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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Malligunta Kiran Kumar
K L UNIVERSITY
Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Journal : International Journal of Applied Power Engineering (IJAPE)

 1 
PM flux-reversal machine for wind energy application Bharathi, Manne; Prasanth, I. S. N. V. R.; Devi, Tellapati Anuradha; Kumar, Malligunta Kiran; Kumar, D. Ravi; Reddy, Ch. Rami
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp909-919

Abstract

Currently, attempts are being made to harness wind energy by means of non-conventional electrical machines such as flux reversal machines (FRM). The main advantage of the FRM, when compared with existing synchronous generators (SG), is that all the active parts like PMs and armature windings are mounted on the stator part, whereas leaving the rotor has simple and robust. In this study, the three-phase 6/8-pole flux reversal generators (FRGs) are selected, sized, designed, and analyzed using finite element analysis (FEA). The working principle, choice of stator and rotor poles, and machine design dimensions evaluation (analytical sizing procedure), as well as relevant performance details are discussed in this paper. This study is used to analyze, a popular 6/8 pole, 0.8 kW, 50 Hz, and examine the suitability for the wind energy applications in terms of torque and power density, torque ripple, power factor, and cogging torque under 2D finite element analysis (FEA). The analysis provides an update on the current state-of-the-art and as well as future thrust areas of research necessary to bridge the gap on what is still desired for the practical application of FRMs for wind energy.
Integration and optimization of grid through ANN-based solar MPPT and battery Sujran, Kolli; Sirisha, Ankala; Swapna, Ganapaneni; Kumar, Malligunta Kiran; Rao, Kambhampati Venkata Govardhan
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i4.pp988-998

Abstract

Integration of solar energy into the grid is the most important aspect for achieving sustainable energy systems. This paper presents an artificial neural network-based maximum power point tracking (ANN-MPPT) system with battery storage to enhance grid efficiency. The proposed ANN-MPPT is dynamically adapted to the varying irradiance and temperature, hence ensuring optimal power extraction from the photovoltaic system. Excess energy is stored in batteries during high solar radiation and discharged when solar generation is low or grid demand is high, maintaining a stable power supply. This system enhances the grid performance in terms of supporting real-time energy exchange, load balancing, and grid stability. Efficient management of the energy fluctuations ensures reliability even at times of grid failures. Further, integration of ANN-based MPPT with battery storage reduces dependence on non-renewable sources and harmonizes solar energy utilization. It can be achieved through enabling smarter energy management and thus contributing to the resilience and efficiency of a grid for better integration of renewable energies. The proposed system can tolerate fluctuating grid demands apart from supporting the features of smart grid, hence viable for increasing stability and sustainability in the grid.
Co-Authors Bharathi, Manne Bikku, Thulasi Devi, Tellapati Anuradha Giriprasad, Ambati Goud, Srikanth B. Guttikonda, Chandra Babu Jee, Atul Jyothi, B Jyothi, B. Kalyani, Thalanki Venkata Sai Kanagala, Santoshi Kumar, D. Ravi Narasimha, Putta Dhanush Pabbuleti, Bhavana Ponnala, Ravi Prasanth, I. S. N. V. R. Prashanth, ISNVR Rao, Gundala Srinivasa Rao, Kambhampati Venkata Govardhan Reddy, Ch. Rami Sanjeev, Gadi Sirisha, Ankala Srilakshmi, S. Sai Sujran, Kolli Swapna, Ganapaneni Tadivaka, Teja Sreenu Teerdala, Rakesh Teja, Srungaram Ravi Varma, Pinni Srinivasa Yadav, Mareboyina Karthik