基于满意度原理的光柴储微网系统优化运行研究

摘要

This paper focuses on the environmental and economic optimal operation of microgrid in grid-connected and island modes.Considering the operation constrains of microgrid,a Constrained Multi-Objective Optimization Problem (CMOP) is built with the fuel cost,depreciation expense and emission cost of distributed generators as optimization objectives.The satisfying degree based fuzzy comprehensive evaluation is introduced for the conversion from multi-objective problem to single-objective one.Then the Comprehensive Learning Particle Swarm Optimization (CLPSO) is applied for the solutions of outputs from distributed generators and charge/discharge optimization of storage device in microgrid.An AC/DC hybrid microgrid including photovoltaic,diesel generator,lithium battery,electric vehicle charging points and load is researched.Optimization results demonstrate the effectiveness of the proposed models,methods,and algorithm.%围绕微网系统环保经济运行优化问题,在并网和孤岛运行状态下,建立了以分布式发电单元的发电费用、折旧费用和环境治理费用为目标,考虑微网运行约束条件的经济优化运行模型,形成多目标有约束优化问题.基于满意度原理的模糊综合判断将多目标转化为单目标问题.再应用全面学习粒子群算法,对微网内分布式电源的输出功率和储能装置充/放电优化求解.以包含光伏、柴油发电机、锂电池、电动汽车充电桩和负载的交直流混合微电网为具体研究对象,优化结果验证了所提模型、算法和方法的有效性.