Advanced Optimization Techniques for Renewable Energy Linked to Electrical Systems / Sunanda Hazra [and three others], editors.

Format:

Book

Contributor:

Hazra, Sunanda, editor.

Series:

Electrical engineering developments series.

Electrical Engineering Developments Series

Language:

English

Subjects (All):

Renewable energy sources.

Electrical engineering.

Physical Description:

1 online resource (256 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2023]

Summary:

"Renewable energy is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. 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"-- Provided by publisher.

Contents:

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

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)

Artificial Bee Colony (ABC)

Ant Colony Optimization (ACO)

Cuckoo Search (CS)

Grey Wolf Optimizer (GWO)

Hunting Equations

Krill Herd Optimization

Physics-Based Algorithms

Harmonics Search Algorithm (HSA)

Big Bang-Big Crunch (BB-BC)

Gravitational Search Algorithm (GSA)

Tabu Search (TS)

Teaching Learning Based Optimization (TLBO)

Optimization in Fuzzy Based Systems

Chapter 3

Chaotic Quasi Oppositional Chemical Reaction Optimization for Transient Stability Constraint Optimal Power Flow

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)

Chapter 4

Quasi Oppositional Moth Flame Optimization for Cost Minimization of Radial Distribution Systems

Minimization of Total Cost

Moth Flame Optimization

QOMFO applied to Cost Minimization Problem

Minimization of Energy Cost

22 Bus System

69 Bus System

Chapter 5

Opposition-Based African Vulture Optimization Algorithm Implemented for the Economic Load Dispatch in Thermal Power Plants Incorporated with Renewable Sources

Economic Dispatch Model

Thermal Power Plant Fuel Cost

Wind Plant Cost

Wind Power Probability

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

Chapter 6

A Short Overview of Engineering Optimization

Types of Optimizations

Single Objective Optimization

Multi-Objective Optimization

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

Particle Swarm Optimization (PSO)

Evolutionary Algorithms (EA)

Genetic Algorithms (GAs)

Differential Evolution (DE)

Chapter 7

PV Wind Battery Optimal Sizing in Hybrid Power Systems Using Hybrid Horse-Herd Particle Swarm Optimization

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)

Chapter 8

The Planning of EV Charging Stations in Distribution Networks

Problem Formulation

Objective Function Formulation

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

Acknowledgment

Appendix

Chapter 9

Multi-Objective Hydrothermal Scheduling Using Chaotic Based Whale Optimization Algorithm

Contribution of the Proposed Work

Objective Functions

Water Dynamic Balance of the Hydro-Reservoir Unit

Water Discharge Continuity Representation of Hydro Generator

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

Chapter 10

A Renewable Energy Integrated Dynamic Economic Emission Load Dispatch Using a Chaos Assisted Backtracking Search Algorithm

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

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

Index

About the Editors

Blank Page.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: Hazra, Sunanda Advanced Optimization Techniques for Renewable Energy Linked to Electrical Systems

ISBN:

979-88-911-3117-0