Dr. Rahul Wilson Kotla

@vignan.ac.in

Assistant Professor in EEE
Vignan's Foundation for Science Technology and Research (Deemed to be University), Deshmukhi, Hyderabad

Dr. Rahul Wilson Kotla


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https://researchid.co/kotlarahulwilson

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Energy
14

Scopus Publications

125

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Grid resilience enhancement of photovoltaic systems via Lyapunov-validated active–reactive power coordination and inverter oversizing
    Rahul Wilson Kotla, Srikant Ganji, Jayavani Lagudu, Srinivasa Rao Yarlagadda, Sahithya Bolli
    Scientific Reports, 2026
    The rapid integration of photovoltaic (PV) systems into distributionnetworks creates significant challenges in managing power fluctuationsand maintaining voltage stability. While conventional maximum powerpoint tracking (MPPT) techniques improve energy extraction, they arelimited in mitigating active power oscillations and providing fastreactive support during grid disturbances. This study introduces anactive-reactive power coordination framework with modest inverteroversizing, designed to enhance both steady-state and dynamicperformance of grid-connected PV inverters. The proposed approachcombines Incremental Conductance (INC)-based MPPT with dynamicreactive power control under apparent power constraints, and itsstability is rigorously evaluated using small-signal, frequency-domain,continuation power flow, and Lyapunov analyses. Simulation results fora 50 kW dual-stage PV system under diverse operating scenarios-including irradiance variations, load disturbances, voltage sags, andshort-circuit faults-demonstrate that the method suppresses poweroscillations to within ±0.9%, regulates PCC voltage within ±3%,increases feeder loadability by 15%, and reduces on-load tap changeroperations by 40%. These findings confirm that Lyapunov-basedstability assessment, together with coordinated active-reactive controland oversizing, offers a practical pathway for improving grid reliabilityand resilience in PV-rich distribution systems.
  • Techno economic integrated planning of solar integrated electric vehicle charging infrastructure in India using an AI enabled multi objective planning framework
    Rahul Wilson Kotla, Nimmakanti Anil, Jayavani Lagudu, T. Dinesh, Bolla Kavya
    Scientific Reports, 2026
    India's transition to electric mobility demands charging infrastructure that is cost-efficient, grid-compatible, and capable of integrating solar generation. Existing studies typically examine demand forecasting, PV utilisation, charging-topology behaviour, and economic viability in isolation, limiting their relevance for large-scale deployment. This work proposes a unified co-design framework that jointly optimises charging-station siting, charger sizing, PV allocation, and operational economics under India's tariff structure. Hourly EV demand is predicted using a hybrid forecasting model that combines Temporal Fusion Transformers with Graph Neural Networks to capture spatial and temporal variations. Solar-generation modelling, topology-based charger efficiencies, and distribution-grid constraints are incorporated into a techno-economic formulation. A multi-objective optimisation approach (NSGA-II) identifies configurations that minimise cost, reduce peak grid loading, and maximise solar utilisation. The framework is demonstrated using a representative mixed urban-highway region. Results show a 28-35% reduction in peak grid load, a 40-70% improvement in utilisation, and a 12-18% decrease in the levelised cost of charging compared with non-optimised deployments. The findings highlight the importance of integrated planning that aligns solar availability, demand behaviour, and tariff incentives. The proposed methodology offers a scalable decision-support tool for policymakers, utilities, and private developers planning future EV charging networks in India.
  • Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda, T.S.N.G. Sarada Devi
    Global Energy Interconnection, 2026
