Electric Power ›› 2022, Vol. 55 ›› Issue (7): 59-66,73.DOI: 10.11930/j.issn.1004-9649.202102074

• Power System • Previous Articles     Next Articles

A Voltage Sag Prevention Index Based on Virtual Upper and Lower Limit Tolerance Curve

LV Jinbing1, YANG Guochao2, FAN Xingguan3   

  1. 1. State Grid Tianjin Electric Power Company Electric Power Research Institute, Tianjin 300384, China;
    2. Chengdong Power Supply Branch of State Grid Tianjin Electric Power Company, Tianjin 300250, China;
    3. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2021-02-23 Revised:2022-04-03 Online:2022-07-28 Published:2022-07-20
  • Supported by:
    This work is supported by Science & Technology Projects of State Grid Tianjin Electric Power Company (Research on User-Friendly Power Supply Service Technology for High-End Manufacturing, No.KJ20-1-11) and National Key Research & Development Program of China (Key Technologies of Power Internet of Things, No.2020YFB0905905).

Abstract: Based on the uncertainty of equipment sensitivity to voltage sags, a voltage sag prevention index is proposed for the virtual upper and lower limit curve with single tolerance characteristic. Firstly, the virtual upper and lower limit curves are described according to the uncertainty of the equipment’s tolerance characteristics, and on this basis, a voltage sag severity evaluation model is established based on the virtual upper and lower limit curves to visually present the sag’s impact on the equipment. And then, with consideration of user mitigation expectation threshold, a compensation cost function and an economic benefit based profit function are established, and the voltage sag prevention index is defined. Finally, the effectiveness and rationality of the proposed method is verified through a case study. The proposed method can be used for voltage sag evaluation and governance of actual power systems.

Key words: voltage sag, virtual upper and lower limit curve, severity evaluation, user mitigation expectation, prevention index