Reliability Analysis of SEIG-ELC System Using Markov Modelling

One of the main power producing devices in the nation's remote locations is the self-excited induction generator. An electronic load controller (ELC) is used to regulate voltage and frequency when the load is perturbed while operating in an isolated mode. Changing environmental conditions have an impact on the SEIG-ELC system's ability to store extra generated power in a dump load during a power outage. To analyze reliability of the isolated system, this work presents three-component Markov modelling, which consists of an induction generator, a voltage sensor, and IGBT switches under both normal and adverse weather conditions.

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Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961452
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.21
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Reliability Analysis of SEIG-ELC System Using Markov Modelling

Rajen Pudur, Shalini Sinha
1 citations
Optimal Power Flow Distribution
0.21
article

Reliability Analysis of SEIG-ELC System Using Markov Modelling

Rajen Pudur, Shalini Sinha
article en
1 citations

Abstract

One of the main power producing devices in the nation's remote locations is the self-excited induction generator. An electronic load controller (ELC) is used to regulate voltage and frequency when the load is perturbed while operating in an isolated mode. Changing environmental conditions have an impact on the SEIG-ELC system's ability to store extra generated power in a dump load during a power outage. To analyze reliability of the isolated system, this work presents three-component Markov modelling, which consists of an induction generator, a voltage sensor, and IGBT switches under both normal and adverse weather conditions.

National Institute of Technology Arunachal Pradesh (IN)
Openalex Percentile: Top 43%
Optimal Power Flow Distribution
0.21
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