Advanced Control and Optimization Paradigms for Energy System Operation and Management 1st Edition by River Publishers 1000791726 9781000791723

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

Case I: (Example with the six-unit system)

Case II: (Example to compare the execution time)

Case III:

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

4.3 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

4.6 Conclusion

Future plan

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

5.3.4 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

6.3 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

6.4.2 Numerical Results and Discussion

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

7.5.2 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

8.5 Solution Approach

8.5.1 HHOA for DRER Placement and Location The main objective is to find the ideal location and size for a large number of DRERs while minimizing the network’s power losses and improving voltage profiles. Herein, the inequality constraints are translated into Penalty

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