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access icon free Wordbook-based light-duty time series learning machine for short-term voltage stability assessment

  • Author(s): Lipeng Zhu 1 1 ; Chao Lu 1 1 ; Yongjun Liu 2 2 ; Wei Wu 2 2 ; Chao Hong 2 2
    • View affiliations
    • Affiliations: 1: State Key Laboratory of Control and Simulation of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, People's Republic of China ;
      2: China Southern Power Grid, Guangzhou, People's Republic of China
  • Source: Volume 11, Issue 18, 21 December 2017, p. 4492 – 4499
    DOI:  10.1049/iet-gtd.2016.2074 , Print ISSN 1751-8687, Online ISSN 1751-8695
© The Institution of Engineering and Technology
Received 21/12/2016, Accepted 19/04/2017, Revised 11/04/2017, Published 24/04/2017

Focusing on high-efficiency sequential feature learning for short-term voltage stability (SVS) assessment, this study develops a light-duty time series (TS) learning machine based on symbolic TS datasets, namely wordbooks. Numerous cumbersome TS acquired from post-contingency synchrophasor measurements are first tactfully transformed into short symbolic words, constituting a compact and light wordbook. By centralising the intra-class words in the wordbook, a series of keywords are quickly extracted without iteration to perform wordbook learning. Owing to the portability of the wordbook, online SVS assessment models can be derived extremely fast from it. With such merits, wordbook learning is designed to be periodically conducted by studying new cases from up-to-minute measurements, resulting in enhanced adaptability to inconstant unknown situations. Fractional affixes that frequently occur in the wordbook are further extracted for pattern discovery of voltage instability. Test results on the realistic Hong Kong power grid illustrate the effectiveness and advantages of the proposed learning machine.

Inspec keywords: phasor measurement; time series; power system stability; learning (artificial intelligence)

Other keywords: wordbook learning; post-contingency synchrophasor measurements; Hong Kong power grid; intra-class words; short symbolic words; symbolic TS datasets; high-efficiency sequential feature learning; short-term voltage stability assessment; wordbook-based light-duty time series learning machine

Subjects: Control of electric power systems; Knowledge engineering techniques; Power system control; Other topics in statistics; Stability in control theory; Other topics in statistics; Power system measurement and metering

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