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Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis

Ahmad Shah Irshad, Gul Ahmad Ludin, Hasan Masrur, Mikaeel Ahmadi, Atsushi Yona, Alexey Mikhaylov, Narayanan Krishnan and Tomonobu Senjyu

Renewable Energy, 2023, vol. 207, issue C, 714-730

Abstract: The performance assessment of renewable energy technologies, such as PV systems, is pivotal in planning for hybrid energy systems. This work clears the way for researchers to construct the best PV-based hybrid systems by first performing performance analysis metrics suggested by IEC 61724 on several PV technology options, and then choosing the most technically sound option. Next, using HOMER Pro software, construct a PV/grid and battery hybrid system with effective PV technology. The performance of three PV technologies, i.e., monocrystalline silicon, polycrystalline silicon, and amorphous silicon is assessed to demonstrate how their performance varies depending on the location. Results showed that (m-Si) has greater performance than the other two PV technologies, with yearly array yields of 5.26 h/day, reference yields of 6.18 h/day, and final yields of 5.18 h/day, a capacity factor of 14.31%, system losses of 0.076, and a performance ratio (PR) of 83.9%. The most effective configuration of the system under evaluation consists of a 72.8 kW PV connected to the grid and a 59.4 kW converter. The total NPC is expected to be Rs. $397,684 for the optimal configuration, costing Rs. $0,0493/kWh. The additional electricity in the best situation is 977 kWh, which is insignificant compared to the system capacity. Two sensitivity variables, including changes in the main load, are anticipated to be 10% and 15% higher than the current value (1698.63 kWh) and the battery's minimum state of charge, with 20%, 25%, and 30% uncertainty, are addressed.

Keywords: Renewable energy; Solar energy; Performance analysis; HOMER Pro; PVSyst (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:207:y:2023:i:c:p:714-730

DOI: 10.1016/j.renene.2023.03.062

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