Electric Power ›› 2022, Vol. 55 ›› Issue (8): 40-50.DOI: 10.11930/j.issn.1004-9649.202109050

• Key Technologies for New Energy Grid-Connected Consumption Under the Dual Carbon Goal • Previous Articles     Next Articles

Fast Positioning of Marginal Hosting Capacity and Optimal Selection of Accommodation Scheme for Distributed PVs

CHEN Can1, BAI Minghui2, ZHANG Wanming2, XI Haikuo2, YIN Zhaolei2, SHAO Yinchi1, WANG Xiaoxiao1, MA Yuan1   

  1. 1. State Grid Jibei Electric Power Research Institute, Beijing 100045, China;
    2. State Grid Jibei Electric Power Co., Ltd.,Chengde Power Supply Company, Chengde 067000, China
  • Received:2021-09-10 Revised:2022-03-20 Published:2022-08-18
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Jibei Electric Power Company ( Research on Rural Distribution System Optimization and Operation with High Penetration of Distributed Generators)

Abstract: With rapid development of distributed photovoltaic(PV), it is becoming of great importance to evaluate PVs’ hosting capacity for the planning and operation of distribution power system. In this paper, a fast calculation method for marginal hosting capacity (MHC) and optimal selection of accommodation scheme for PVs considering different objective functions is proposed. Firstly, the paper mainly takes two important constraints into account, i.e., voltage profile and thermal limits of transmission lines. For each stochastic scenario, the MHC is calculated using dichotomy method, which overcomes the disadvantage of low computation efficiency caused by the linear increase of PVs’ capacity for each simulation scenario. Then, the impacts of PVs’ locations and numbers on MHC are analyzed respectively. Furthermore, in order to achieve the optimal photovoltaic accommodation scheme with comprehensive satisfaction, the daily voltage deviation rate, daily upper voltage security margin, daily power transmission loss as well as hosting capacity are calculated. Finally, the proposed method has been implemented in a real distribution network in Chengde city and its effectiveness is verified.

Key words: distributed PV, hosting capacity, fast calculation, voltage deviation, random scenario simulation