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This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences Indonesian Journal of Electrical Engineering and Computer Science
Mishra, Debani Prasad
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Modulation and performance analysis of two-wheeler electric vehicle Mishra, Debani Prasad; Senapati, Rudranarayan; Kumar, Pavan; Bhardwaj, Lakshay; Salkuti, Surender Reddy
International Journal of Applied Power Engineering (IJAPE) 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/ijape.v15.i1.pp186-194

Abstract

When compared to traditional cars, electric vehicles (EVs) have less pollution, better fuel efficiency, and are better for the environment. This essay explores the evolution of EVs in great detail, emphasizing their vital role in lowering CO2 emissions and promoting sustainability. It builds a dynamic model for EVs using MATLAB/Simulink, which explains the state of charge (SOC) and range prediction. The study emphasizes the importance of EVs in promoting a sustainable future by thoroughly covering design details, modeling, and a scientific methodology. Through the use of modeling to clarify technical aspects and highlight the significance of EV adoption, this study highlights the vital role that EVs play in reducing environmental impact and advancing environmentally friendly transportation. It highlights EVs' potential to revolutionize the automobile sector while promoting cleaner modes of transportation. It offers a thorough overview of EV production and usage and fervently promotes their wider acceptance as a means of laying the groundwork for a more sustainable and clean future.
Optimization of load frequency control systems using PSO technique Mishra, Debani Prasad; Senapati, Rudranarayan; Yashwanth, Lingam; Uday, Peesodi; Salkuti, Surender Reddy
International Journal of Applied Power Engineering (IJAPE) 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/ijape.v15.i1.pp177-185

Abstract

This paper investigates the improvement of low-frequency load control (LFC) by optimizing integral part (PID) control using particle swarm optimization (PSO). Load frequency control is important to ensure energy stability by maintaining the balance between production and consumption. Conventional proportional integral derivative controllers are widely used for this purpose; however, their performance can be further improved through optimization. This work uses particle swarm optimization, a nature-inspired algorithm, to set the parameters of the proportional integral derivative controller. PSO was chosen because it can search for good solution space and find a good agreement between control parameters, thus improving the dynamic and stable response of the system. This article provides a comprehensive evaluation of the proposed approach, including simulation results and comparisons with standard PID controllers. The effectiveness of the optimized PID controllers in reducing the frequency difference and improving the overall efficiency of the power plant under different conditions is demonstrated. This study provides insight into the use of artificial intelligence to improve control parameters in the power grid, providing a promising way to improve the efficiency and reliability of frequency controllers.
Application of fuzzy logic technique to track maximum power point in photovoltaic systems Rout, Kshirod Kumar; Mishra, Debani Prasad; Mishra, Sivkumar; Teja Rishitha, Gangavaram; Salkuti, Surender Reddy
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp101-109

Abstract

The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.
Various object detection algorithms and their comparison Mishra, Debani Prasad; Rout, Kshirod Kumar; Mishra, Sivkumar; Salkuti, Surender Reddy
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp330-338

Abstract

This paper presents a detailed and comparative analysis of various object detection algorithms. The challenge of object detection is taken care of while studying various algorithms. Throughout the year various methods have been discovered in this field, each having its advantages and drawbacks. This paper aims at providing the systematic study of all the popular algorithms including the conventional ones. Although many methods and techniques come up each year and each of them having superiority other the previous models but at the same time even complexity increases. In this paper, some famous and basic methods of object detection and tracking are discussed. Using these developed techniques good results can be obtained and also the comparison of the efficiency of all the models can be done. Real-time applications and the outcomes are also discussed.
Co-Authors Agarwal, Nandini Agrawal, Shruti Behera, Niharika Behera, Pratyus Ranjan Behera, Sandip Ranjan Behera, Subhashis Satyabrata Bhardwaj, Lakshay Biswal, Prabin Das, Subha Ranjan Dash, Arul Kumar Gupta, Shubh Hembram, Dashmat Jhunjhunwalla, Drishana Kedia, Nisha Kumar, Aman Kumar, Ayush Kumar, Pavan Kumar, Prince Lenka, Rakesh Kumar Mallick, Soubhagya Ranjan Mishra, Sivkumar Nayak, Pranav Swaroop Ojha, Prajna Jeet Padhy, Somya Siddharth Palei, Shantilata Patro, Aditya Ranjan Pattanayak, Nitesh Pradhan, Partha Sarathi Pradhan, Rudranarayan Priyadarshini, Ananya Rai, Niti Rani rai, Priyanka Rajeev, B Rout, Kishrod Kumar Rout, Kshirod Kumar Routray, Bhabesh Sahay, Sanchita Sahoo, Arun Kumar Sahu, Jayanta Kumar Sahu, Smruti Susmita Salkuti, Surender Reddy Samal, Sarita Samanvi, Potnuru Satapathy, Swayamjyoti Senapati, Asutosh Senapati, Rudranarayan Sethy, Sai Kanha Shah, Dhruvi Shekhar, Priyansu Singh, Anurag Singh, Saksham Subudhi, Umamani Swain, Raj Alpha Teja Rishitha, Gangavaram Uday, Peesodi Yagyna Duthsharma, Rampa Sri Sai Yashwanth, Lingam