中文摘要：

设计了一套含储热装置的小型内燃发电机组冷热电联供系统（combined cooling heating and power,CCHP）,在计及主要设备变负荷特性的基础上,提出了由折旧运行成本、能源成本和环境成本构成的经济优化模型。同时通过构建基于瞬时系统模拟程序与Matlab的联合优化仿真平台,引入遗传算法求解得到燃机日逐时最优工况。以某地办公建筑夏、冬两季典型日负荷为例,详细分析了主要单元出力及各经济成本的变化情况。结果表明,相比＂以电定热＂的传统运行模式,优化工况在充分结合储热装置与分时电价机制的基础上有效提高了系统的综合经济性。上述研究结果可为CCHP系统的优化运行提供理论依据和平台支撑。

英文摘要：

Due to complexity of structures and off-design performance of combined cooling heating and power（CCHP） system, its optimal operation undoubtedly faces many challenges. This paper designs a micro-CCHP system driven by an internal combustion engine, containing heat storage tank. Moreover, an economic optimization model consisting of depreciation, energy and environment costs is proposed, considering off-design performance of facilities. Based on a novel co-simulation optimization platform combining Transient System Simulation Program and Matlab, genetic algorithm is employed to identify optimal operation strategies. A simulation case study is performed using daily load of an office building in summer and in winter. Variations of power and cost are analyzed scientifically. Results show that, compared to following electric demand mode, optimal operation strategies effectively improve comprehensive economic benefits of CCHP system based on heat storage device and time-of-use price. This paper provides theoretical basis and platform support for optimal operation study of CCHP system.