    The rapid expansion of electric vehicles (EVs) and renewable energy resources introduces new operational stresses in modern power networks such as peak-load surges, voltage fluctuations, and quality degradation. This work presents a hybrid intelligence-based multi-agent framework that combines Adversarial Reinforcement Learning (ARL) with Dynamic Grey Wolf Optimization (DGWO) to coordinate EV charging, renewable usage, and energy trading. Each entity—EVs, charging stations, renewable units, and the grid operator—acts as an adaptive agent capable of self-learning and cooperative decision-making under uncertainty. The ARL component strengthens learning under variable demand, while DGWO continuously refines control parameters to ensure fast and stable convergence. Simulation studies on a renewable-supported microgrid show a 21% reduction in peak demand, 18% higher renewable energy utilization, 22% less EV waiting time, and 15% greater profitability than conventional GA, PSO, GWO, and RL methods. Voltage deviation stayed within ±3%, power factor exceeded 0.97, and THD remained below 4%, meeting IEEE 519/1547 standards. These results confirm that the proposed ARL–DGWO framework offers a scalable and reliable solution for next-generation EV-grid coordination.
  • Learning-Assisted Model Reference Adaptive Control of Unified Power Flow Controller for Enhanced Power Quality
    Kunta Srikanth, Srinivas Kunta, Rahul Wilson Kotla, Nimmakanti Anil
    Journal of the Institution of Engineers India Series B, 2026
  • Self-balancing Thirteen-Level Switched Capacitor Inverter with Multi-carrier-Based Phase Disposition PWM Control Scheme
    T. S. N. G. Sarada Devi, Rahul Wilson Kotla, E. Venkatesh, T. Srinivas, Bolla Kavya, Chitta Sairam
    Lecture Notes in Electrical Engineering, 2026
  • ENHANCED ELECTRIC VEHICLE CHARGING TOPOLOGY WITH INTEGRATED FUZZY-BASED SHUNT CONVERTER
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda, Kumudwathi Mannala, Dharani Sreek, Vijaya Madhavi Sivarathri
    Acta Polytechnica, 2025
    This article presents a novel electric vehicle charging scheme that addresses power quality issues in distribution grids, caused by widespread EV charging. The system uses an interval type-II (IT-II) fuzzy-logic-based shunt converter, with a dual-direction converter enabling power flow from the grid to the EV (G2EV) and from the EV to the grid (EV2G). It incorporates iterative constant current (ICC) regulation for managing Li-ion battery charging and discharging. A fuzzy logic controller (FLC) based on an instantaneous reactive power model is used for the shunt converter, with an enhanced real-coded genetic algorithm (ERGA)-based type-I (IT-I) FLC control. The Performance is evaluated using THD analysis of the source current, and the system response is plotted. Simulations conducted in Matlab demonstrate improved power quality with harmonic distortion within acceptable limits, confirming the effectiveness of the proposed system in optimising EV charging while maintaining grid stability.
  • Power Management of PV-Battery-Based Low Voltage Microgrid Under Dynamic Loading Conditions
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    Journal of the Institution of Engineers India Series B, 2021
  • Real-time Simulations on Ultracapacitor based UPQC for the Power Quality Improvement in the Microgrid
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    Journal of New Materials for Electrochemical Systems, 2021
    Penetration of renewable energy systems (RES) into microgrid (MG) increases rapidly due to the intensified energy demands by the distribution level consumers. To meet this demand, consumers are erecting small scale distribution renewable energy generating systems (DREGS) which mostly constitutes of solar photovoltaic systems. Injecting power from the DREGS to the MG will rise potential problems like real and reactive power distortions, sag/swells which affect the power quality of the system. Voltage sags and swells are normally caused by MG intermittencies which occur at the high power and low energy situations. In order to maintain the power quality of the MG during intermittencies, an ultracapacitor (UC) is integrated along with a unified power quality conditioner (UPQC) with the DREGS is proposed in this paper. Basically, an ultracapacitor is a high power and low energy density device that will compensate the MG intermittencies. This proposed system deals with the control and design aspects of the ultracapacitor, a bidirectional converter for charging and discharging of UC, and a UPQC. The UPQC will act as a dynamic voltage restorer (DVR) for the MG side and an active power filter (APF) for the load side. The proposed system is designed and modelled using Matlab/Simulink platform and the results were analyzed.
  • Comparative analysis of photovoltaic generating systems using particle swarm optimization and cuckoo search algorithms under partial shading conditions
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    Journal Europeen Des Systemes Automatises, 2021
