基于典型商业运营模式的含电-氢混合储能微电网系统优化运行方法OACSTPCD

[Objectives]Aiming at the low-carbon transformation of micro-grid,an optimal scheduling method for electric-hydrogen hybrid energy storage micro-grid was proposed to address the scheduling challenges under different business models.[Methods]Firstly,a mathematical model of micro-grid with electro-hydrogen hybrid energy storage was developed.Based on two typical business models of multi-party cooperative energy supply and multi-party independent energy supply were analyzed.Based on these models,the corresponding multi-objective optimization scheduling models and these constraints were constructed.Then,the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)was introduced,which was combined with variance crowding distance method and normal distribution crossover operator to improve optimization efficiency and solution accuracy.Finally,the simulation experiments were conducted using an operational electro-hydrogen hybrid energy storage micro-grid system in a southeastern coastal area to validate the effectiveness of the proposed method.[Results]Compared with before optimization,the economy of the multi-party cooperative energy supply business model is improved by about 4.1%,the wind-solar energy abandon rate is reduced by about 19%,and the annual carbon emission is reduced by about 47.42 t.[Conclusions]The multi-party cooperative energy supply business model aligns better with the current power market conditions of China's,and the optimized system performance is significantly enhanced.This study demonstrates that the proposed optimization scheduling method effectively supports the low-carbon transition of electro-hydrogen hybrid energy storage micro-grid under various business models.