Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System

Preface
Acknowledgements
Contents
About the Authors
Abbreviations
List of Figures
List of Tables
1 Introduction
	References
2 Small-Signal Stability Modelling of Hybrid Power System
	2.1 Introduction
	2.2 Small-Signal Stability Model of Interconnected Two-Area Power System
	2.3 Wind Power System (WPS)
		2.3.1 Wind Aerodynamic
		2.3.2 Mechanical Coupling Shaft
		2.3.3 Generator Model
	2.4 Solar Photovoltaic (PV) Model
	2.5 Diesel Engine Generator (DEG)
	2.6 Aqua-electrolyzer (AE) and Fuel Cell (FC)
	2.7 Hybrid Wind-Diesel Power System (hy-WD-PS)
	2.8 Modelling of Power System Nonlinearities
		2.8.1 Governor Dead-Band (GDB)
		2.8.2 Generation Rate Constraint (GRC)
		2.8.3 Modelling of Time-Lag Employing Pade Approximation
		2.8.4 Boiler Dynamics (BD)
	2.9 Conclusion
	References
3 Optimization Techniques
	3.1 Introduction
	3.2 Swarm Intelligence Algorithms: A Brief Description and Modelling
		3.2.1 Grey Wolf Optimization (GWO)
		3.2.2 Crow Search Algorithm (CSA)
		3.2.3 Grasshopper Optimization Algorithm (GOA)
		3.2.4 Dragonfly Algorithm (DA)
		3.2.5 Salp Swarm Algorithm (SSA)
		3.2.6 Marine Predators Algorithm (MPA)
	3.3 Hybridization of Algorithms
		3.3.1 Oppositional/quasi-oppositional Based Learning
		3.3.2 Chaotic Mapping
	3.4 Performance Index (Objective Function)
	3.5 Simulation Results
		3.5.1 Optimization Algorithm Applied to Frequency Stability Problem
		3.5.2 Case Study: Frequency Control of Hybrid Wind-Diesel Power System
	3.6 Conclusion
	Appendix: Nominal values of hyWD-PS (Fig. 2.13)
	References
4 Conventional Controllers Applied for Frequency Regulation
	4.1 Introduction
	4.2 Conventional Controllers
		4.2.1 Conventional Controller with Higher-Degree-Of-Freedom
	4.3 Fractional-Order (FO) Controllers
		4.3.1 Tilt-Integral Derivative (TID) Controller
		4.3.2 Multi-loop FO-Controllers
		4.3.3 Simulation Results
	4.4 Sensitivity Analysis
	4.5 State Feedback Control or Pole Placement Approach
	4.6 State Observer
	4.7 Linear Quadratic Regulator (LQR)
		4.7.1 Simulation Results
	4.8 Conclusion
	Appendix: Nominal Values of System Parameters
	References
5 Advanced Controller Applied for Frequency Regulation
	5.1 Introduction
	5.2 Sliding Mode Controller (SMC)
		5.2.1 Simulation Results
		5.2.2 State Observer-Based ISMC
	5.3 Fractional-Order SMC (FO-SMC)
		5.3.1 Mathematical Model of FO-SMC
		5.3.2 Simulation Results
	5.4 Disturbance Observer (DO)-Aided SMC/FOSMC
		5.4.1 Frequency-Domain Modelling of DOB
		5.4.2 Mathematical Model of FO-DOB
		5.4.3 Simulation Results
	5.5 Reduced-Order DOB (RoDOB)
		5.5.1 Simulation Results
	5.6 Conclusion
	Appendix: Nominal Values of System Parameters
	References
6 Intelligent Controller Applied for Frequency Regulation and Robustness Study
	6.1 Introduction
	6.2 Fuzzy-Aided Controller (FLC)
		6.2.1 Fuzzy Logic Approach
		6.2.2 Design of Fuzzy-Aided Conventional Controller
		6.2.3 Simulation Results
	6.3 Robustness Study (Kharitonov’s Stability Test)
		6.3.1 Simulation Results
	6.4 Conclusion
	Appendix: Nominal Values of System Parameters
	References
7 Model Order Reduction of Power Systems and Application of Internal Model Control (IMC)
	7.1 Introduction
	7.2 Model-Order Reduction (MOR)
		7.2.1 Routh Approximation (RA)
		7.2.2 Logarithmic Approximation (LA) and Improved Pade Approximation
		7.2.3 Balanced Truncation Algorithm (BTA)
	7.3 Internal Model Control (IMC)
		7.3.1 Simulation Results
	7.4 Conclusion
	Appendix: Nominal Values of System Parameters Fig. 7.2
	References