关键词: 工业园区, 综合能源, 能源微网, 多能互补, 优化配置, Pareto最优, 多目标差分, 熵权法, 碳排放, 可再生能源

Abstract:

In industrial parks， the coupling between traditional energy is weak，and systems of different energy operate independently，which leads to a low energy utilization rate. To improve the comprehensive efficiency of energy and utilization rate of renewable energy， different energy should be integrated in a system and complement each other. A scheme of an integrated energy microgrid for industrial parks is proposed. And the optimization model for the multi-energy microgrid is constructed， with the minimal total cost and pollutant treatment cost， as well as power grid stability and complementarity between wind and photovoltaic power as the model's objective functions and constraints. A multi-objective difference algorithm is designed based on Pareto optimal solution set， and the weight of each evaluation index is determined by entropy weight method， which turns a multi-objective function into single-objective functions. According to the simulation results， the utilization rate of renewable energy can be improved， the consumption of traditional energy， carbon emissions and economic costs of the microgrid can be reduced by the proposed algorithm.

Key words: industrial park, integrated energy, energy microgrid, multi-energy complementation, configuration optimization, Pareto optimization, multi-objective difference, entropy weight method, carbon emissions, renewable energy