    Received: 2 November 2020 Accepted: 30 January 2021 The energy demand on the electricity grids increased rapidly due to that non-conventional energy sources (NCES) like PV, wind power plants are encouraged to establish and operate with the grid. Out of the available NCES, Photovoltaic generating systems (PVGS) are widely penetrated to the grids. As the output power extracted from the PVGS is non-linear, it becomes fluctuating depending on the available Irradiance (G), Temperature (T), and partial shading conditions (PSC). So, there is a need for the development of maximum power point tracking (MPPT) algorithms in the PVGS for maximizing the output power and minimizing the fluctuations. In this article, a comparative analysis of two advanced MPPT algorithms namely particle swarm optimization algorithm (PSOA) and cuckoo search algorithm (CSA) is presented. These two algorithms are used to control the duty cycle of the boost converter to maximize the PVGS output power. The proposed design is modeled using Matlab/Simulink software and the results were obtained and analyzed.
  • A Novel Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied systems
    R. W. KOTLA, S. R. YARLAGADDA
    Advances in Electrical and Computer Engineering, 2021
    The PV systems connected to the grid will be a very significant renewable energy source in the power systems. Numerous researchers believe that in approaching years major amount of ene ...
  • Modelling and Control of a Three Phase PVGT System
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    Proceedings 2020 IEEE India Council International Subsections Conference Indiscon 2020, 2020
  • Grid tied solar photovoltaic power plants with constant power injection maximum power point tracking algorithm
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    Journal Europeen Des Systemes Automatises, 2020
  • Mathematical modelling of SPV array by considering the parasitic effects
    Rahul Wilson Kotla, Srinivasa Rao Yarlagadda
    SN Applied Sciences, 2020
  • Comparative Analysis of MPPTT Algorithms for PV Grid Tied Systems: A Review
    K.Rahul Wilson, Y.Srinivasa Rao
    2019 2nd International Conference on Intelligent Computing Instrumentation and Control Technologies Icicict 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Learning-Assisted Model Reference Adaptive Control of Unified Power Flow Controller for Enhanced Power Quality
    K Srikanth, S Kunta, RW Kotla, N Anil
    Journal of The Institution of Engineers (India): Series B, 1-16 , 2026
    2026
  • Self-balancing Thirteen-Level Switched Capacitor Inverter with Multi-carrier-Based Phase Disposition PWM Control Scheme
    T Sarada Devi, RW Kotla, E Venkatesh, T Srinivas, B Kavya, C Sairam
    International Conference on Power Engineering and Intelligent Systems (PEIS … , 2026
    2026
  • Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
    RW Kotla, SR Yarlagadda, TS Devi
    Global Energy Interconnection , 2026
    2026
  • Techno economic integrated planning of solar integrated electric vehicle charging infrastructure in India using an AI enabled multi objective planning framework
    RW Kotla, N Anil, J Lagudu, T Dinesh, B Kavya
    Scientific Reports 16 (6393), 1-24 , 2026
    2026
    Citations: 1
  • Grid resilience enhancement of photovoltaic systems via Lyapunov-validated active–reactive power coordination and inverter oversizing
    RW Kotla, S Ganji, J Lagudu, SR Yarlagadda, S Bolli
    Scientific Reports 16 (2460), 1-24 , 2025
    2025
    Citations: 5
  • Enhanced electric vehicle charging topology with integrated fuzzy-based shunt converter
    RW Kotla, SR Yarlagadda, K Mannala, D Sreek, VM Sivarathri
    Acta Polytechnica 65 (3), 296-305 , 2025
    2025
    Citations: 2
  • Performance Evaluation of Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied Systems
    RW Kotla
    Shodhganga INFLIBNET Indian PhD Thesis , 2022
    2022
  • A Novel Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied Systems
    RW Kotla, SR Yarlagadda
    Advances in Electrical and Computer Engineering 21 (3), 81-90 , 2021
    2021
    Citations: 13
  • Real-time simulations on ultracapacitor based UPQC for the power quality improvement in the microgrid
    RW Kotla, SR Yarlagadda
    Journal of New Materials for Electrochemical Systems 24 (3), 166-174 , 2021
    2021
    Citations: 12
  • Power Management of PV-Battery-Based Low Voltage Microgrid Under Dynamic Loading Conditions
    RW Kotla, SR Yarlagadda
    Journal of The Institution of Engineers (India): Series B 102 (4), 797-806 , 2021
    2021
    Citations: 16
  • Comparative Analysis of Photovoltaic Generating Systems Using Particle Swarm Optimization and Cuckoo Search Algorithms under Partial Shading Conditions.
    RW Kotla, SR Yarlagadda
    Journal Européen des Systèmes Automatisés 54 (1) , 2021
    2021
    Citations: 11
  • Modelling and control of a three phase PVGT system
    RW Kotla, SR Yarlagadda
