• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (6): 10-16.doi: 10.3969/j.issn.1000-7229.2016.06.002

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New Demand-Side Management Pattern for Energy Internet

LIU Daoxin1, GUO Wanzhu2, WANG Shicheng1, ZENG Ming1,3   

  1. 1.School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. State Grid Jibei Electric Power Company Qinhuangdao Electric Power Company, Qinhuangdao 066000, Hebei Province, China;3. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
  • Online:2016-06-01
  • Supported by:

    Project support by Fundamental Research Funds for the Central Universities(2015QN01)

Abstract:

 At present, the energy Internet has become the main development direction of power system in our country. The construction of the energy Internet will change the energy utilization status and the management pattern. In the perspective of demand side management, this paper studies the new control strategy under energy Internet. Traditional demand side management controls parts of the load by related protocol based on the interaction between the grid and the users. The development of energy Internet makes the information interaction between users more important and frequently. At the same time, the access of various generation forms of energy makes the demand side management more important. This paper proposes a new demand side management method for energy Internet, which uses the user-side sound communications infrastructure to add the power control module in the intelligent measurement equipment for each user. Through the game theory in this module, each user makes his energy plan according to those of other users which make his payment minimum, so as to obtain all the user's energy consumption plans, and realize the minimum peak-average ratio of system operation and power generation cost under the overall energy consumption plan. At last, the example simulation results prove the validity of the load management mode.

Key words: energy Internet, energy plan control, game theory, the minimum peak-average ratio

CLC Number: