Nature inspired optimization for electrical power system. (2020)

• Record Type: Book
• Further Information: Note: Manjaree Pandit, Hari Mohan Dubey, Jagdish Chand Bansal, editors.
• Other Names: Pandit, Manjaree; Dubey, Hari Mohan; Bansal, Jagdish Chand
• Contents: Intro -- Preface -- Synopsis -- Contents -- About the Editors -- 1 Teaching-Learning-Based Optimization for Static and Dynamic Load Dispatch -- 1 Introduction -- 2 Problem Statement -- 3 Teaching-Learning-Based Optimization -- 4 Description of Problems and Simulation Results -- 5 Conclusion -- References -- 2 Application of Elitist Teacher-Learner-Based Optimization Algorithm for Congestion Management -- 1 Introduction -- 2 Problem Formulation -- 2.1 Equality Constraints -- 2.2 Inequality Constraints -- 2.3 Fitness Function -- 3 Frame of Elitist Teacher-Learner-Based Optimization (ETLBO) 3.1 Teacher Phase -- 3.2 Learner Phase -- 3.3 Elitism -- 4 Elitist TLBO for Congestion Management -- 4.1 About Test Systems -- 4.2 Line Outage Contingency: Case I -- 4.3 Sudden Increment in Demand with Single Line Outage: Case II -- 4.4 Abrupt Line Power Limits Variation: Case III and IV -- 4.5 Generation Rescheduling for CM -- 4.6 ETLBO for Solution of CM Problem: Mathematical Procedure -- 5 Numerical Results and Analysis -- 5.1 Convergence Analysis of ETLBO -- 6 Conclusions -- References -- 3 PSO-Based Optimization of Levelized Cost of Energy for Hybrid Renewable Energy System -- 1 Introduction 2 Problem Formulation -- 3 Optimization of LCOE -- 3.1 Power Generation Equality/Inequality Constraint -- 4 Results and Discussion -- 4.1 Test Case Description -- 4.2 Optimization of LCOE -- 4.3 Effect of Capacity Factor on Optimal Value of LCOE -- 4.4 Convergence Characteristics of the Solver -- 4.5 Validation of Results Using Particle Swarm Optimization -- 5 Conclusion -- References -- 4 PSO-Based PID Controller Designing for LFC of Single Area Electrical Power Network -- 1 Introduction -- 2 Problem Formulation -- 2.1 System Description -- 2.2 A Brief Introduction of PID Controller 2.3 Objective Function Formulation -- 3 Employed Optimization Techniques -- 3.1 GA -- 3.2 PSO -- 4 Results and Discussions -- 4.1 Case 1: Objective Function-IAE -- 4.2 Case 2: Objective Function-ISE -- 4.3 Case 3: Objective Function-ITAE -- 4.4 Case 4: Objective Function-ITSE -- 5 Conclusion -- References -- 5 Combined Economic Emission Dispatch of Hybrid Thermal PV System Using Artificial Bee Colony Optimization -- 1 Introduction -- 2 Problem Formulation -- 2.1 Objective Function -- 2.2 Equality Constraint -- 2.3 Inequality Constraint -- 3 Artificial Bee Colony Optimization 4 Results and Discussion -- 4.1 Description of Test Cases -- 4.2 Simulation Results -- 5 Conclusion -- References -- 6 Dynamic Scheduling of Energy Resources in Microgrid Using Grey Wolf Optimization -- 1 Introduction -- 2 Problem Formulation -- 2.1 Inequality Constraints -- 2.2 Equality Constraints -- 3 Grey Wolf Optimization -- 4 Results and Discussion -- 4.1 Description of Test Cases -- 4.2 Simulation Results -- 5 Conclusion -- References -- 7 Mixed-Integer Differential Evolution Algorithm for Optimal Static/Dynamic Scheduling of a Microgrid with Mixed Generation -- 1 Introduction
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 006.38; Nature-inspired algorithms; Mathematical optimization; Mathematical optimization; Nature-inspired algorithms; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811540042; 9811540047
• Related ISBNs: 9811540039; 9789811540035
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.