    2020 IEEE India council international subsections conference (INDISCON), 96-101 , 2020
    2020
    Citations: 6
  • Grid Tied Solar Photovoltaic Power Plants with Constant Power Injection Maximum Power Point Tracking Algorithm
    RW Kotla, SR Yarlagadda
    Journal Europeen des Systemes Automatises 53 (4), 567-573 , 2020
    2020
    Citations: 15
  • Design and analysis of PSOA and CSA based MPPT algorithms for partial shading conditions
    RW Kotla, SR Yarlagadda
    Xi’an Jianzhu Keji Daxue Xuebao/Journal of Xi’an University of Architecture … , 2020
    2020
    Citations: 2
  • Mathematical Modelling of SPV Array by Considering the Parasitic Effects.
    RW Kotla, SR Yarlagadda
    SN Applied Sciences 2 (1), 50 , 2020
    2020
    Citations: 20
  • Comparative Analysis of MPPTT Algorithms for PV Grid Tied Systems: A Review
    K Rahul Wilson, Y Srinivasa Rao
    2019 2nd IEEE International Conference on Intelligent Computing … , 2019
    2019
    Citations: 13
  • OPERATION AND CONTROL OF DUAL ACTIVE H-BRIDGE BASED ISOLATED DC-DC CONVERTER
    K Rahul Wilson, Y Srinivasa Rao, D Manikanta Swamy, P Devi Mani Deepika, NHV ...
    Journal of Mechanics of Continua and Mathematical Sciences 14 (6), 712-723 , 2019
    2019
  • EFFECTS OF PARTIAL SHADING ON DIFFERENT STRUCTURES OF SOLAR PHOTOVOLTAIC ARRAYS
    K. Rahul Wilson, Y.Srinivasa Rao
    Journal of Mechanics of Continua and Mathematical Sciences 14 (6), 845-854 , 2019
    2019
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • Mathematical Modelling of SPV Array by Considering the Parasitic Effects.
    RW Kotla, SR Yarlagadda
    SN Applied Sciences 2 (1), 50 , 2020
    2020
    Citations: 20
  • Power Management of PV-Battery-Based Low Voltage Microgrid Under Dynamic Loading Conditions
    RW Kotla, SR Yarlagadda
    Journal of The Institution of Engineers (India): Series B 102 (4), 797-806 , 2021
    2021
    Citations: 16
  • Grid Tied Solar Photovoltaic Power Plants with Constant Power Injection Maximum Power Point Tracking Algorithm
    RW Kotla, SR Yarlagadda
    Journal Europeen des Systemes Automatises 53 (4), 567-573 , 2020
    2020
    Citations: 15
  • A Novel Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied Systems
    RW Kotla, SR Yarlagadda
    Advances in Electrical and Computer Engineering 21 (3), 81-90 , 2021
    2021
    Citations: 13
  • Comparative Analysis of MPPTT Algorithms for PV Grid Tied Systems: A Review
    K Rahul Wilson, Y Srinivasa Rao
    2019 2nd IEEE International Conference on Intelligent Computing … , 2019
    2019
    Citations: 13
  • Real-time simulations on ultracapacitor based UPQC for the power quality improvement in the microgrid
    RW Kotla, SR Yarlagadda
    Journal of New Materials for Electrochemical Systems 24 (3), 166-174 , 2021
    2021
    Citations: 12
  • Comparative Analysis of Photovoltaic Generating Systems Using Particle Swarm Optimization and Cuckoo Search Algorithms under Partial Shading Conditions.
    RW Kotla, SR Yarlagadda
    Journal Européen des Systèmes Automatisés 54 (1) , 2021
    2021
    Citations: 11
  • EFFECTS OF PARTIAL SHADING ON DIFFERENT STRUCTURES OF SOLAR PHOTOVOLTAIC ARRAYS
    K. Rahul Wilson, Y.Srinivasa Rao
    Journal of Mechanics of Continua and Mathematical Sciences 14 (6), 845-854 , 2019
    2019
    Citations: 9
  • Modelling and control of a three phase PVGT system
    RW Kotla, SR Yarlagadda
    2020 IEEE India council international subsections conference (INDISCON), 96-101 , 2020
    2020
    Citations: 6
  • Grid resilience enhancement of photovoltaic systems via Lyapunov-validated active–reactive power coordination and inverter oversizing
    RW Kotla, S Ganji, J Lagudu, SR Yarlagadda, S Bolli
    Scientific Reports 16 (2460), 1-24 , 2025
    2025
    Citations: 5
  • Enhanced electric vehicle charging topology with integrated fuzzy-based shunt converter
    RW Kotla, SR Yarlagadda, K Mannala, D Sreek, VM Sivarathri
    Acta Polytechnica 65 (3), 296-305 , 2025
    2025
    Citations: 2
  • Design and analysis of PSOA and CSA based MPPT algorithms for partial shading conditions
    RW Kotla, SR Yarlagadda
    Xi’an Jianzhu Keji Daxue Xuebao/Journal of Xi’an University of Architecture … , 2020
    2020
    Citations: 2
  • Techno economic integrated planning of solar integrated electric vehicle charging infrastructure in India using an AI enabled multi objective planning framework
    RW Kotla, N Anil, J Lagudu, T Dinesh, B Kavya
    Scientific Reports 16 (6393), 1-24 , 2026
    2026
    Citations: 1
  • Learning-Assisted Model Reference Adaptive Control of Unified Power Flow Controller for Enhanced Power Quality
    K Srikanth, S Kunta, RW Kotla, N Anil
    Journal of The Institution of Engineers (India): