Low carbon economic scheduling of integrated energy system based on particle swarm optimization algorithm

Abstract:
This study proposed low-carbon economic scheduling of the integrated energy system. The scheduling method considers the operating costs of each unit in the system, meets the requirements of the system thermal power load and focuses on the economic optimal as a goal to analyze the carbon emissions of the system. This study uses an improved particle group algorithm for scheduling. Through example analysis, the calculation results verify the rationality and scheduling economics of the structure and realize the low-carbon operation of the system.