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primary topic: Optimal Design and Performance Analysis of Multiple Photovoltaic with Grid-Connected Commercial Load

Optimal Design and Performance Analysis of Multiple Photovoltaic with Grid-Connected Commercial Load
type: AcademicArticle
type: Article
abstract: This study aimed to evaluate the potential of integrating Photovoltaic (PV) with commercial load and examine the impact on distribution networks. To estimate the hourly PV output power, 13 years of historical weather data were used. Furthermore, a beta probability density function was modeled to handle large amounts of data and generate a 24-hour predicted PV curve. Particle Swarm Optimization (PSO) was used to determine the location and size of multiple PV units, ranging from 1 to 3. PV performance was tested on IEEE 33-bus and 69-bus test systems using time-varying commercial load, with power loss index (PLI) set as the objective function. PV penetration level was also calculated. The results showed a significant power loss reduction and PV penetration levels when 3 PV units were integrated into the system compared to a single PV unit. Specifically, the power loss reduction improved from 32.71 to 45.37 and 43.80 to 48.08, producing PV penetration levels of 43.08 and 40.15 in 33-bus and 69-bus systems, respectively. The results indicated that the integration of multiple PV units was better than the single PV integration. The proposed model using PSO determined the impact of considering weather-dependent PV generation simultaneously with time-varying loads. It also provided knowledge to model the optimal location and sizing of multiple PV units in the distribution networks based on the generated solar irradiance patterns. © (2024), (International Journal of Technology). All rights reserved.
date: 2024
volume: 15
issue: 4
is part of: International Journal of Technology
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

Faculty of Engineering, Universitas Indonesia
type: Organization

International Journal of Technology
type: Collection
issn: 20869614

Abid Ali
type: Person
given name: Abid
family name: Ali

Hanis Farhah Jamahori
type: Person
given name: Hanis Farhah
family name: Jamahori

Md Pauzi Abdullah
type: Person
given name: Md Pauzi
family name: Abdullah

Abdulrahman AlKassem
type: Person
given name: Abdulrahman
family name: AlKassem

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primary topic: Optimal Design and Performance Analysis of Multiple Photovoltaic with Grid-Connected Commercial Load