基于帕累托纳什均衡博弈的电网/多元家庭用户互动多目标优化算法

摘要

提出一种主动配电网下的电网/多元家庭用户互动多目标优化模型.分别搭建家庭光伏电源模型、电动汽车蓄电池模型以及负荷模型,并提出一种基于蓄电池操作和光伏自发自用的家庭能量管理策略.在满足用户及电网的约束的条件下,建立考虑用户舒适度、经济性和电网负荷曲线优化的多目标优化模型,并采用基于人工免疫系统的多目标优化算法对其进行求解.在获得电网侧与用户侧多个目标的帕累托曲线后,利用纳什均衡博弈进行多目标的折中决策.100个家庭能量管理系统的仿真算例表明:所提算法能有效提高用户舒适度、经济性,同时有助于电网削峰填谷.%A multi-objective optimization algorithm for the interaction between grid and multi-home user in active distribution network is proposed.Models are built for household PV(PhotoVoltaic) generation,electric vehicle battery and load respectively,and a home energy management strategy based on battery operation and domestic PV generation is proposed.A multi-objective optimization model is built and solved by the multiobjective optimization algorithm based on artificial immune system,which considers the comfort and economy of user and the optimization curve of grid loads,while satisfies the constraints of user and grid.After the Pareto curves of multiple grid-side and user-side objectives are obtained,Nash equilibrium game is then used to make a compromise decision.Case simulations for a 100-home energy management system show that,the proposed algorithm effectively improves the comfort and economy of user while is helpful for the peak-load shifting.