is adopted to solve the problem.The proposed improved weighted fuzzy method can improve comprehensive coordination between multiple objectives and algorithm robustness,optimize output of each equipment in miniature energy network,and realize coordinated development of energy,environment and economic benefits.
作者
陈龙
CHEN Long(Huadian Inner Mongolia Energy Co.,Ltd.,Hohhot 010020,China)
出处
《电工技术》
2024年第2期52-55,59,共5页
Electric Engineering
关键词
微能源网
优化调度
多目标优化
改进加权模糊法
miniature energy network
optimal scheduling
multi-objective optimization
improved weighted fuzzy method
