برای استفاده از امکانات سیستم، گزینه جاوا اسکریپت در مرورگر شما باید فعال باشد
صفحه
از
0
Optimization of power system problems : methods, algorithms and MATLAB codes
اطلاعات کتابشناختی
Optimization of power system problems : methods, algorithms and MATLAB codes
پدیدآور اصلی :
ناشر :
Springer,
سال انتشار :
2020
موضوع ها :
Electric power systems. Mathematical optimization.
شماره راهنما :
TK 1001 .O69 2020
جستجو در محتوا
ترتيب
شماره صفحه
امتياز صفحه
فهرست مطالب
Introduction
(6)
Motivation
(6)
A Brief Overview of the Book Covered Topics
(6)
The Book Organization
(6)
Contents
(11)
Modelling for Composite Load Model Including Participation of Static and Dynamic Load
(13)
1 Introduction
(14)
2 Classification of Load Model
(15)
2.1 Connected Load
(16)
2.2 Demand Load
(16)
2.3 Base Load
(16)
2.4 Peak Load
(17)
2.5 Average Load
(17)
3 Structure of Loads Model
(17)
3.1 Structure for Static Load Model
(19)
3.2 Structure of Dynamic Load
(24)
3.3 Structure of Aggregate Load
(38)
4 Modelling for Composite Load Model
(42)
4.1 Development of Mathematical Model for Static Load
(44)
4.2 Development of Mathematical Model for Dynamic Load
(46)
5 Conclusion
(57)
References
(59)
A Novel Forward-Backward Sweep Based Optimal DG Placement Approach in Radial Distribution Systems
(61)
1 Motivation and Literature Review
(62)
2 Optimal DG allocation problem
(65)
2.1 FBS power flow
(65)
2.2 Total active power loss, bus voltage limit, and feeder current capacity
(66)
3 Proposed Algorithm and Illustrative Example
(67)
4 Conclusions
(72)
References
(72)
Optimal Capacitor Placement in Distribution Systems Using a Backward-Forward Sweep Based Load Flow Method
(74)
1 Introduction
(75)
2 Mathematical modeling of load flow based optimization problem
(77)
2.1 Forward-backward load flow
(77)
2.2 Optimal places for installation of capacitor banks
(78)
3 Illustrative Example
(79)
4 Conclusions
(84)
References
(84)
Optimal Capacitor Placement and Sizing in Distribution Networks
(86)
1 Introduction
(87)
2 Reactive Power Compensation
(88)
2.1 Benefit of Reactive Power Compensation
(88)
2.2 Disadvantages of Reactive Power Compensation
(90)
3 Literature Review
(91)
3.1 Analytical Approaches
(91)
3.2 Numerical Computation Algorithms
(92)
3.3 Artificial Intelligent Algorithms
(93)
4 Problem Formulation
(93)
4.1 Objective Function
(93)
4.2 Constraints
(94)
5 Modeling and Optimization Algorithm
(94)
5.1 Teaching and Learning Based Optimization Algorithm
(94)
5.2 Matching TLBO with Capacitor Placement Problem
(97)
5.3 Load Model
(97)
6 Numerical Results
(98)
6.1 Test Cases
(98)
6.2 10-Bus Test Case
(99)
6.3 33-Bus Test Case
(99)
7 Conclusion
(102)
MATLAB Code
(103)
References
(110)
Binary Group Search Optimization for Distribution Network Reconfiguration
(113)
1 Literature Review
(114)
2 Group Search Optimization Algorithm (GSO)
(114)
2.1 Basics of GSO
(115)
2.2 Binary Group Search Optimization (BGSO)
(117)
3 Problem Formulation
(124)
4 Developed Source Code
(127)
5 Test Results
(131)
5.1 69-Node System
(131)
5.2 119-Node System
(131)
6 Conclusion
(132)
MATLAB Code
(134)
References
(135)
Combined Heat and Power Economic Dispatch Using Particle Swarm Optimization
(137)
1 Introduction
(138)
2 Background
(139)
3 Problem Formulation
(139)
3.1 Objective Function
(139)
3.2 Constraints
(140)
3.3 Particle Swarm Optimization
(141)
4 Simulation, Results and Discussion
(142)
5 Conclusion
(142)
MATLAB Codes
(146)
References
(151)
Combined Heat and Power Stochastic Dynamic Economic Dispatch Using Particle Swarm Optimization Considering Load and Wind Power Uncertainties
(152)
1 Introduction
(154)
2 Background
(154)
3 Uncertainty Modeling
(155)
