product iamge

Advanced Control & Optimization Paradigms for Energy System Operation and Management

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Download
Search on Amazon

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Distributed energy technologies are gaining popularity nowadays; however, due to the highly intermittent characteristics of distributed energy resources, a larger penetration of these resources into the distribution grid network becomes of major concern. The main issue is to cope with the intermittent nature of the renewable sources alongside the requirements for power quality and system stability. Unlike traditional power systems, the control and optimization of complex energy systems comprising of wind, solar, thermal, and energy storage becomes difficult in many aspects, such as modelling, integration, operation, coordination and planning etc. This means that energy conversion as per the standards imposed by the energy market is unachievable without adequate control, management, and optimization.

This edited book serves as a resource for the engineers, scientists and professionals working on distributed energy systems. The book is an extensive collection of state-of-the-art studies on advanced control paradigms for complex energy systems, with emphasis on the optimization and management of the high penetration of distributed energy resources into power distribution networks. Readers will find the book inspiring and useful whilst carrying out their own research in distributed energy systems.

Key features • An extensive collection of state-of-the-art studies on advanced control paradigms for complex energy systems.• Emphasis on the optimization and management of high penetration of distributed energy resources into power/energy distribution networks.• Serves as a valuable resource for engineers, scientists, academicians, experienced professionals, and research scholars who are working in management of energy systems.

Author(s): Kirti Pal, Saurabh Mani Tripathi, Shruti Pandey
Series: River Publishers Series in Energy Management
Publisher: River Publishers
Year: 2023

