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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Pandi Vigneshwaran
SRM Institute of Science & Technology
Computer Science & IT Electrical & Electronics Engineering

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Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic Prisma Megantoro; Hafidz Faqih Aldi Kusuma; Lilik Jamilatul Awalin; Yusrizal Afif; Dimas Febriyan Priambodo; Pandi Vigneshwaran
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp5717-5729

Abstract

The characteristics of the photovoltaic module are affected by the level of solar irradiation and the ambient temperature. These characteristics are depicted in a V-P curve. In the V-P curve, a line is drawn that shows the response of changes in output power to the level of solar irradiation and the response to changes in voltage to ambient temperature. Under partial shading conditions, photovoltaic (PV) modules experience non-uniform irradiation. This causes the V-P curve to have more than one maximum power point (MPP). The MPP with the highest value is called the global MPP, while the other MPP is the local MPP. The conventional MPP tracking technique cannot overcome this partial shading condition because it will be trapped in the local MPP. This article discusses the MPP tracking technique using an evolutionary algorithm (EA). The EAs analyzed in this article are genetic algorithm (GA), firefly algorithm (FA), and fruit fly optimization (FFO). The performance of MPP tracking is shown by comparing the value of the output power, accuracy, time, and tracking effectiveness. The performance analysis for the partial shading case was carried out on various populations and generations.
Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array Prisma Megantoro; Abdul Abror; Muhammad Akbar Syahbani; Antik Widi Anugrah; Sigit Dani Perkasa; Herlambang Setiadi; Lilik Jamilatul Awalin; Pandi Vigneshwaran
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5950

Abstract

A solar photovoltaic (PV) array is part of a PV power plant as a generation unit. PV array that are usually placed on top of buildings or the ground will be very susceptible to dirt and dust. Thus, this dirt and dust will be able to reduce the performance and work efficiency of the generation unit. Cleaning PV arrays by manpower requires high effort, cost, and risk, especially in higher location. This study presents the design of a mobile robot that is used to replace human labor to clean PV arrays. That way, the PV array maintenance steps can reduce operational costs and risks. This intelligent controlled mobile robot can maneuver safely and efficiently over PV arrays. gyroscope and proximity sensors are used to detect and follow the sweep path over the entire PV array area. Proportional integral derivative (PID) control test makes the robot can stabilize in about 5.72 seconds to keep on the track. The smart PV cleaning robot has average operation time about 13 minutes in autonomous mode and 20-24 minutes in manual mode. The operation of the robot is effective to give more efficiency on the use of energy, time, and maintenance costs of PV array system.
Co-Authors Abdul Abror Afif, Yusrizal Antik Widi Anugrah Awalin, Lilik Jamilatul Dimas Febriyan Priambodo Hafidz Faqih Aldi Kusuma Herlambang Setiadi Muhammad Akbar Syahbani Prisma Megantoro Sigit Dani Perkasa