3.1 Scenario Generation
(155)
3.2 Scenario Reduction
(157)
4 Stochastic Dynamic Economic Dispatch
(158)
4.1 Objective Function
(158)
4.2 Constraints
(159)
4.3 Wind Turbine Formulation
(160)
4.4 Particle Swarm Optimization
(160)
5 Simulation, Results, and Discussion
(161)
6 Conclusions
(164)
MATLAB Codes
(165)
References
(177)
Economic Dispatch of Multiple-Chiller Plants Using Wild Goats Algorithm
(179)
1 Motivation and Literature Review
(180)
2 Problem Formulation
(181)
2.1 Economic Dispatch of Multiple-Chiller Systems
(181)
2.2 Proposed Optimization Algorithm
(182)
3 Case Studies and Discussions
(183)
4 Conclusion
(190)
MATLAB Codes
(191)
References
(201)
Optimization of Tilt Angle for Intercepting Maximum Solar Radiation for Power Generation
(203)
1 Introduction
(203)
2 Methodology
(204)
2.1 Optimum Tilt Angle Determination
(204)
3 Results and Discussion
(206)
4 Conclusions
(206)
MATLAB Code
(218)
References
(220)
Probabilistic Power Flow Analysis of Distribution Systems Using Monte Carlo Simulations
(222)
1 Introduction
(223)
2 Problem Formulation
(225)
2.1 Forward-Backward Sweep Algorithm
(225)
2.2 Monte Carlo Simulations
(226)
3 Proposed Approach and Case Study
(227)
4 Conclusion
(230)
MATLAB Code
(231)
References
(238)
Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network
(240)
1 Introduction
(241)
2 Problem Formulation
(243)
2.1 Artificial Neural Network (ANN)
(243)
2.2 Dynamic Artificial Neural Network (DANN)
(245)
2.3 Back Propagation Technique (BP)
(245)
2.4 Levenberg Marquardt Algorithm (LM)
(248)
2.5 Bayesian Regularization (BR)
(249)
2.6 Scaled Conjugated Gradient (SCG)
(250)
3 Numerical Result and Discussions
(251)
3.1 Resiliency of Hybrid Proposed Strategy
(251)
3.2 Robustness and Scalability
(252)
4 Conclusion
(257)
MATLAB Code
(258)
References
(262)
Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study
(265)
1 Introduction
(266)
2 Problem Description
(267)
2.1 Equalities and Inequalities Constraints
(268)
3 Multi-objective Optimization Algorithm
(269)
3.1 The Imperialist Competitive Algorithm
(270)
3.2 The MOICA
(271)
3.3 Selecting the Best Compromise Solution
(273)
4 The Numeric Results
(273)
4.1 Initialization of Algorithm
(274)
4.2 The Simulation Results
(274)
5 Conclusion
(276)
MATLAB Codes
(279)
References
(316)
Voltage Control by Optimized Participation of Reactive Power Compensation Using Fixed Capacitor and STATCOM
(318)
1 Role of Reactive Power Compensation
(319)
2 Introduction to Reactive Power Compensators
(321)
2.1 Introduction to Reactive Power Market
(322)
2.2 Selection of Dynamic and Static Compensator
(324)
3 Reactive Power Compensation Cost Analysis
(326)
3.1 Reactive Power as an Ancillary Service
(326)
3.2 Pricing Options in Reactive Power Compensation
(327)
3.3 Synchronous Generator as Reactive Power Service Provider
(328)
3.4 Fixed Capacitor as Reactive Power Service Provider
(330)
3.5 STATCOM as Reactive Power Service Provider
(331)
4 Reactive Power Compensation Scheme in Ihes
(332)
5 Simulink Model Representation for IHES
(334)
5.1 Modelling for Reactive Power Balance in IHES
(335)
5.2 Synchronous Generator Model Equations
(336)
5.3 Induction Generator Model Equations
(337)
5.4 Fixed Capacitor Model Equations
(339)
5.5 STATCOM Model Equations
(340)
6 Importance of Dynamic Compensator for Voltage Control
(351)
7 Optimization of Reactive Power Participation
(352)
8 Conclusion and Future Scope
(364)
References
(366)
Backward-Forward Sweep Based Power Flow Algorithm in Distribution Systems
(369)
1 Introduction
(370)
2 Forward-Backward Sweep Power Flow
(371)
3 Case Study and Discussions
(372)
4 Conclusion
(373)
MATLAB Code
(378)
References
(385)
