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M. Thakre, Pranali
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Electrical & Electronics Engineering

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Integration of storage technology oversight: power system and computer engineering analogy P. Thakre, Mohan; M. Thakre, Pranali; C. Tapre, Pawan; S. Pawase, Ramesh; Somnath Kadlag, Sunil; Prakash Kadam, Deepak; N. Bhadane, Satish
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.v12i6.4879

Abstract

Energy storage, analogous to data storage in a computer system, is one of the enabling technologies that has emerged alongside the widespread use of renewable energy sources in the nation's power grid. This article shows that the underlying platforms for storing data and energy are quite similar. Batteries and hydrogen storage offer significant energy potential, much like a hard disk for storing vast amounts of data in a computer's central processing unit (CPU). A supercapacitor or flywheel storage device can be used to have emergency power on hand, with access times as fast as random access memory (RAM) in modern computers. In this study, we propose an energy-control scheme for caches that is akin to computer engineering and is used to coordinate the operation of multilevel storage systems that incorporate both capacity and access-oriented storage. By supporting the energy-management system, which in turn provides modern plug-and-play functionality, cache energy control helps optimise the system as a whole. Such an integrated system calls for renewable energy generation, local loads, fueling stations, and connections to gas and electric distribution grids. Distribution energy concepts with various storage systems can be easily grasped by drawing parallels between computer engineering and power system integration.
Design and realization of a fuzzy logic-based MPPT controller for PV systems using microcontroller Thakre, Mohan P.; Kumar, Badal; Kumar, Alok; Nilesh Thakur, Supriya; Kanekar, Krupali; M. Thakre, Pranali; K. Magadum, Prashant
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11394

Abstract

This study presents a microcontroller-based fuzzy logic control method for maximum power point tracking (MPPT) in photovoltaic systems under varying temperature and solar irradiation. The proposed controller is implemented on an 8-bit microcontroller and regulates the duty cycle of a pulse-width-modulation-driven DC-DC converter to extract maximum power from the photovoltaic array. Unlike conventional MPPT methods, the fuzzy logic approach provides faster response, improved flexibility, and stronger robustness against nonlinear current-voltage characteristics and converter switching effects. The system includes a photovoltaic array, sensing circuits, a DC-DC converter, and an embedded controller programmed with optimized C code for real-time operation. Experimental results show that the proposed method reaches the maximum power point quickly and maintains stable performance during environmental changes. It also improves energy conversion efficiency compared with traditional algorithms. Its low-cost hardware and simple embedded implementation make it suitable for practical photovoltaic applications and sustainable energy generation in renewable energy systems.
Co-Authors C. Tapre, Pawan K. Magadum, Prashant Kanekar, Krupali Kumar, Alok Kumar, Badal N. Bhadane, Satish Nilesh Thakur, Supriya P. Thakre, Mohan Prakash Kadam, Deepak S. Pawase, Ramesh Somnath Kadlag, Sunil Thakre, Mohan P.