Random opposition flow direction algorithm with Lévy distribution for optimum placement of EV fast charging stations and distributed generation K. Kalyan Kumar N.A., G. Nageswara Reddy International Journal of Mathematical Modelling and Numerical Optimisation, 2026 Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.
Enhancing IoT-Enabled Electric Vehicle Battery Performance Monitoring and Prediction using AI Techniques Mummadi Durga Bhavani, K. Kalyan Kumar 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies Giest 2025, 2025 The rapid adoption of Electric Vehicles (EVs) has intensified the need for efficient battery monitoring and predictive maintenance to ensure safety, longevity, and optimal performance. This study presents an advanced framework integrating Artificial Intelligence (AI) with Internet of Things (IoT) technology to monitor and predict EV battery health in real time. The IoT-based system employs state-of-the-art sensors to collect key battery parameters, including temperature, voltage, current, and charge cycles. Data is analyzed using AI models such as Machine Learning and deep learning algorithms to detect anomalies, forecast degradation, and optimize energy management. The proposed approach achieves high predictive accuracy, with metrics Mean Absolute Error (MAE: 0.0790), Root Mean Square Error (RMSE: 0.1040), and $\mathbf{R}^{2}$ score (0.9900). This enables early fault detection, reduces maintenance costs, and extends battery life, while improving thermal management and charging efficiency. The results demonstrate that combining IoT data acquisition with AI analytics offers a robust, data-driven solution for proactive EV battery management, enhancing efficiency, reliability, and sustainability in modern transport systems.
Application of Modified Flow Direction Algorithm for Network Reconfiguration with Distributed Generator Installation K. Kalyan Kumar, G. Nageswara Reddy Journal of Engineering Science and Technology Review, 2024 This article used an improved version of the Flow Direction Algorithm (FDA) with acceleration coefficients named Modified Flow Direction Algorithm (MFDA) for simultaneous Optimal Network Reconfiguration (ONR) and Optimal Distribution Generation's (ODG) installation to reduce the Active Power Losses (APL), maximize the Voltage Profile (VP) and stability of the Distribution System (DS).FDA is motivated by the simulation of the direction of water flow into a drainage basin at a lower elevation area.The neighboring flow and its slope also affect the direction of the water flow; its slope was obtained using the D8 method.FDA has a low convergence rate, stuck with local optima.This article proposed acceleration coefficients to acquire the proper balance between exploration and exploitation, accelerate the global convergence rate, and avoid getting stuck with local optima.The efficiency of the MFDA is evaluated based on its performance on 16 standard benchmark functions and is also used to solve the simultaneous ONR and ODG installation.Two DSs consisting of 33 and 69 bus test systems are considered to solve the problem.There are three methodologies to reduce the APL and maximize the VP and stability: ONR, ODG, and simultaneous ONR and ODG installation.This article uses four case studies with different load levels to show the proposed method's reliability.The analysis shows a better way to minimize the power loss by solving simultaneous ONR and ODG installation rather than only optimizing reconfiguration or installation of DG.It has been discovered that the results achieved are superior to those produced using the ISCA, FWA, HSA, etc. So, the MFDA shown can be a potentially useful way to solve 16 standard benchmark functions and simultaneous ONR and ODG installation.
Solar photovoltaic system modelling and analysis: Design and estimation Solar Photovoltaic System Modelling and Analysis Design and Estimation, 2023
An Efficient Forecast Method for Transformers by Thermal Profile Analysis 14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Off-Policy Reinforcement based on a Safe Model Eco-Driving Education for Fully-Automated, Connected Hybrid Vehicles Soumitra S Pande, Neeraja B, K Kalyan Kumar, Singarapu Sathish, Lakkakula Mounika, Jyoti Prasad Patra Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems Icears 2023, 2023 Eco-driving reduces gas use. Eco-driving improves driving behavior and fuel economy without hardware modifications. Eco-driving strategies exist. Speed control is difficult in many driving conditions. This research develops an eco-driving approach to reduce car emissions in a variety of scenarios. DRL has helped eco-driving reduce fuel usage and travel time. Data-driven reinforcement learning can improve autonomous electric car speed planning. Eco-driving strategy reinforcement learning prototype. Three enhancements are offered. Off-policy learning and physics-based models improve sample efficiency. Second, constraint fulfillment can be achieved without externally rewarding proper behavior during training. Third, deep generative techniques to mimic a safe set ensure the route is possible. The reinforcement learning method can optimize car speed based on highway gradient and vehicle distance. Reinforcement learning outperforms evolutionary algorithms nearly perfectly.
