Power Generation Technology ›› 2019, Vol. 40 ›› Issue (5): 440-447.DOI: 10.12096/j.2096-4528.pgt.19081

• Energy Internet • Previous Articles     Next Articles

Evaluation on Load Restoration of Distribution System Based on Distributed Generation in Smart Buildings After Extreme Disasters

Wei FANG(),Bo ZENG*(),Fuqiang XU,Jianhua ZHANG   

  • Received:2019-05-20 Published:2019-10-30 Online:2019-11-05
  • Contact: Bo ZENG
  • Supported by:
    Fundamental Research Funds for the Central Universities(2017MS007)

Abstract:

As an important type of load-side resources, the distributed generation (DG) is widely used in smart buildings to provide new possibilities for rapid power supply recovery and load transfer after extreme disasters. This paper proposed a comprehensive evaluation framework for the smart building load restoration, which is used to quantitatively analyze and calculate the transfer capacity of the DG supply at the end of the smart buildings to the critical load in the distribution system after extreme disaster.On the basis of modeling different types of physical equipment in smart buildings, the multi-energy complementary and energy coupling characteristics were considered. Firstly, three quantitative evaluation indexes including electric power transfer amount, heat transfer amount and cooling transfer amount were proposed. The contribution of smart building power to system load recovery after extreme disasters was accurately quantified. On this basis, the specific calculation method for the above evaluation indicators was further proposed via using the random mixed integer programming method. Finally, taking the load of an industrial park as an example, the validity of the evaluation framework proposed was verified. The simulation results demonstrate that the proposed method can fully explore the energy supply potential of smart buildings with ensuring the normal operation of smart buildings, and effectively improve the reliability of power distribution systems under extreme disasters.

Key words: smart buildings, distributed generation, redundancy support, power grid resilience, energy supply reliability