基于纳什谈判的家用热水器的优化运行

doi:10.3969/j.issn.0255-8297.2018.06.011

Journal of Applied Sciences ›› 2018, Vol. 36 ›› Issue (6): 987-995.doi: 10.3969/j.issn.0255-8297.2018.06.011

• Computer Science and Application • Previous Articles Next Articles

Optimal Operation of Household Water Heater Based on Nash Bargaining

CHI Zhong-jun¹, WAN Qing-zhu², CHEN Ya-lan², SUN Jian¹, GU Jun¹, ZHANG Miao¹, WANG Xin³

1. State Grid Beijing Electric Power Company, Beijing 100075, China;
2. Institute of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China;
3. State Grid Maintenance Company of Shanxi Electric Power Corporation, Taiyuan 030006, China

Received:2016-12-05 Revised:2017-01-12 Online:2018-12-31 Published:2018-12-31

Abstract

Abstract: Demand response is an embodiment of the smart grid flexible interactivity. It has a broad application prospect in energy saving, peak clipping and valley flling. Household water heater in demand response has a great potential of optimal operation. However, in the demand response process of water heater, the weight between electricity cost and water temperature is difcult to determine. This paper proposes a household water heater optimization method based on the Nash bargaining. The water temperature and the electricity cost are considered as the two sides of game theory. The Nash equilibrium solution, which determines the water heater operation plan, is obtained by using Nash bargaining. Simulations show that the proposed method can effectively optimize the running of water heater and keep the balance between electricity cost and water temperature at the same time.

Key words: Nash bargaining, Nash equilibrium solution, water heater, demand response, game theory

CLC Number:

TM762

CHI Zhong-jun, WAN Qing-zhu, CHEN Ya-lan, SUN Jian, GU Jun, ZHANG Miao, WANG Xin. Optimal Operation of Household Water Heater Based on Nash Bargaining[J]. Journal of Applied Sciences, 2018, 36(6): 987-995.

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Optimal Operation of Household Water Heater Based on Nash Bargaining

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