Operation Optimization of Integrated Energy System From the Perspective of Sustainable Development

Abstract

It is of great significance to promote energy revolution in China due to the serious carbon emission problem. The IES (Integrated Energy System), based on an optimized scheduling of multi-energy, such as electricity and gas, heat and cold, could break through the limitations of technical, market and management constraints in traditional energy system. But, how to operate an integrated energy system in a cleaner way and take the economic issues into consideration is always a hot research topic at home and abroad. This paper presents a new optimization scheduling method, which takes the environment and economy into consideration, and the operation results under different scenarios are compared and analyzed based on Min-Max Scaling method. The optimization algorithm is developed in MATLAB and the solver is MILP (Mixed Integer Linear Programming). A case analysis based on the real-data in this paper shows that the joint optimization method can achieve a balanced decision-making results by taking environmental protection and economic objectives into account. Besides, it makes the operation strategy of each equipment unit in IES more scientific and reasonable.

Keywords

• Integrated energy system
• operation optimization
• multiple targets
• MILP