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p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Indonesian Journal of Electrical Engineering and Computer Science
Sravanthi Pagidipala
Woosong University
Computer Science & IT

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Comprehensive analysis of current research trends in energy storage technologies Surender Reddy Salkuti; Sravanthi Pagidipala; Seong-Cheol Kim
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 3: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i3.pp1288-1296

Abstract

This paper addresses the comprehensive analysis of various energy storage technologies, i.e., electrochemical and non-electrochemical storage systems by considering their storage methods, environmental impact, operations, costs, and their importance and applications. These storage technologies will help to reduce the energy shortage. There has been a significant deployment of storage systems in power grids throughout the world. The characteristics of storage systems such as the ability to act both as generation and load, fast response time, and high ramp rate. Make them promising options for the system operators to reduce the peak demand, and facilitate renewable energy integration. Various new trends in energy depict the ways this generated energy could be stored and harnessed. With the recent integration of renewable energy, it is important to store the energy and it is combined to help the green energy demand. The integration of renewable energy into the power grid has increased reliability, efficiency, and stability. Adding the energy component will further enhance the capabilities of the grid. This paper also recommends an optimal storage technique from various available storage technologies.
Self-adaptive firefly algorithm-based capacitor banks and distributed generation allocation in hybrid networks Seong-Cheol Kim; Sravanthi Pagidipala; Surender Reddy Salkuti
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i1.pp374-383

Abstract

Power system deregulation has made significant changes to the power grid through various technologies, privatization of entities, and improved efficiency and reliability. This work mainly focuses on different combinations of distributed generation (DG) and capacitor banks (CBs) integration to cater to multiple technical, economic, environmental, and reliable concerns. A new optimal planning framework is proposed for optimally allocating the DG units and CBs to achieve multiple objectives. In this work, an augmented objective function is formulated by considering active power losses, voltage deviation, and voltage stability index objectives. This objective function is solved considering various equality and inequality constraints. This work proposes a novel approach for allocation of DGs and CBs in the radial distribution systems (RDSs) using an evolutionary-based self-adaptive firefly algorithm (SAFA). The effectiveness of the developed planning approach is demonstrated on IEEE 33 bus RDS in MATLAB software. The obtained results indicate that proposed planning approach resulted in reduced power losses, voltage deviations, and improved voltage stability.
Co-Authors Seong-Cheol Kim Surender Reddy Salkuti