Optimized Operation of the CCHP System based on MSCOA Algorithm

This paper introduces an optimized energy management framework for scheduling CCHP operations, incorporating key components such as a gas-driven turbine, an absorption chiller, and an electric air conditioner To minimize operating costs, a Multi-Strategy Improved Coati Optimization Algorithm (MSCOA) is developed, considering system constraints and time-of-use tariffs. Case studies demonstrate that, compared to MSBWO, MSCOA reduces operating costs by 2.24% in summer and 4.55% in winter, and by 1.31% and 1.92%, respectively, compared to MSPSO.