• 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 ›› 2023, Vol. 44 ›› Issue (6): 70-78.doi: 10.12204/j.issn.1000-7229.2023.06.008

• Smart Grid • Previous Articles     Next Articles

Reliability Analysis of Security and Stability Control Systems Based on Evidence Theory

LI Shenghu1(), ZHOU Huimin1(), YAN Yunsong2(), HAN Wei3(), REN Jianfeng2(), XIAO Chao3()   

  1. 1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
    2. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China
    3. State Grid Henan Electric Power Research Institute, Zhengzhou 450052, China
  • Received:2022-06-30 Online:2023-06-01 Published:2023-05-25
  • Supported by:
    Science and Technology Project of State Grid Corporation of China(52170221000U)

Abstract:

Security and stability control systems (SSCSs) are the second type of defense system for power grids. Their controllable power demonstrates their capability of maintaining frequency stability. However, control path station availability and controllable power fluctuations increase the difficulty of assessing the controllable power of SSCSs. In this study, a controllable capacity uncertainty analysis method for SSCS is proposed. Based on the fluctuation characteristics of the controllable capacity at the executive station (EX), a basic reliability allocation model of the EX is established using evidence theory. A station control probability model is established by improving the probability-weighted adjacency matrix, and the basic confidence assignment of EX is modified. By considering the correlation between the station control capacity and the control path, a joint credibility allocation model for the controllable capacity of SSCSs is derived. The likelihood cumulative probability distribution (LCPD) and belief cumulative probability distribution (BCPD) of controllable capacity are defined. Numerical results show that the proposed model quantifies the preservation ability of the SSCS against a power shortage. The effectiveness of the proposed method is verified by comparing it with a traditional probabilistic method.

Key words: security and stability control system (SSCS), uncertainty controllable capacity, evidence theory, controllable probability of station, likelihood cumulative probability distribution (LCPD), belief cumulative probability distribution (BCPD)

CLC Number: