Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Hybrid Renewable Energy System Optimization

Hybrid Renewable Energy System Optimization

Mahdiraji, Ebadollah Amouzad

Paperback

Physics

ISBN10: 6200775354
ISBN13: 9786200775351
Publisher: Justfiction Ed
Published: May 13 2020
Pages: 108
Weight: 0.37
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
To carry out this research in the field of up-to-date articles selected from reputable journals and by investigating different types of optimization methods, genetic algorithm is used for optimization. The genetic algorithm is the most well-known intelligent optimization method and an evolutionary algorithm. We have done an example on a network in Palestine. The optimized parameters include the components and angles of the deviation of the PV and the surface and the type of its installation. Some steps need to be taken into account, including balanced energy for each hour throughout the year, before the start of optimization. Each energy source must be calculated by the mathematical model of each component or component, as well as solar radiation analysis. These are the equivalent circuit parameters of the PV model in both said models including series resistance (SR) and parallel resistance (PR) and ideal diode coefficient. Shall also be calculated and used.

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