Buch, Englisch, 90 Seiten, Format (B × H): 144 mm x 224 mm, Gewicht: 246 g
Buch, Englisch, 90 Seiten, Format (B × H): 144 mm x 224 mm, Gewicht: 246 g
Reihe: Intelligent Signal Processing and Data Analysis
ISBN: 978-1-138-59816-4
Verlag: Taylor & Francis Ltd
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.
Key Features:
Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms
Provides some applied applications/examples of the thermal power system
Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems
Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
CHAPTER 1: Introduction
Load Frequency control and Automatic Generation Control
Bio-inspired Optimization Algorithms
Literature Survey
CHAPTER 2: Load Frequency Control of Single Area Thermal Power System with Biogeography Based Optimization Technique
2.1 Investigated Thermal Power System
2.2 Controller Design and objective function
2.3 Biogeography Based Optimization technique
2.4 Results and Analysis
2.5 Conclusion
CHAPTER 3: Automatic Generation Control of Multi-Area Interconnected Thermal Power System with SMES Unit and ACO- PID Controller
3.1 Thermal power system under study
3.2 Superconducting Magnetic Energy Storage (SMES) unit
3.3 PID controller design
3.4 Ant Colony Optimization
3.5 Simulation Results and Discussions
3.6 Conclusion
CHAPTER 4: FPA Optimized PID Controller for Performance Improvement of Multi-Area Interconnected Thermal Power System with Non-Linearities
4.1 Investigated multi-area interconnected power system
4.2 Controller design and Objective function
4.3 Flower Pollination Algorithm (FPA)
4.4 Simulation Result and Analysis
4.5 Conclusion
CHAPTER 5: Challenges and future perspectives
