Optimal Dispatch of a Multi-Energy Complementary Combined Heat and Power System with Concentrating Solar Power Plant

With the changing climate and the depletion of fossil energy, the multi-energy complementary combined heat and power (CHP) system has received widespread attention. Therefore, this paper proposes an optimal dispatch method for a multi-energy complementary CHP system containing a concentrating solar power (CSP) plant with thermal energy storage (TES). The system consists of CHP units, wind turbines (WT), photovoltaic (PV) systems, CSP plants with TES, and electric boilers (EB). With the improvements of system operation economy and stability as the objective functions, a multi-objective optimized day-ahead scheduling model of the integrated energy system is established, and multi-objective particle swarm optimization (MOPSO) is adopted to address the problem. Finally, through case studies, it is demonstrated that the optimization dispatch method effectively integrates renewable energy, balances system profits, reduces carbon dioxide emission, and ensures the stable operation of the system.