Electric Power ›› 2022, Vol. 55 ›› Issue (3): 115-124.DOI: 10.11930/j.issn.1004-9649.202106022

• Power System • Previous Articles     Next Articles

Grading Assessment of Energy Index Considering Equipment Tolerance Characteristics

FAN Xingguan, XU Yonghai, NIU Chunhao, DENG Siying   

  1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2021-06-18 Revised:2022-01-06 Online:2022-03-28 Published:2022-03-29
  • Supported by:
    This work is supported by Science and 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), National Natural Science Foundation of China (Analytical Modeling of Time-varying Interharmonics in Wind Power Systems, Grid-connected Interaction and Research on Hazardous Areas, No. 51777066) and Natural Science Foundation of Beijing (Research on High Utilization Power Electronic Transformers Integrating Charge and Discharge of Electric Vehicles and High-Quality Power Supply, No. 3172036).

Abstract: Considering the influence of user equipment's voltage tolerance characteristics on the assessment results, a system-side voltage sag grading assessment method is proposed to improve the energy index, which considers the equipment's tolerance characteristics. Firstly, an analysis is made of the comparison benchmark value of the energy index and the insufficient description of the difference in severity of the sag events in the uncertain area; And then, the comparison benchmark value and weight coefficient are constructed based on the voltage tolerance curve, and an improved energy index evaluation model is built to grade the severity of the sag event; Finally, the proposed method is used to analyze 24 voltage sag events occurring at a monitoring node, which have proved the rationality and effectiveness of the proposed method. The proposed method can be used for voltage sag assessment and governance of the actual power systems.

Key words: energy index, tolerance characteristics, comparison benchmark value, uncertainty area, gradation