Advanced Control and Optimization Paradigms for Energy System Operation and Management

Advanced Control and Optimization Paradigms for Energy System Operation and Management /

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 intermitte...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Other Authors: Pal, Kirti, Tripathi, S. (Saurabh Mani), 1984-, Pandey, Shruti
Format: Electronic eBook
Language:English
Published: Alsbjergvej, Denamrk : River Publishers, 2023
Series:River Publishers series in energy management
Subjects:
Distributed resources (Electric utilities)
Renewable energy sources.
Local Note:ProQuest Ebook Central
Table of Contents:
  • 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

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