计及电气热综合需求响应的区域综合能源系统优化调度

区域综合能源系统(Regional Integrated Energy System,RIES)是解决社会能源利用效率低以及可再生清洁能源难以消纳问题的有效途径之一。首先建立了包含风电、多种储能以及电转气(Power-to-Gas,P2G)设备的RIES模型。针对电、气、热负荷柔性特征和可调度价值,结合三种负荷在RIES中形成的耦合关系,提出计及电-气-热多种负荷的综合需求响应模型。同时采用典型场景集考虑风电出力的不确定性,建立区域综合能源系统优化调度模型。该模型以综合运行成本最少、碳排放量最小、能效利用率最高为优化目标,利用非支配排序遗传算法(NSGA-II)进行求解并输出Pareto最优前沿解集。仿真算例设置了4种场景,分析电、气、热需求响应及P2G、储能设备接入对区域综合能源系统运行优化的影响。结果验证所建立多目标优化调度模型既能够提高能源利用效率,也能保证系统的环保经济运行。

Optimization scheduling of regional integrated energy systems based on electric-thermal-gas integrated demand response

A Regional Integrated Energy System(RIES)is one of the effective ways to solve the problems of low efficiency of social energy utilization and difficult consumption of renewable clean energy.First,the RIES model including wind power,various energy storage and Power-to-Gas(P2G)equipment is established.In view of the flexible characteristics and dispatchable value of electric,gas and thermal loads,and the coupling relationship between the three loads in RIES,an integrated demand response model that takes into account electric,gas and thermal loads is proposed,and the uncertainty of wind power contribution is considered in a typical scenario set to establish the regional integrated energy system optimization dispatch model.The model is optimized for the lowest combined operating cost,lowest carbon footprint and highest energy efficiency utilization,and solved by using the Non-Dominated Sorting Genetic Algorithm(NSGA-II)to output the Pareto optimal frontier solution set.Four scenarios are set up in the simulation case to analyze the impact of electricity,gas and heat demand response and access of P2G and energy storage equipment on the operational optimization of an RIES.The results show that the multi-objective optimization scheduling model can not only improve energy efficiency,but also ensure environmental protection and the economic operation of the system.