Electric Power ›› 2015, Vol. 48 ›› Issue (12): 96-102.DOI: 10.11930/j.issn.1004-9649.2015.12.96.6

• Power System • Previous Articles     Next Articles

Real-Time Evaluation for Load Capability of Active Distribution Network

ZHU Jing1, GAO Yajing1, 2, LIU Jianpeng1, CHENG Huaxin1, LIANG Haifeng1, LI Peng1   

  1. 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;
    2. State Key Laboratory of Power System, Tsinghua University, Beijing 100084, China
  • Received:2015-05-25 Online:2015-12-30 Published:2015-12-18
  • Supported by:
    This work is supported by National High Technology Research and Development of China 863 Program(No.2015AA050104); State Key Labcratory of Tsinghua University Power System (No; SKLD14KM02)

Abstract: This paper proposes a real-time evaluation method for power supply capacity of active distribution network with distributed generation (DG) based on the uncertainty of DG output and the cyclical change characteristics of power grid load. The method considers the situation with the access of various types of DG in distribution network and obtains the future load and DG output through prediction. The optimization model is established using the maximum load that can be supplied by distribution network as objective function and the safe operation requirements of the system as constraint conditions. Not only can a real-time evaluation of power supply capacity and power supply margin of distribution network be provided for a period of time in the future, but also can a series of power supply bottlenecks that restrict power supply capacity be given. The findings allow dispatchers to take corresponding measures in advance according to the evaluation results to ensure the safety and reliability of power grid operation. Additionally bottlenecks discovered can be reformed to explore the potential power supply capacity.

Key words: distributed generation, active distribution network, power supply capacity, real-time evaluation, power supply bottleneck

CLC Number: