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Titlebook: Advances in Control Techniques for Smart Grid Applications; Sajal Kumar Das,Md. Rabiul Islam,Wei Xu Book 2022 The Editor(s) (if applicable

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發(fā)表于 2025-3-26 23:27:52 | 只看該作者
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發(fā)表于 2025-3-27 02:46:01 | 只看該作者
Sajal Kumar Das,Md. Rabiul Islam,Wei XuIntroduces the complete collection of the modeling of smart grid and integration challenges of renewable energy sources.Analyzes the factors that hamper the normal operation of the smart grid.Presents
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發(fā)表于 2025-3-27 08:04:37 | 只看該作者
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978-981-16-9858-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-27 21:10:33 | 只看該作者
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Towards a Conclusion: Towards a New Look,, for the photovoltaic (PV)-integrated multi-source microgrid, the load frequency control (LFC) problem is investigated. A learning-based frequency control strategy is developed including thermal controller, hydro controller, and auxiliary power controller when the power mismatches occur. The propor
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發(fā)表于 2025-3-28 05:56:13 | 只看該作者
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發(fā)表于 2025-3-28 09:40:11 | 只看該作者
https://doi.org/10.1057/9780230289673tionally powered by non-renewable sources. The growing environmental awareness and improved technology have led to the increased penetration of renewable sources into the grid. However, the intermittent nature of renewable sources reduces the overall reliability of the RAPS system. This chapter aims
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發(fā)表于 2025-3-28 11:36:37 | 只看該作者
Peter Miller,Liisa Kurunm?ki,Ted O’Learyata mining and parametric analysis techniques to detect voltage events, however, they are computationally burdensome. In this chapter, a symbolic aggregate approximation (SAX)-based data mining tool is developed that can not only detect and classify voltage events accurately but also with considerab
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