Economic Optimal Operation of Micro Combined Cooling Heating and Power System Considering Off-Design Performance

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.