Genetic Optimization Techniques for Sizing and Management of Modern Power Systems 1st Edition Juan Miguel Lujano Rojas

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems – Ebook Instant Download/Delivery ISBN(s): 9780128238899,0128238895

Product details:

• ISBN-10 ‏ : ‎ 0128238895
• ISBN-13 ‏ : ‎ 978-0128238899
• Author(s): Juan Miguel Lujano Rojas, Rodolfo Dufo Lopez, Jose Antonio Dominguez Navarro

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy.

• Presents a range of essential techniques for using genetic algorithms in power system analysis, including economic dispatch, forecasting, and optimal power fl ow, among other topics.
• Addresses relevant optimization problems, such as neural network training and clustering analysis, using genetic algorithms.

Table contents:

1. Introduction to Optimization techniques for sizing and management of integrated power systems

1.1. A General Overview of This Book

1.2. This Book and Its Target Audience

2. Genetic Algorithms and Other Heuristic Techniques in power systems optimization

2.1. General Perspective and State-of-the-Art of Genetic Algorithms

2.1.1 Mono-Objective Optimization

2.1.2. Multi-Objective Optimization

2.2. General Perspective and State-of-the-Art of Parallel Genetic Algorithms

2.3. Other Heuristic Techniques and Their Combination with Genetic Algorithms

3. Estimation of Natural Resources for Renewable Energy Systems

3.1. State-of-the-Art of Renewable Resource Databases

3.2. Estimating the Typical Meteorological Year of Wind Speed

3.3. Estimating the Typical Meteorological Year of Solar Irradiation

3.4. Estimating the Typical Meteorological Year of Ambient Temperature

4. Renewable Generation and Energy Storage Systems

4.1. State-of-the-Art of Renewable Generation Model and Battery Energy Storage Devices

4.2. Simulation Models of Wind Generation

4.3. Simulation Models of Solar Photovoltaic Generation

4.4. Battery Energy Storage System

4.4.1. Simulation Models of Lead-Acid Batteries

4.4.2. Simulation Models of Vanadium Redox Flow Batteries

4.4.3. Simulation Models of Lithium-Ion Batteries

4.5. Distribution System Model

4.5.1. Deterministic Power Flow Calculation

4.5.2. Probabilistic Power Flow Calculation

5. Forecasting of Electricity Prices, Demand, and Renewable Resources

5.1. State-of-the-Art of Time Series based Forecasting for Renewable Energy Systems

5.2. Electricity Price Forecasting

5.3. Electricity Demand Forecasting

5.4. Forecasting of Environmental Variables

6. Optimization of Renewable Energy Systems by Genetic Algorithms

6.1. Maximum Power Point Tracking of a Photovoltaic Generator

6.2. Rural Electrification and Vulnerability Assessment and Its Mitigation

6.3. Vulnerability Assessment of Energy Systems and Its Mitigation

6.3.1 Mono-Objective Optimization (Net Present Cost)

6.3.2. Multi-Objective Optimization (Greenhouse Gas Emissions)

6.4. Day-Ahead Battery Energy Storage System Operation

6.5. Integration of Distributed Photovoltaic Generation

6.6. Local Electricity Markets

6.7. Residential Demand Response under Real-Time Pricing

6.8. Electric Vehicle Charging Station

7. Creating Energy Systems Policy using genetic optimization techniques

7.1. State-of-the-Art of Computational Tools for Energy System Analysis

7.2. Large-Scale Electrification in Developing Countries

7.3. Massive Integration of Distributed generation in Developed Countries

People also search:

genetic algorithm in optimization techniques

traditional optimization and search techniques in genetic algorithm

what is genetic algorithm optimization

what is genetic optimization

genetic optimization matlab

genetic algorithm optimization techniques