【摘要】 为实现多微网光-荷-储功率优化调度，构建了含补偿氢储能系统的多微网多目标优化调度模型。首先考虑功率平衡、蓄电池及氢储能系统出力等约束，然后以多微网的经济性、环保性和稳定性综合最优为目标函数，构建了包含光伏、氢-蓄储能和负荷的多微网多目标优化调度模型。然后，基于黑寡妇优化(black widow optimization, BWO)算法求解了3个典型光-荷-储场景下的多目标优化调度模型，并解析了目标权重对多微网调度结果的影响。算例分析验证了所提模型的有效性和优越性，结果表明：合理的需求响应和氢-蓄储能互补可以平抑功率波动和降低多微网运行成本；同时，基于所提模型生成的多目标优化调度方案较单目标优化方案更符合实际场景需求。更多还原

【Abstract】 In order to realize the optic-charge-storage power optimization scheduling, a multi-microgrid multi-objective optimization scheduling model with compensated hydrogen energy storage system was constructed. Firstly, considering the constraints of power balance, battery and hydrogen energy storage system output, and then taking the comprehensive optimal of economy, environmental protection and stability of multi-microgrid as the objective function, the multi-microgrid multi-objective optimal scheduling model including photovoltaic, hydrogen-storage energy storage and load was constructed. Then, based on the black widow optimization(BWO) algorithm, the multi-objective optimal scheduling model was solved in three typical light-load-storage scenarios, and the influence of target weights on the scheduling results of multi-micro-grid was analyzed. The effectiveness and superiority of the proposed model were verified by numerical examples. The results show that reasonable demand response and hydrogen-storage complementation can smooth power fluctuation and reduce the operating cost of multi-microgrid. At the same time, the multi-objective optimal scheduling scheme based on the proposed model is more in line with the actual scenario requirements than the single objective optimization scheme.更多还原