The Sparrow Search Algorithm for Optimum Position of Wind Turbine on a Wind Farm International Journal of Renewable Energy Research, 2021
Analysis of Microgrid System with Photovoltaic Array K. Ramamohan Reddy, N. Siddhik, A. Jyothirmayi, K. Kalyan Kumar Journal of Physics Conference Series, 2021 As the modern power system is advancing, new challenges are coming in to picture. The micro-grid concept along with renewable energy PV systems is emerging as a key factor for the long-term doable solution for future energy sector requirements. Micro-grid can have distributed energy resources like PV panels, wind turbines, Geothermal Tidal energy & power generators that produce power. Controlling and protection are the main problems that need to be handled in microgrid operation. Microgrids need to provide multiple end user needs simultaneously. For example, electricity generation, heating and cooling. This paper accords with the analysis of a Microgrid system connected with a PhotoVoltaic array.
Power quality improvements in grid connected PV system using novel optimization technique , K. Kalyan Kumar*, T. Kishore Kumar, , N. Siddhik, and International Journal of Recent Technology and Engineering, 2019 In the last few years, several concepts have been developed in the field of Power Quality (PQ) improvements. Features of PQ plays a significant part in power system based applications. Nowadays, technologies in Renewable Energy Source (RES) have got more opportunities for promoting Photo-Voltaic (PV) for generating electric power. It may affect the reliability and stability of entire power system, also produces the switching frequency with irregular manner and variation within the certain region. Also, Incremental-Conductance (IC) method miserably fails to recognize Global Maximum Power Point (MPP) and gets trapped in one of the Local MPP. Since the conventional MPPT (Maximum Power Point Tracking) might not separate the maximum power of the P-V characteristic curve, a novel tracking system needs to be established. In this research work, Kinetic Gas Molecular Optimization (KGMO) is implemented with IC for improving the PQ by providing the adequate switching pulse to inverter for enhancing the system performance. The proposed method reduced the Total Harmonic Distortion (THD) up to 4.67 %, and the efficiency is observed by evaluation over the traditional Radial Basis Function Neural Network (RBFNN) and IC-MPPT techniques. The proposed method is implemented in the MATLAB/Simulink software to analyze the performance of PQ issues.
RECENT SCHOLAR PUBLICATIONS
Random opposition flow direction algorithm with Lévy distribution for optimum placement of EV fast charging stations and distributed generation KK Kumar, GN Reddy International Journal of Mathematical Modelling and Numerical Optimisation … , 2026 2026.0
Application of Modified Flow Direction Algorithm for Network Reconfiguration with Distributed Generator Installation. KK Kumar, GN Reddy Journal of Engineering Science & Technology Review 17 (2) , 2024 2024.0 Citations: 1
An Efficient Forecast Method for Transformers by Thermal Profile Analysis T Mariprasath, T. , Durgaprasad , Kalyankumar, K. , Naresh 14th International Conference on Advances in Computing, Control, and … , 2023 2023.0
Off-policy reinforcement based on a safe model eco-driving education for fully-automated, connected hybrid vehicles SS Pande, B Neeraja, KK Kumar, S Sathish, L Mounika, JP Patra 2023 Second International Conference on Electronics and Renewable Systems … , 2023 2023.0 Citations: 3
The sparrow search algorithm for optimum position of wind turbine on a wind farm KK Kumar, GN Reddy Int J Renew Energy Res 11 (4), 1-8 , 2021 2021.0 Citations: 11
Analysis of Microgrid System with Photovoltaic Array K Ramamohan Reddy, N Siddhik, A Jyothirmayi, K Kalyan Kumar Journal of Physics: Conference Series 2089 (1), 012068 , 2021 2021.0
Power quality improvements in grid connected PV system using novel optimization technique KK Kumar, TK Kumar, N Siddhik Int. J. Recent Technol. Eng 8 (3), 5104-5110 , 2019 2019.0 Citations: 9
Fly Back Micro Inverter Control Strategy With Hybrid Mode For Pv Ac Modules KKK S.V. SAI DIVIJA International journal for Innovative Engineering and Management Research 7 … , 2018 2018.0
A DC Grid Based Wind Power Generation System in a Micro Grid M SUMALATHA, KK KUMAR, CN ARPITHA 2017.0
Numerical modelling of dissipation energy of high tensile steel frames against cyclic earthquake excitations AK Dutta, S Sivaprasad, HN Bar, P Prasad, K Kumar Journal of Metallurgy and Materials Science 58 (3), 133-146 , 2016 2016.0
