Journal of Electrical Power & Energy Systems

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Article http://dx.doi.org/10.26855/jepes.2022.12.003

Optimization Strategy of Multi-agent Integrated Energy System in Campus Considering Thermal and Electrical Demand Response

Run Wang

School of Electrical Engineering, Shenyang University of Technology, Shenyang, Liaoning 110000, China.

*Corresponding author: Run Wang

Published: January 14,2023

Abstract

The integrated energy system of industrial park is composed of multiple micro-grid subjects. When there is energy interaction between subjects, the interest interaction between subjects brings challenges to the operation of the integrated energy system of industrial park. Aiming at the multi-agent integrated energy system with energy sharing, in order to improve the energy supply economy of each agent, this paper studies an optimization strategy of the integrated energy system in the park considering the thermal and electrical demand response. Firstly, this paper takes the subjects composed of different equipment as the research object, and introduces the utility theory to build the demand response models of heat, electricity and gas based on the dynamic electricity and gas prices and the fuzzy degree of human body to temperature. In order to minimize the cost of the comprehensive energy system in the park, a distributed optimization strategy based on demand response and alternate direction multiplier method was proposed to realize the energy sharing among all the subjects in the park and improve the energy supply economy of the comprehensive energy system. Finally, an example is given to verify the effectiveness of the proposed model and method.

References

[1] Jia Hongjie, Wang Dan, Xu Xiandong, et al. Research on some Problems of regional integrated energy system [J]. Automation of Electric Power Systems, 2015, 39(7):198-207.

[2] Jia Hongjie, Mu Yunfei, Yu Xiaodan. Consideration on the development of integrated energy system in China [J]. Electric Power Construction, 2015, 36(1):16-25.

[3] Wen Min, Liu Yuquan, Hu Xiao, et al. Planning and evaluation of Integrated energy system with distributed power supply equipment [J]. Electrical Measurement and Instrumentation, 2018, 55(21):68-74.

[4] Wang Weiliang, Wang Dan, Jia Hongjie, et al. A review on Steady State analysis of typical regional Integrated energy Systems under the background of energy Internet [J]. Proceedings of the CSEE, 2016, 36(12):3292-3306.

[5] Peng Ke, Zhang Cong, Xu Bingyin, et al. Current situation and prospect of multi-energy collaborative integrated energy system demonstration project [J]. Electric Power Automation Equipment, 2017, 37(6): 3-10.

[6] Jiang Shibai, Yang Lina, Liu Quan, Yang Liu. Research on Comprehensive Energy Optimization of Energy Interconnection Campus Considering Flexible Load [J]. Electrical Measurement and Instrumentation, 2020, 57(16):83-88.

[7] Li Yuan, Yang Xiu, Ling Zi, et al. Study on multi-energy flow coupling operation considering seasonal load characteristics in regional integrated energy system [J]. Electrical Measurement and Instrumentation, 2017, 55(22):78-86.

[8] Wang Shouxiang, Wu Zhijia, Zhuang Jian. Optimization Scheduling model of Multi-microgrid with combined power supply based on cold, heat and electricity considering power interaction and microsource output coordination [J]. Proceedings of the CSEE, 2017, 37(24):7185-7194+7432.

[9] Shuai Xuanyue, WANG Xiuli, Wu Xiong, Peng Qiao, ZHANG Li-kai, HUANG Yi-Jun. Cooperative Optimal Scheduling of Multi-Micro Networks based on cooperative Game considering conditional VAR [J/OL]. Power grid technology:1-10.

[10] Li Peng, WU Difan, Li Yuwei, Liu Haitao, Wang Nan, Zhou Xichao. Optimal Scheduling Strategy for Multi-micro grid inte-grated energy System Based on Integrated Demand Response and master-slave game [J]. Proceedings of the CSEE, 2021, 41(04):1307-1321+1538.

[11] Yang Nan, Huang Yu, Dong Bang-tian, XIN Pei-zhe, LIU Song-kai, YE Di, LI Hong-sheng. Research on Joint planning method of electric and natural gas integrated energy System based on multi-agent game [J]. Proceedings of the CSEE, 2019, 39(22):6521-6533.

[12] Li Hong-Zhong, WANG Lei, Lin Dong, ZHANG Xue-ying. A Nash game model of multi-agent participation in renewable energy consumption and its transfer reinforcement learning solution [J]. Proceedings of the CSEE, 2019, 39(14):4135-4150.

[13] Jiang Shuyuan, Yu Lingling, Jiang Qingfang. Separable commodity utility function and demand analysis [J]. Mathematical Practice and Understanding, 2018, 48(18):12-20.

[14] Mohajeryami S, Moghaddam I N, Doostan M, et al. A noveleconomic model for price-based demand response [J]. Electric Power Systems Research, 2016, 135:1-9.

[15] Zhang C, Xu Y, Dong Z Y, et al. Robust coordination of distributed generation and price-based demand response in microgrids [J]. IEEE Transactions on Smart Grid, 2018, 9(5): 4236-4247.

How to cite this paper

Optimization Strategy of Multi-agent Integrated Energy System in Campus Considering Thermal and Electrical Demand Response

How to cite this paper: Run Wang. (2022) Optimization Strategy of Multi-agent Integrated Energy System in Campus Considering Thermal and Electrical Demand Response. Journal of Electrical Power & Energy Systems6(1), 85-94.

DOI: http://dx.doi.org/10.26855/jepes.2022.12.003