Application of Firefly Algorithm in Scheduling Optimization of Combined Cooling, Heating and Power with Multiple Objectives

Abstract

This paper aims to investigate the application of firefly algorithm in scheduling optimization of combined cooling, heating and power with multiple objectives. Based on the latest multi-system optimization model of combined cooling, heating and power, a comprehensive analysis of various limiting factors such as cost, energy utilization, and environmental protection was conducted. Firefly algorithm was used to perform single-target search. The results show that through the firefly algorithm, the speed of search can be improved, and an optimal scheduling scheme of cooling, heating, power system with multiple targets can be found in a very short time. In this system, the application of firefly algorithm is beneficial to solve the system optimization problem. Therefore, it has certain promotion and application value.