• 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 ›› 2018, Vol. 39 ›› Issue (11): 10-19.doi: 10.3969/j.issn.1000-7229.2018.11.002

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Reliability Assessment of Coupled Electricity-heat Energy System  Considering Multi-type Integrated Demand Response

DONG Xiaojing1, LIU Hong2, GONG Jianfeng1, SUN Hao2, HAN Yiming1   

  1. 1.State Grid Ningxia Economic and Technological Research Institute, Yinchuan 750011, China;2.Key Laboratory of Smart Grid of Ministry of Education  (Tianjin University), Tianjin 300072, China
  • Online:2018-11-01
  • Supported by:
    This work is supported by Science and Technology Project of State Grid (No. SGNXJY00GHJS1700018).

Abstract: With the continuous growth of various electricity and heat loads in urban power grid, to ensure the system reliability under high loading rate, it is necessary to improve the energy supply reliability of the system through the integrated demand response considering electricity and heat. Therefore, a reliability assessment method for coupled electricity-heat energy system considering multi-type integrated demand response is proposed in this paper. Firstly, the basic structure of the coupled electricity-heat energy system and the boundary conditions are analyzed. Next, the output models and state models of different elements in the coupled electricity-heat energy system are introduced. Then, the integrated electricity-heat demand response models based on electricity price and incentive are established, and the FMEA method and reliability assessment process are presented. Finally, the reliability and economy indexes under different integrated demand response schemes are compared through a case study. The result is helpful for the grid companies to select the optimal integrated demand response scheme, which verifies the effectiveness and practicality of the method proposed in this paper.

Key words: coupled electricity-heat energy system, integrated demand response, time-of-use electricity price, incentive response loads, reliability assessment

CLC Number: