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Design of Grid-Connected Battery Storage Wave Energy and PV Hybrid Renewable Power Generation

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Computational Intelligence in Machine Learning (ICCIML 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1106))

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Abstract

This study investigates how the penetration of many embedded generators affects the behavior of the distribution system. To study various embedded generation (EG) sources, a distribution feeder was designed for this purpose. In order to adequately examine the effects of ocean, SOFC FUEL CELL, and solar plants on system protection, several scenarios with high load and generation fluctuation were simulated. Unsymmetrical faults were also taken into consideration. Utilizing the MATLAB Simulink programme, all modeling and simulations were completed.

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Correspondence to M. Lakshmi Swarupa .

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Sunanda, S., Lakshmi Swarupa, M. (2024). Design of Grid-Connected Battery Storage Wave Energy and PV Hybrid Renewable Power Generation. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_8

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