Language: English
Pages: 247
City: Gistrup

Front Cover
Advanced Control and Optimization Paradigms for Energy System Operation and Management
Contents
Preface
Acknowledgments
List of Figures
List of Tables
List of Contributors
List of Reviewers
List of Abbreviations
1 A Distributed Framework of Real-Time Available Transfer Capability Assessment in Modern Multi-Area Power Grids
1.1 Introduction
1.2 Problem Formulation
1.3 Distributed Algorithms for ATC Estimation
1.3.1 Overview
1.3.2 Predictor-Corrector Proximal Multiplier Method (PCPM)
1.3.3 Auxiliary Problem Principle Method (APPM)
1.3.4 Alternative Direction Multiplier Method (ADMM)
1.4 Distributed Framework of Real-Time ATC Estimation
1.4.1 The Framework of the Distribution System
1.4.2 System Partition
1.4.3 Computational Algorithm
1.5 Simulation Results
1.5.1 IEEE 14-Bus Test System
1.5.2 IEEE 57-Bus Test System
1.5.3 IEEE 118-Bus Test System
1.6 Conclusion
References
2 Hybrid Harmony Search and Modified Harmony Search Optimizations Performance in Economical Load Dispatch
2.1 Introduction
2.2 Equality and Inequality Constraints
2.2.1 Actual Operation Constraints of Generator
2.2.2 Inequality Constraints
2.3 Generalized Harmony Search Algorithms
2.4 Details of Modified Harmony Search Optimization with Flowchart
2.5 Hybrid Harmony Search Technique (HHS)
2.6 Hybrid Harmony Search and Modified Harmony Search Optimization Results
2.7 Conclusion
References
3 Techno-Economic Assessment and Choice of Battery for Hybrid Energy using HOMER Software
3.1 Introduction
3.2 Battery Energy Storage Systems (BESS)
3.3 Introduction to HOMER Pro Software
3.4 Procedure
3.4.1 Solar Photovoltaic System
3.4.2 Wind Turbine
3.4.3 Battery Energy Storage System
3.4.4 Diesel Generator
3.5 Modelling of the HRES with Different kinds of Batteries
3.6 System Metrics
3.6.1 Economic Metrics
3.6.2 Technical Performance of the Overall System
3.6.3 Contribution of Solar PV
3.6.4 Contribution of Wind Turbine and Diesel Generator
3.6.5 Technical Specification of Different Batteries Used in HRES
3.7 State of Charge of Battery
3.8 Emissions through a Different System with Different Batteries
3.9 Conclusions
References
4 Economic Load Dispatch Using Hybrid Crisscross Optimization
4.1 Introduction
4.2 Problem Formulation
4.2.1 Economic Load Dispatch
4.2.2 System Constraints
4.2.2.1 Power balance constraints
4.2.2.2 Generator capacity constraints
4.3 Constraint Handling
4.4 Proposed Method
4.4.1 Crisscross Optimization
4.4.2 Hybridization of CSO with Local Search Method
4.5 Result and Discussion
4.5.1 Benchmark Function
4.5.2 Economic Load Dispatch Problem
4.5.2.1 Problem 1: Three generator problem
4.5.2.2 Problem 2: Six generator problem
4.5.2.3 Problem 3: Thirteen generator problem
4.5.2.4 Problem 4: Forty generator problem
4.6 Conclusion
References
5 Shunt Reactive Compensations for Distribution Network Optimization
5.1 Introduction
5.2 Reactive Compensating Devices (RCDs)
5.2.1 Fixed Capacitor
5.2.2 Static Var Compensator
5.2.3 DSTATCOM
5.3 Mathematical Problem Formulations
5.3.1 Objective Functions
5.3.2 Multi-Objective Optimization
5.3.3 System Constraints
5.3.4 Optimization Algorithm
5.3.5 Load Flow Solution
5.4 Single-Objective Optimization of RCD Units
5.5 Multiobjective Optimization of RCDs
5.6 Comparisons Using Different Algorithms
5.7 Conclusions
References
6 A Novel Brown-bear Optimization Algorithm for Solving Economic Dispatch Problem
6.1 Introduction
6.2 Brown-bear Optimization Algorithm
6.2.1 Inspirational Background
6.2.2 Proposed BOA with Mathematical Model
6.2.2.1 Group formation
6.2.2.2 Pedal scent marking behavior
6.2.2.3 Sniffing behavior
6.3 Performance Evaluation of BOA on Standard Test Functions
6.3.1 Evaluation on Benchmark Test Functions
6.3.2 Evaluation on CEC Test functions
6.4 Application of Proposed Algorithm to Solve EDP
6.4.1 EDP Formulation
6.4.1.1 Objective function
6.4.1.2 Constraints
6.4.1.3 Constraint handling technique
6.4.2 Numerical Results and Discussion
6.4.2.1 Case 1: Six generator system
6.4.2.2 Case 2: Fifteen generator system
6.5 Conclusion
References
7 Analysis of Shunt Active Filter Performance under Different Supply and Loading Conditions
7.1 Introduction
7.2 The Apq-SRF Control Technique
7.3 Modelling of the Apq-SRF Technique
7.4 The Shunt Active Filter Configuration with Apq-SRF Control
7.5 Simulation Results
7.5.1 Pure Supply Conditions
7.5.1.1 Fixed loading conditions
7.5.1.2 Transient conditions
7.5.2 Unbalanced and Distorted Supply Conditions
7.6 Hardware Results
7.6.1 Before Compensation
7.6.2 After Compensation
7.7 Conclusions
References
8 Harris’ Hawks Optimization Algorithm for Sizing and Allocation of Renewable Energy Based Distributed Generators
8.1 Introduction
8.2 Inspiration and Contributions
8.3 Formulation of the Problem
8.4 The Proposed HHOA
8.4.1 HHOA: Features
8.4.2 Exploration Phase
8.4.3 Exploitation Phase
8.4.3.1 Soft besiegement
8.4.3.2 Hard besiegement
8.4.3.3 Soft besiege along with rapid drives
8.4.3.4 Rapid drives and a hard besiegement
8.5 Solution Approach
8.5.1 HHOA for DRER Placement and Location
8.5.2 HHOA Computational Practice for DRER Values and Location
8.6 Results And Discussions
8.6.1 Case I
8.6.2 Case II
8.7 Conclusions
Acknowledgements
References
Index
About the Editors
Back Cover