Integrated Energy Load Priority Scheduling Model Based on Customer Satisfaction

• Published in: IOP conference series. Earth and environmental science Vol. 546; no. 2; pp. 22039 - 22044
• Main Authors: Chen, Ming, Wei, Zhen, An, Shuhuai, Li, Yukai, Xu, Zhengqing
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.07.2020
• Subjects: Algorithms; Customer satisfaction; Economic analysis; Economic models; Electrical loads; Energy; Energy demand; Energy utilization; Heuristic methods; Integrated energy systems; Mathematical models; Optimization; Penalty function; Priority scheduling; Renewable energy; Scheduling; User satisfaction
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/546/2/022039

The integrated energy system is of great significance to improve the efficiency of social energy utilization, promote the large-scale consumption of renewable energy and the cascade utilization of energy. In view of the uncertainty of cooling, heating and electric load demand of users, this paper proposes a load priority supply model for integrated energy service providers, which considers the user satisfaction and the penalty function of energy supply interruption, and is used to deal with the scheduling optimization of various uncertain energy demand and translatable load. The optimal scheduling mathematical model of community integrated energy system is established. The various optimization objectives and the constraints of different energy demand are considered, the heuristic algorithm is used to solve the optimal scheduling, and the economic of operation mode is analyzed. The model can effectively reflect the impact of energy demand, user satisfaction and system cost on the priority of supply load, and provide the optimal decision to weigh the system cost and user satisfaction. The simulation results show the feasibility and effectiveness of the proposed model.