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یک الگوریتم بهینه سازی جدید برای تولید برقی قابل اعتماد مبتنی بر انرژی باد، خورشید و سلول سوختی
خیامیم، تارا Khayyamim, Tara
Cataloging brief
یک الگوریتم بهینه سازی جدید برای تولید برقی قابل اعتماد مبتنی بر انرژی باد، خورشید و سلول سوختی
پدیدآور اصلی :
خیامیم، تارا Khayyamim, Tara
ناشر :
صنعتی شریف
سال انتشار :
1393
موضوع ها :
انرژی خورشیدی Solar Energy انرژی باد Wind Energy الگوریتم ژنتیک Genetic Algorithm پیل...
شماره راهنما :
55-46957
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Chapter 1:
(11)
Introduction and Literature Review
(11)
1.1. Introduction to Renewable Energy Resources
(12)
1.1.1. Solar Power
(15)
1.1.2. Wind Power
(17)
1.2. Hybridization
(21)
1.2.1. Integration Schemes
(21)
1.2.1.1. DC-Coupled Systems
(22)
1.2.1.2. AC-Coupled Systems
(23)
1.2.1.3. Hybrid-Coupled Systems
(24)
1.2.2. Unit Sizing and Technology Selection
(25)
1.2.3. Storage
(26)
1.2.4. Control and Manage Energy
(29)
1.2.4.1. Centralized Control Model
(30)
1.2.4.2. Distributed Control Model
(31)
1.2.4.3. Hybrid Centralized and Distributed Control Model
(32)
1.3. Sample Applications
(34)
1.3.1. Stand-alone Hybrid Generation combining Solar photovoltaic/Wind turbine and Fuel cell System
(34)
1.3.2. Regional integration of renewable energy systems - The role of hybrid energy systems for small communities
(36)
1.3.3. Economic evaluation of hybrid renewable energy systems for rural electrification in Iran— a case study
(39)
1.4. Conclusion
(41)
Chapter 2:
(42)
Modeling Renewable Energy Resources
(42)
2.1. PV model
(43)
2.1.1. Parameters
(43)
2.1.2. Interfaces
(44)
2.1.3. Formulation
(44)
2.2. Wind Turbine Model
(45)
2.2.1. Parameters
(45)
2.2.2. Interfaces
(45)
2.2.3. Formulation
(45)
2.3. Fuel Cell Model
(47)
2.3.1. Parameters
(47)
2.3.2. Formulation
(48)
2.3.3. Dynamics of the cell
(50)
2.4. Numerical Example
(51)
2.4.1. PV
(51)
2.4.2. WT
(52)
2.4.3. FC Example
(53)
2.5. Conclusion
(55)
Chapter 3:
(56)
Optimization Method
(56)
3.1. Introduction
(57)
3.2. Genetic Algorithm (GA)
(58)
3.3. Typical Genetic Algorithm (29)
(60)
3.3.1. Initialization
(61)
3.3.2. Fitness Evaluation
(61)
3.3.3. Selection
(61)
3.3.3.1. Roulette wheel selection
(61)
3.3.3.2. Tournament selection
(62)
3.3.4. Crossover
(62)
3.3.4.1. Single-point crossover
(62)
3.3.4.2. Multiple-point crossover
(62)
3.3.5. Mutation
(63)
3.4. My Algorithm
(64)
3.4.1. Initialization
(65)
3.4.2. Diversity Control
(65)
3.4.3. Scaling
(66)
3.4.4. Selection
(66)
3.4.5. Death
(66)
3.4.6. Fitness Evaluation
(66)
3.4.7. Elitism
(66)
3.4.8. Random Search
(67)
3.4.9. Trim GA
(67)
3.1.
(67)
3.5. Proposed Algorithm
(68)
3.6. Fuel Cell Parameters Optimization
(69)
Chapter 4:
(73)
Scenarios and Optimization Results
(73)
4.1. Economic analysis
(74)
4.1.1. Formulation
(75)
4.1.2. PV Costs
(76)
4.1.3. WT Costs
(76)
4.1.4. FC Costs
(78)
4.2. Scenario 1
(80)
4.2.1. Solar
(80)
4.2.2. Wind
(82)
4.2.3. Solar and Wind
(85)
4.2.4. Solar, Wind and Fuel Cell
(90)
4.3. Scenario 2
(92)
4.4. Scenario 3
(100)
4.5. Conclusion and Future Work
(106)
References
(108)
