Performance analysis of self-excited induction generator (seig) with elc for the wind energy system

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Abstract

Self-excited induction generator (SEIG) model is mathematically formulated and examined to see its effect on a small-scale wind plant. This type of small-scale wind generating unit is utilized for remote areas which are far from the grid and provide electricity to the distant people. In today’s scenario, small electric generation close to customer’s site has expected to demand additional carefulness for usage in remote and rural utilities owing to the financial issues and complexity involved in the grid expansion. Hence, proper standalone schemes using nearby accessible power resources is an optimum possibility for providing adequate generating capacity. It has been done by utilizing green technologies used as alternative energy resources, for instance, wind, small hydro, geothermal, solar, etc. A single-plug setup of such generators is acquainted in such a way that generators speed, line voltage, line current stays in limit with different loading conditions. The Electronic Load Controller (ELC) is mathematically developed to control the performance of SEIG with consideration of different loading conditions. The proposed model consisting of SEIG with ELC is developed in MATLAB environment with the use of Simulink and Sim Power System (SPS) tools. Different parameters such as voltage, current and power characteristics are represented for different loading conditions, and the achieved output clarifies the suitability of SEIG with ELC in small-scale wind energy systems. The achieved outputs also help in determining insulation strength, suitability, shaft strength, selection of rating of capacitors, and designing the protection strategy for the SEIG.

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Chaurasia, R., Viral, R., Asija, D., & Bahar, T. (2021). Performance analysis of self-excited induction generator (seig) with elc for the wind energy system. In Lecture Notes in Electrical Engineering (Vol. 661, pp. 219–236). Springer. https://doi.org/10.1007/978-981-15-4692-1_17

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