Automatic voltage regulator system tuning using swarm intelligence techniques
Advances in System Dynamics and Control, ISSN: 2327-3453, Page: 232-252
2018
- 2Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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- Citations2
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- CrossRef1
Book Chapter Description
The voltage regulator may be used to regulate one or more AC or DC voltages in power systems. Voltage regulator may be designed as a simple "feed-forward" or may include "negative feedback" control loops. It may use an electronic components or electromechanical mechanism on the design. AVR is keeping constant output voltage of the generator in a specified range. The PID controller can used to provide the control requirements. This chapter discusses some modern techniques to get the best possible tuning controller parameters for automatic voltage regulator techniques such as particle swarm optimization, adaptive weight particle swarm optimization, adaptive acceleration coefficients, adaptive acceleration coefficients. Also, it presents a new adjustment modified adaptive acceleration coefficients and a discussion of the results of the all methods used. Simulation for comparison between the proposed methods and the obtained results are promising.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85049446836&origin=inward; http://dx.doi.org/10.4018/978-1-5225-4077-9.ch008; http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4077-9.ch008; https://www.igi-global.com/viewtitle.aspx?TitleId=202733; https://dx.doi.org/10.4018/978-1-5225-4077-9.ch008; https://www.igi-global.com/gateway/chapter/202733
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