Advanced Optimization Techniques for Renewable Energy Linked to Electrical Systems
Published on 3. October 2023
253 pages
979-8-89113-117-0 (ISBN)
Description
Renewable energy is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performances. However, the design and development of renewable energy systems remains a challenge. Advanced optimization techniques play a crucial role in implementing the latest innovative research in the field of renewable energy integrated electrical systems. This book also provides practical challenges encountered and solutions adopted in the fields of renewable energy integrated systems. Applications of varieties of advanced optimization techniques on the design and development of renewable energy integrated systems have been discussed to provide new solutions to the renewable energy domain. Topics such as micro grids, wind power, solar photo voltaic (PV), optimal power flow (OPF), small magnetic energy storage (SMES) device, radial distribution system, hydrothermal scheduling problem, economic-emission load dispatch and advanced optimization techniques are ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
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10/2023
Nova Science Publishers Inc
€210.94
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Content
- Intro
- Contents
- Preface
- Acknowledgments
- Chapter 1
- Comparative Performance Evaluation of FACTS Device LFC for Multi Source System
- Abstract
- Introduction
- Two-Area Multiple System Described by a Static Model and Mathematical Analysis for an Unregulated Environment
- Multiple Source System with Two Interrelated Applications of SMES
- Objective Function
- Mathematical Problem Formulation
- Algorithm
- Krill Herd Algorithm
- Foraging Behavior
- Random Diffusion
- Position Update
- Genetic Operators
- Crossover
- Mutation
- Chaotic Oppositional Krill Herd Algorithm (COKH)
- Opposition-Based Population Initialization
- Computational Strategy for Initialization of Opposition Based Population
- Opposition-Based Jumping
- Computational Procedure for Opposition-Based Generation Jumping
- COKH Algorithm Applied to LFC of Multisource Problem with Facts
- Simulation Results and Discussion
- Case 1: Unilateral Transaction
- Case 2: Bilateral Transaction
- Case 3: Contract Violation
- Application of RLP Type of Load
- Conclusion
- Appendix A: The Gas Turbine Power Plant Modelling
- References
- Chapter 2
- Optimization with Artificial Intelligence Techniques
- Abstract
- Introduction
- Different Optimization Techniques
- Underfitting
- Overfitting
- Mathematical Optimization and Optimization with AI Techniques
- Single-Objective Optimization (SOO) and Multi-Objective Optimization (MOO)
- Single Objective Optimization (SOO)
- Multi Objective Optimization (MOO)
- Scalarization Method
- Pareto Method
- Evolution Based Algorithms
- Population Based Swarm Intelligence
- Physics Based Algorithms
- Human Behaviour Based Algorithms
- Description of Some Well-Known Metaheuristic Algorithms
- Genetic Algorithm
- Biogeography Based Optimizer (BBO)
- Differential Evolution (DE) Algorithm
- Discussion
- Particle Swarm Optimization (PSO)
- Discussion
- Firefly Algorithm (FA)
- Discussion
- Artificial Bee Colony (ABC)
- Discussion
- Ant Colony Optimization (ACO)
- Cuckoo Search (CS)
- Discussion
- Grey Wolf Optimizer (GWO)
- Hunting Equations
- Krill Herd Optimization
- Physics-Based Algorithms
- Harmonics Search Algorithm (HSA)
- Big Bang-Big Crunch (BB-BC)
- Discussion
- Gravitational Search Algorithm (GSA)
- Human Behaviour Based Algorithms
- Tabu Search (TS)
- Discussion
- Teaching Learning Based Optimization (TLBO)
- Optimization in Fuzzy Based Systems
- Conclusion
- References
- Chapter 3
- Chaotic Quasi Oppositional Chemical Reaction Optimization for Transient Stability Constraint Optimal Power Flow
- Abstract
- Introduction
- Mathematical Problem Formulation
- Objective Function
- Transient Stability Assessment
- Constraints
- Equality Constraints
- Inequality Constraints
- Generator Constraint
- Load Bus Constraints
- Transmission Line Constraints
- Transformer Tap Constraints
- Shunt Compensator Constraints
- Optimization Technique
- Chemical Reaction Optimization-Inspiration
- Mathematical Modelling of CRO
- On-Wall Ineffective Collision
- Decomposition
- Inter-Molecular Ineffective Collision
- Synthesis Collision
- Quasi-Oppositional Based Learning
- Opposite Number
- Opposite Point
- Quasi-Opposite Number
- Quasi-Opposite Point
- Chaotic CRO
- Chaotic Maps
- Simulation Results and Discussions
- Input Parameters
- Test System-I (WSCC 3-Machine 9-Bus System)
- Case I: Base Load Condition (OPF without Transient Stability Constraint)
