Developing an improved chameleon swarm algorithm for combined cooling, heating and power micro-grid system

Combined cooling, heating, and power system has been widely applied in the micro-grid system. However, the micro-grid system reliability and safety may be adversely affected when renewable energy resources are connected to the grid. This has made the power distribution system more challenging to manage for grid operators. The proposed energy optimization management model aims to maintain a stable and reasonable power grid distribution due to biogas power, photovoltaic power, and micro gas turbine involvement to realize better utilization. For this reason, the improved chameleon swarm algorithm is developed to solve the optimal operation cost of the system by integrating different improvement strategies. Therefore, the operation strategy can achieve both economic and environmental costs more effectively. It is verified by the objective function constructed by the economic cost, environmental cost, and renewable energy utilization. Based on the specific arithmetic analysis, the use of the strategy proposed in this study can reduce the economic cost by 1.67% in summer, 6.89% in winter, and 3.42% in transition season compared to the traditional strategy, which confirms the operational cost-effectiveness of the combined cooling, heating, and power micro-grid system in different scenarios.