考虑冷热电多种负荷需求响应(Demand response,DR),引入碳排放成本,并以 日总成本最小为目标,构建了一个含先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)的冷电热综合能源系统(Integrated cold-electricity-heat energy system,ICE-HS)优化运行模型.首先,考虑冷热电3种负荷的需求响应,对AA-CAES产生的电能、热能和冷能进行建模.其次,对源荷不确定性采用拉丁超立方采样与K-means聚类相结合的方法进行处理.最后,以ICEHS购能成本、运维成本、需求响应成本、碳排放成本之和最小为 目标函数进行研究.以一个典型的社区综合能源系统作为算例,设置4种典型场景对所提模型的有效性进行验证.结果表明:AA-CAES和DR能有效降低ICEHS成本和碳排放量.
Optimized Operation of Integrated Energy Systems Considering Multiple Load Demand Response
An integrated cold-electricity-heat energy system(ICEHS)operation optimization model with advanced adiabatic compressed air energy storage(AA-CAES)was proposed,considering the demand re-sponse(DR)of multiple loads including cooling,heating and power,introducing the carbon emission cost,and aiming at minimized total daily cost.Firstly,the cold,heat and power generated by AA-CAES was modeled considering the demand response of the three types of loads.Source-load uncertainty was then generated with combined Latin hypercubic sampling and K-means clustering.Finally,the minimization of the total cost summing the energy purchase cost,operation and maintenance cost,demand response cost,and carbon emission cost of the ICEHS was analyzed.Using a typical community ICEHS as an example,four typical scenarios were set up to verify the effectiveness of the proposed model.Results show that AA-CAES and DR can effectively reduce ICEHS cost and carbon emission.
advanced adiabatic compressed air energy storageintegrated energy systemsdemand re-sponsecarbon emission costoperation optimization
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