Improvement of Voltage Profile using STATCOM with Adaptive PI Control BP LAKSHMI, KK KUMAR 2015.0
The Modeling and Control of a Wind Turbine using Permanent Magnet Synchronous Generator RNV SUDHEER, K KALYANKUMAR 2014.0
A Control Strategy of a Permanent Magnet Synchronous Generator based Stand Alone Variable Speed Wind Turbine RNV SUDHEER, KK KUMAR 2013.0
A Hybrid Wind-Photovoltaic System with Multi-input CUK and SEPIC Rectifier Topology N THRIVIKRAMARAJU, K KALYANKUMAR 2013.0
Damping of low frequency oscillations with UPFC an application of neuro-fuzzy controller GV Sagar, KK Kumar International Journal of Electrical and Electronic Engineering … , 2012 2012.0 Citations: 16
Improving Power Quality by UsingMC-UPQC KKK VS Prakash International Journal of Engineering Reasearch and Applications 2 (5), 778-783 , 2012 2012.0
Smart Grid Fault Diagnosis for PV Arrays: A New Direction in PV Maintenance KK Kumar, S Tabasum, PD Prasad, N Siddhik
Position Change Dual-Feed Induction Generator Real-Time Wind Turbine Control KK Kumar, S Tabasum, PD Prasad, N Siddhik
A New Mathematical Model for Estimating Solar PV Module Energy Production KK Kumar, S Tabasum, PD Prasad, N Siddhik
Modeling in UML for an Android-based Mobile Game KK Kumar, S Tabasum, PD Prasad, N Siddhik
MOST CITED SCHOLAR PUBLICATIONS
Damping of low frequency oscillations with UPFC an application of neuro-fuzzy controller GV Sagar, KK Kumar International Journal of Electrical and Electronic Engineering … , 2012 2012.0 Citations: 16
The sparrow search algorithm for optimum position of wind turbine on a wind farm KK Kumar, GN Reddy Int J Renew Energy Res 11 (4), 1-8 , 2021 2021.0 Citations: 11
Power quality improvements in grid connected PV system using novel optimization technique KK Kumar, TK Kumar, N Siddhik Int. J. Recent Technol. Eng 8 (3), 5104-5110 , 2019 2019.0 Citations: 9
Off-policy reinforcement based on a safe model eco-driving education for fully-automated, connected hybrid vehicles SS Pande, B Neeraja, KK Kumar, S Sathish, L Mounika, JP Patra 2023 Second International Conference on Electronics and Renewable Systems … , 2023 2023.0 Citations: 3
Application of Modified Flow Direction Algorithm for Network Reconfiguration with Distributed Generator Installation. KK Kumar, GN Reddy Journal of Engineering Science & Technology Review 17 (2) , 2024 2024.0 Citations: 1
Random opposition flow direction algorithm with Lévy distribution for optimum placement of EV fast charging stations and distributed generation KK Kumar, GN Reddy International Journal of Mathematical Modelling and Numerical Optimisation … , 2026 2026.0
An Efficient Forecast Method for Transformers by Thermal Profile Analysis T Mariprasath, T. , Durgaprasad , Kalyankumar, K. , Naresh 14th International Conference on Advances in Computing, Control, and … , 2023 2023.0
Analysis of Microgrid System with Photovoltaic Array K Ramamohan Reddy, N Siddhik, A Jyothirmayi, K Kalyan Kumar Journal of Physics: Conference Series 2089 (1), 012068 , 2021 2021.0
Fly Back Micro Inverter Control Strategy With Hybrid Mode For Pv Ac Modules KKK S.V. SAI DIVIJA International journal for Innovative Engineering and Management Research 7 … , 2018 2018.0
A DC Grid Based Wind Power Generation System in a Micro Grid M SUMALATHA, KK KUMAR, CN ARPITHA 2017.0
Numerical modelling of dissipation energy of high tensile steel frames against cyclic earthquake excitations AK Dutta, S Sivaprasad, HN Bar, P Prasad, K Kumar Journal of Metallurgy and Materials Science 58 (3), 133-146 , 2016 2016.0
Improvement of Voltage Profile using STATCOM with Adaptive PI Control BP LAKSHMI, KK KUMAR 2015.0
The Modeling and Control of a Wind Turbine using Permanent Magnet Synchronous Generator RNV SUDHEER, K KALYANKUMAR 2014.0
A Control Strategy of a Permanent Magnet Synchronous Generator based Stand Alone Variable Speed Wind Turbine RNV SUDHEER, KK KUMAR 2013.0
A Hybrid Wind-Photovoltaic System with Multi-input CUK and SEPIC Rectifier Topology N THRIVIKRAMARAJU, K KALYANKUMAR 2013.0
Improving Power Quality by UsingMC-UPQC KKK VS Prakash International Journal of Engineering Reasearch and Applications 2 (5), 778-783 , 2012 2012.0
Smart Grid Fault Diagnosis for PV Arrays: A New Direction in PV Maintenance KK Kumar, S Tabasum, PD Prasad, N Siddhik
Position Change Dual-Feed Induction Generator Real-Time Wind Turbine Control KK Kumar, S Tabasum, PD Prasad, N Siddhik
A New Mathematical Model for Estimating Solar PV Module Energy Production KK Kumar, S Tabasum, PD Prasad, N Siddhik
Modeling in UML for an Android-based Mobile Game KK Kumar, S Tabasum, PD Prasad, N Siddhik
