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author:

Liu, Y. (Liu, Y..) [1] | Feng, D. (Feng, D..) [2] | Lin, C. (Lin, C..) [3] | Zhang, Y. (Zhang, Y..) [4]

Indexed by:

Scopus PKU CSCD

Abstract:

The comprehensive assessment of power quality is essential for the implementation of effective power quality control and reasonable pricing in the power market environment. According to the characteristics of evaluation index, evaluation weight and evaluation model, this paper classifies and summarizes the research status of power quality comprehensive evaluation. On this basis, it summarizes the problems in existing methods including it cannot adapt to different application requirements, has not been evaluated long-term scales, has not considered the governance costs and economic benefits of the evaluation results comprehensively, and has less consideration of the integration of transient steady-state indicators. Finally, this paper points out that the evaluation method considering economic benefits, the comprehensive evaluation under DG grid-connected conditions, the data-driven power quality assessment and the comprehensive evaluation of energy internet power quality are the future research directions in this field. © 2020, Power System Protection and Control Press. All right reserved.

Keyword:

Development trend; Evaluation model; Power quality comprehensive assessment; Research status

Community:

  • [ 1 ] [Liu, Y.]Global Energy Interconnection Research Institute Co., Ltd., Beijing, 102209, China
  • [ 2 ] [Feng, D.]Global Energy Interconnection Research Institute Co., Ltd., Beijing, 102209, China
  • [ 3 ] [Lin, C.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Zhang, Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

Power System Protection and Control

ISSN: 1674-3415

Year: 2020

Issue: 4

Volume: 48

Page: 167-176

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 39

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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