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E-raamat: Bio-Inspired Algorithms in PID Controller Optimization

, (Department of Electrical and Electronics Engineering, Pavai Engineering College, Namakkal, Tamilnadu, India), (Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology Coimbatore, Tamilnadu),
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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 controllers parameters
Preface vii
Book Objectives ix
Authors xi
Chapter 1 Introduction
1(10)
1.1 Load Frequency Control And Automatic Generation Control
3(1)
1.2 Bio-Inspired Optimization Algorithms
4(2)
1.3 Literature Survey
6(5)
Chapter 2 Load Frequency Control Of Single Area Thermal Power System With Biogeography-Based Optimization Technique
11(12)
2.1 Investigated Thermal Power System
12(2)
2.2 Controller Design And Objective Function
14(1)
2.3 Biogeography-Based Optimization Technique
15(2)
2.4 Results And Analysis
17(4)
2.4.1 Response Of System With And Without Load Demand
18(1)
2.4.2 System Response With Different Bias Tuned Pid Controller
19(2)
2.5 Conclusion
21(2)
Chapter 3 Automatic Generation Control With Superconducting Magnetic Energy Storage Unit And Ant Colony Optimization-Pid Controller In Multiarea Interconnected Thermal Power System
23(18)
3.1 System Under Study
24(2)
3.2 Superconducting Magnetic Energy Storage (Smes) Unit
26(2)
3.3 Pid Controller Design
28(2)
3.4 Ant Colony Optimization
30(1)
3.5 Simulation Results And Discussion
31(7)
3.6 Conclusion
38(3)
Chapter 4 Flower Pollination Algorithm Optimized Pid Controller For Performance Improvement Of Multiarea Interconnected Thermal Power System With Nonlinearities
41(16)
4.1 System Investigated
42(1)
4.2 Controller Design And Objective Function
43(3)
4.3 Flower Pollination Algorithm (FPA)
46(2)
4.4 Simulation Result And Analysis
48(8)
4.5 Conclusion
56(1)
Chapter 5 Challenges And Future Perspectives
57(2)
References 59(12)
Index 71
Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour