计及需求响应不确定性的综合能源系统多目标优化调度管理

Multi-objective Optimal Dispatch Management of Integrated Energy System Considering Uncertainty of Demand Response

需求响应作为电力系统的重要调节手段,可显著提升系统灵活性和经济性。利用价格弹性构建了包含价格与激励措施的需求响应模型,并在此基础上考虑需求响应的不确定性,以综合能源系统经济性和环保性为优化目标,构建了综合能源系统多目标优化调度模型。利用E约束法将多目标优化模型转化为单目标优化模型,得到Pareto最优解集,运用模糊决策法从中选取最优方案。基于实际案例进行测算,结果表明价格型与激励型需求响应手段的结合能够实现削峰填谷,有效降低系统的运行成本和碳排放量。

As an important regulation means of power system,demand response can significantly improve system flexibility and economy.Based on the time-of-use electricity price mechanism,the demand response model including price and incentive measures is constructed by using the price elasticity matrix,and on this basis,the uncertainty of demand response is considered,and the multi-objective optimization scheduling model of the integrated energy system is constructed by taking the economy and environmental protection of the integrated energy system as the optimization objectives.The constraint method is used to transform the multi-objective optimization model into the single-objective optimization model,Pareto optimal solution set is obtained,and the fuzzy decision method is used to select the optimal scheme.Based on the actual case,the calculation results show that the combination of price and incentive demand response means can achieve peak load cutting and effectively reduce the operating cost and carbon emissions of the system.