• 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 ›› 2019, Vol. 40 ›› Issue (8): 77-83.doi: 10.3969/j.issn.1000-7229.2019.08.010

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Research on Vehicle-Storage-Heat Joint Dispatching Strategy for Wind Power Consumption

ZHOU Siyu1,LIU Chenggang2, GE Yangyang3,ZHAO Qingsong3,LI Qionghui4,WANG Caixia4,LONG Hongyu1   

  1. 1. College of Engineering and Technology,Southwest University,Chongqing 400715,China;2.Inner Mongolia Electric Power Science and Research Institute, Hohhot 010020, China;3. Electric Power Research Institute,State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006,China;4. State Grid Energy Research Institute Co., Ltd., Beijing 102209,China
  • Online:2019-08-01
  • Supported by:
    This work is supported by Fundamental Research Funds for the Central Universities (No. XDJK2015A006).

Abstract: Good demand-side management can effectively cope with the uncertainty of wind power and improve the wind power consumption. However, the traditional demand-side management mechanism is limited by the single element of participation, which seriously affects the efficiency of resource utilization. Therefore, this paper proposes a vehicle-storage-heat joint dispatching strategy for wind power consumption. Firstly, this paper establishes the non-uniform characteristic model of demand-side user heat load, and regards the differential heat load as virtual heat storage. Secondly, according to the energy storage characteristics of electric vehicle, the electric vehicle charging and discharging model is established. Subsequently, comprehensive considering the users disturbance cost and battery depreciation cost, a scheduling strategy with target of the largest wind power consumption is established. Finally, the case analysis is carried out on GAMS software, and compared with the scheduling strategy without considering the participation of electric vehicles. The results show that through the proposed method of the coordinated scheduling of electric vehicles, heat pumps and thermoelectric unit, the wind power consumption is increased by 25.42%, and the input-output ratio decreased by 10.3%.

Key words: demand-side management, vehicle-storage-heat, non-uniformity, electric vehicle, wind power consumption

CLC Number: