考虑AA-CAES季节效率优化的建筑微网群多能协同优化策略  

Multi-energy Cooperative Scheduling of Building Microgrid Group Considering AA-CAES Seasonal Efficiency Optimization

作　　者：韩雪茹 杨德昌[1] Payman Dehghanian Nikita Tomin HAN Xueru;YANG Dechang;Payman DEHGHANIAN;Nikita TOMIN(College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;Department of Electrical and Computer Engineering,George Washington University,Washington D.C.20052,USA;Melentiev Energy Systems Institute SB RAS,Novosibirsk 630090,Russia)

机构地区：[1]中国农业大学信息与电气工程学院,北京市100083 [2]乔治华盛顿大学电气与计算机工程系,华盛顿20052 [3]俄罗斯科学院西伯利亚分院能源研究所,新西伯利亚630090

出　　处：《电力建设》2023年第9期94-107,共14页Electric Power Construction

基　　金：国家重点研发计划资助项目(2022YFE0129);国家自然科学基金智能电网联合基金重点项目(U2166208)。

摘　　要：先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置因具有大容量、寿命长、污染少、成本低等优点而日渐受到关注,其大容量多能联供联储特点与建筑能耗特征相匹配,接入由多建筑微网构成的区域综合能源系统(regional integrated energy system,RIES),两者相得益彰。文章建立了一种含AA-CAES的由多个建筑微网组成的区域综合能源系统模型,考虑压缩空气储能设备储气、储热双荷能状态以建立季节性效率优化模型,对AA-CAES的运行模式进行季节性优化,在区域内多能流平衡约束分析的基础上构建关于系统综合效益最优的二次约束问题,利用Gurobi求解器求解。仿真表明,改进的AA-CAES可协调区域内多个建筑微网的多能优化,提高系统经济性、节能性、环保性,促进可再生能源就地消纳与能源梯级利用。Advanced adiabatic compressed air energy storage(AA-CAES) devices are increasingly attracting attention for their advantages in offering large capacity,long life,less pollution,and low cost.The characteristics of large capacity and multiple energy co-supply are matched with those of building energy consumption,and AA-CAES is connected to the regional comprehensive energy system comprising a multi-building micro-grid.In this study,a regional integrated energy system(RIES) model consisting of multiple building microgrids with AA-CAES is established.The seasonal efficiency model is established to optimize the operation mode of AA-CAES seasonally by considering the dual energy storage state of compressed air energy storage equipment and analyzing the multi-energy flow balance constraints within the region.On this basis,the quadratic constraint problem for the optimal comprehensive benefit of the system is constructed and solved by the Gurobi solver.The simulations show that the improved AA-CAES can coordinate the multi-energy optimization of multiple building microgrids in the region,improve the economy,increase energy savings and environmental protection of the system,and promote the local consumption of renewable energy in energy cascade utilization.

关 键 词：先进绝热压缩空气储能(AA-CAES) 建筑微网群 双荷能状态 冷热电联供(CCHP) 

分 类 号：TM73[电气工程—电力系统及自动化]