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We are delighted to announce that Protection and Control of Modern Power Systems has been accepted for inclusion in the Emerging Sources Citation Index (ESCI) database by Clarivate Analytics.

Featured article: A new ensemble-based classifier for IGBT open-circuit fault diagnosis in three-phase PWM converter

Featured Article

Three-phase converter is a core component of the induction motor drive system, consisting of power semiconductors, such as insulated gate bipolar transistor (IGBT), and associated control systems. However, faults in IGBTs can severely affect the operation and safety of the power electronics equipment and loads. Therefore, the reliability of IGBT is crucial for system operation. This paper proposes a diagnosis method based on a data-driven theory. A novel randomized learning technology, namely extreme learning machine (ELM) is adopted into historical data learning. Ensemble classifier structure is employed to improve diagnostic accuracy. Finally, the relationship between diagnostic accuracy and data sampling window is investigated. By this mean, an appropriate time window is achieved to guarantee a high accuracy with relatively short decision time. Compared to other traditional methods, ELM has a better classification performance. Simulation tests validate the proposed ELM ensemble diagnostic performance. Read more.

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Energy System Planning and Operation Under the Coupled Carbon Trading Market and Power Market

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Forecasting and Scheduling Method of Wind and Solar Power Generations 

Microgrid and Distribution system

Demand Side Management and Electric Vehicle Technologies

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Article Collections

Power System Protection and Control Containing Renewable Energy Power Generation

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Energy Storage across Multiple Energy Systems

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Integrating Centralized and Distributed Renewables in Future Power Systems

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Power System Protection and Control

Edited by: Zhiqian Bo, Jinmei Shi, Xinli Jiang

Energy - SpringerOpen

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Check out article highlights and open access journals in Energy here.

Aims and scope

Protection and Control of Modern Power Systems is an international academic journal co-published by Power System Protection and Control Press and Springer. The journal is devoted to presenting new theories, technologies and top-level academic achievements in the field of protection and control in modern power systems. It strives to accelerate the development of the field by serving as a bridge between Chinese and global researchers in the field. In doing so, Protection and Control of Modern Power Systems makes an important contribution to the power industry.

The journal has an international authorship and a broad scope, including contemporary topics such as:

  • power system relay protection
  • power system analysis and control
  • power system planning
  • internet of energy
  • alternative energy generation
  • smart substations
  • intelligent power transmission and utilization techniques
  • interactions between large-scale electric vehicles and power grids
  • microgrid techniques
  • application of power electronics in power systems
  • electric power automation and remote control techniques
  • power system communication
  • power quality
  • electricity market

Affiliated with

Annual Journal Metrics

The journal is indexed by

  • Emerging Sources Citation Index
  • DOAJ
  • INIS Atomindex
  • Google Scholar
  • EBSCO Discovery Service
  • OCLC WorldCat Discovery Service
  • ProQuest-ExLibris Summon
  • ProQuest-ExLibris Primo
  • Institute of Scientific and Technical Information of China
  • Naver
  • Chinese Academy of Sciences (CAS) - GoOA
  • WTI Frankfurt eG
  • CNKI