Optimizing Photovoltaic and Battery Energy Storage in Off-Grid System using Genetic Algorithm

Anandha, Rr. Diajeng Alfisyahrinnisa (2024) Optimizing Photovoltaic and Battery Energy Storage in Off-Grid System using Genetic Algorithm. Project Report. [s.n], [s.l.]. (Unpublished)

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Abstract

The system for optimizing PV and BESS capacities in off-grid systems using genetic algorithms is designed to identify the best PV and BESS capacities with minimum expenditure. It also takes into account weather conditions and hourly load sizes. The GA employs roulette wheel selection to maintain diversity within the population and enhance convergence towards the optimal solution. The fitness function includes the capital and operational costs of PV and BESS, as well as penalty costs associated with unmet load demands. Simulation results demonstrate the effectiveness of the proposed method in determining the optimal sizes of PV and BESS that minimize costs while satisfying the energy requirements. The performance of the GA is evaluated using various metrics, including convergence rate, solution quality, and computational efficiency.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Genetic Algorithms, PV, BESS, Optimizing
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Information Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Rr. Diajeng Alfisyahrinnisa Anandha
Date Deposited:	13 Dec 2024 03:48
Last Modified:	13 Dec 2024 03:48
URI:	http://repository.its.ac.id/id/eprint/115955

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