- Case II: OPF with Transient Stability Constraint (Three Phase to Ground Fault at Bus 7)
- Test System-II (The New England 10-Machine 39-Bus)
- Case I: Base Load Condition (OPF without Transient Stability Constraint)
- Case II: OPF with Transient Stability Constraint (Three Phase to Ground Fault at Bus 29)
- Conclusion
- References
- Chapter 4
- Quasi Oppositional Moth Flame Optimization for Cost Minimization of Radial Distribution Systems
- Abstract
- Introduction
- Mathematical Problem Formulation
- Minimization of Total Cost
- Constraints
- Moth Flame Optimization
- Quasi-Oppositional Based Learning
- Opposite Number
- Opposite Point
- Quasi-Opposite Number
- Quasi-Opposite Point
- QOMFO applied to Cost Minimization Problem
- Simulation Results and Discussion
- Minimization of Energy Cost
- 22 Bus System
- 69 Bus System
- Conclusion
- References
- Chapter 5
- Opposition-Based African Vulture Optimization Algorithm Implemented for the Economic Load Dispatch in Thermal Power Plants Incorporated with Renewable Sources
- Abstract
- Introduction
- Economic Dispatch Model
- Thermal Power Plant Fuel Cost
- Wind Plant Cost
- Wind Power Probability
- Objective Function
- Constraints
- Equality Constraints
- Inequality Constraints
- Oppositional African Vultures Optimization Algorithm (OAVOA)
- African Vultures Optimization Algorithm (AVOA)
- Phase One
- Phase Two
- Phase 3: Exploration
- Phase 4: Exploitation
- First Phase
- Seize Fight Strategy
- Rotating Flight Strategy
- Second Phase
- Oppositional Approach
- Simulation Results and Comparisons
- Case Study 1
- Case Study 2
- Case Study 3
- Conclusion
- References
- Chapter 6
- A Short Overview of Engineering Optimization
- Abstract
- Introduction
- Types of Optimizations
- Single Objective Optimization
- Multi-Objective Optimization
- Constraints
- Types of Constraints
- Control of Constraints
- Penalty
- Method Based on the Feasibility of the Solutions
- Solution Approaches
- Exacts Methods
- Heuristic Methods
- Meta-Heuristic Methods
- Single-Solution Meta-Heuristic
- Meta-Heuristic to a Population of Solutions
- Optimization Algorithms
- Grey Wolf Optimizer (GWO)
- Particle Swarm Optimization (PSO)
- Ant Colony Optimization (ACO)
- Evolutionary Algorithms (EA)
- Genetic Algorithms (GAs)
- Differential Evolution (DE)
- Conclusion
- References
- Chapter 7
- PV Wind Battery Optimal Sizing in Hybrid Power Systems Using Hybrid Horse-Herd Particle Swarm Optimization
- Abstract
- Introduction
- Literature Review
- PV, Wind Turbine, and Grid Modelling
- PV Modelling
- Modelling of Wind Turbine
- Battery System Modelling
- Grid System Modelling
- Statement of Problem
- Hybrid Horse Herd Particle Swarm Optimization
- Feeding (A)
- Order (B)
- Relational (C)
- Emulation (E)
- Protective Factor (D)
- Optimal Wandering (F)
- Simulation Results and Discussion
- Conclusion
- References
- Chapter 8
- The Planning of EV Charging Stations in Distribution Networks
- Abstract
- Introduction
- Problem Formulation
- Objective Function Formulation
- Constraints
- DG Constraints
- DG Position
- Constraints of DG Capacity
- Optimization Tool
- Mutualism Phase
- Commensalism Phase
- Parasitism Phase
- Results and Discussions
- DG and EVCS Allocation in Case-I Without Area Division
- DG and EVCS Allocation in Case-II with Area Division
- Conclusion
- Acknowledgment
- Appendix
- References
- Chapter 9
- Multi-Objective Hydrothermal Scheduling Using Chaotic Based Whale Optimization Algorithm
- Abstract
- Introduction
- Contribution of the Proposed Work
- Problem Formulation
- Objective Functions
- Constraints
- Equality Constraints
- Water Dynamic Balance of the Hydro-Reservoir Unit
- Water Discharge Continuity Representation of Hydro Generator
- Inequality Constraints
- Operating Limits of the Generators
- Optimization Technique (WOA)
- Chaotic Based Learning
- Chaotic Based Whale Optimization Algorithm (CWOA)
- CWOA Steps For HTS Problem
- Test System: 4 Hydro, 3 Thermal Scheduling
- Test Case 1
- Test Case 2
- Test Case 3
- Conclusion
- References
- Chapter 10
- A Renewable Energy Integrated Dynamic Economic Emission Load Dispatch Using a Chaos Assisted Backtracking Search Algorithm
- Abstract
- Introduction
- Sequencing and Formulating the Problem
- Mathematical Modelling of Wind Power Generation
- Expression of Wind-Power Cost Function
- Mathematical Modelling of DTWEED
- BSA
- Initialization
- Selection - I
- Mutation
- Crossover
- Selection - II
- Application of Chaos on BSA
- Solution of DTWEED problem Using CBSA
- Observation from Various Cases and Its Dynamics
- Case Study-I
- Case Study-II
- Case Study -III
- Conclusion
- References
- Index
- About the Editors
- Blank Page
