Reinventing the Power Grid Renewable Energy, Storage, and Grid Modernization

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by Ertugrul, Nesimi
English | 2025 | ISBN: 9781032685953 | 611 pages | True PDF EPUB | 94.01 MB

In this comprehensive guide for practicing engineers and students, Ertugrul explains the field of renewable energy and distributed generation technologies and describes the transformation occurring in power grids due to the rise of renewable energy sources and emerging technologies.
This book covers key areas such as the status of grid transformation, photovoltaic (PV) solar energy, wind energy systems, distributed energy resources, microgrids, grid‑scale and domestic battery storage systems, e‑mobility and emerging distributed energy technologies. The text presents an equilibrium between theoretical concepts and practical applications, with each chapter emphasizing both theory and practical application. Each chapter commences with a lucid explanation of the subject matter, which is then succeeded by an investigation into its real‑world applications and implications. Supplementary material is also provided, such as real wind data files, PV data files and Matrix Laboratory (MATLAB®) and Excel codes. This includes a sample real data set from grid‑scale autonomous microgrid test platforms and household, distribution and transmission‑level power system data. The book also incorporates a section consisting of problems, quizzes and solutions. This element prompts the reader to put the theoretical knowledge to use in addressing real‑world challenges, thereby cultivating a more in‑depth grasp of the topic. Through this in‑depth approach, readers will be able to apply their comprehensive knowledge and practical understanding to decision‑making regarding future challenges in the energy industry.
This book is an invaluable guide for professionals working in the field, particularly those who aim to stay updated on the latest technologies and trends. Undergraduate and postgraduate students will also benefit from the book's comprehensive approach and inclusion of real‑world data and problems to solve, which will build their expertise and give them a solid foundation for their future careers.


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