In this practical work, a synthetic smart grid design is implemented by using Matlab. The specific focus is on the way the smart grid design problem has been turned into an optimization problem. Cost function is defined and minimized by the help of Global Optimization Toolbox, specifically, by the help of Genetic Algorithm within Matlab.
The Smart Grid represents an unprecedented opportunity to move the energy industry into a new era of reliability, availability, and efficiency that will contribute to our economic and environmental health. During the transition period, it will be critical to carry out testing, technology improvements, consumer education, development of standards and regulations, and information sharing between projects to ensure that the benefits we envision from the Smart Grid become a reality.
Contents
1 Introduction
1.1 Smart Grid
1.2 Smart Grid Design with MATLAB
2 Selected Location and Load Profile
3 Renewable Energy Resources
3.1 The Wind Resource
3.2 The Solar GHI Resource
4 Component Selection and Pricing
4.1 Photovoltaic Panel
4.2 WindTurbine
4.3 Battery
4.4 Generator
5 Smart Grid Design
6 Optimization of Smart Grid
6.1 Optimization Algorithm
7 Optimization Results
8 Case Study Analysis
8.1 Energy Generated by Diesel Generator
8.2 CO2 Emissions
8.3 State of Charge
8.3.1 Curtail of Energy
8.4 Renewable Energy from PV panels
9 Conclusion
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X. -
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Téléchargez vos propres textes! Gagnez de l'argent et un iPhone X.