Multi-Objective Optimal Design of Integrated Energy System for Park-Level Microgrid

作者：Zhou, Canhuang; Zheng, Jiehui^*; Jing, Zhaoxia; Wu, Qinghua; Zhou, Xiaoxin

来源：Power System Technology, 2018, 42(6): 1687-1696.

DOI：10.13335/j.1000-3673.pst.2018.0280

• Evidential reasoning
• Integrated energy systems
• Micro grid
• Particle swarm algorithm
• Two stage optimizations

Considering that integrated energy system (IES) for park-level microgrid has various energy resources and energy conversion equipment to be chosen, and environmental and energy-saving benefits of energy supply system are highly valued by people today, this paper proposed a multi-objective optimal method for optimizing design of integrated energy system for park-level microgrid. Firstly, a basic IES architecture was established. Then the system was optimized with a two-stage optimization method with the objective of minimization of annual total cost, annual pollutant emission and annual energy consumption. Finally, optimal system configuration scheme was selected using evidential reasoning approach. Simulation results indicated that the IES designed with the proposed method obviously performs better than separation production system and traditional energy system with operation strategy following thermal load in economy, environment and energy. Although the traditional energy system with operation strategy following electricity load had better performance than the IES in environment and energy, its economic benefit was far lower than that of IES. Thus, comprehensive benefit of the IES designed with the proposed method was the highest among the four systems. Results also showed that utilization of local solar energy can effectively improve IES comprehensive benefit. Moreover, the way of the IES connecting to the grid had great influence on system performance.

• 出版日期2018-6-5
• 单位华南理工大学