Application of computational techniques in power systems for power quality improvement /
This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book int...
| Main Authors: | , , , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
Chapman & Hall/CRC,
2025.
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| Series: | Knowledge-based engineering for innovation
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analyzing nonlinearities in power plants. The book introduces optimization methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks. Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimization. Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors Discusses the tuning of secondary controllers, including PID controllers, using advanced optimization algorithms Addresses PQ challenges posed by renewable energy integration and energy storage units Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions Provides a structured approach to analysing system behaviour using mathematical modeling and time-domain simulationsThis book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies. |
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| Physical Description: | 1 online resource (122 pages) : illustrations (black and white). |
| ISBN: | 9781040628539 1040628532 9781003661153 1003661157 9781040561478 1040561470 |