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- Published Year: 2020
- Page count: 138
- File Size: 4 MB
- Language: English
- Published by: Springer
- Visited by: 162
- Rating/Review: 3.8
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ISBN:
9811540039
9789811540035
Keywords:
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Nature Inspired Optimization for Electrical Power System (Algorithms for Intelligent Systems)
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Introduction to Nature Inspired Optimization for Electrical Power System
The rising complexity and ever-increasing demands for reliability and efficiency in the modern electrical power system have led to the search for innovative solutions in system optimization. The book "Nature Inspired Optimization for Electrical Power System" delves into the fascinating world of nature-inspired algorithms and their application in optimizing electrical power systems. Edited by Manjaree Pandit, Hari Mohan Dubey, and Jagdish Chand Bansal, this book combines theoretical insights with practical applications, making it an indispensable resource for researchers, practitioners, and students.
Detailed Summary of the Book
This book is part of the "Algorithms for Intelligent Systems" series and is tailored to address the challenges faced by electrical engineers in enhancing power system performance. The editors have meticulously compiled research and studies, casting a spotlight on various nature-inspired optimization techniques such as Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony, and others.
These bio-inspired algorithms are particularly appealing due to their adaptability, efficiency, and relatively simple computational implementation. Throughout the chapters, the book systematically explores how these techniques can be employed to solve complex power system problems, such as load forecasting, unit commitment, and economic dispatch. The book not only covers the fundamentals of these algorithms but also presents case studies and real-world applications, illustrating the efficacy and adaptability of these methods.
Key Takeaways
- Comprehensive coverage of various nature-inspired optimization algorithms and their functionality.
- Insights into the application of bio-inspired algorithms in real-world power system scenarios.
- A harmonious blend of theoretical foundations and practical case studies.
- Lucid explanation of algorithms with a focus on ease of implementation for researchers and practitioners.
- Innovative solutions addressing the current and future challenges in electrical power systems.
Famous Quotes from the Book
"The successful implementation of nature-inspired algorithms in power systems not only signifies technological advancement but heralds a new paradigm of efficiency and sustainability."
"Just as nature finds the most efficient paths through evolution and adaptation, so too can our power systems evolve with the help of these ingenious algorithms."
Why This Book Matters
"Nature Inspired Optimization for Electrical Power System" stands out as a pivotal resource in the engineering and scientific community for several reasons. It marks a significant step towards the future of electrical power systems engineering by harnessing the power of naturally occurring processes. At a time when energy efficiency and sustainability are of paramount importance, the book provides the necessary tools and knowledge to innovate and transform traditional systems.
The collaborative work of eminent editors ensures a well-rounded and authoritative treatise that caters to both academia and industry. Additionally, with its easy-to-understand language and illustrative examples, it democratizes access to advanced optimization techniques, empowering readers to become leaders in their fields.
Ultimately, this book encapsulates the interplay of nature and technology, fostering groundbreaking advancements in electric power systems, and paving the way for a sustainable future.
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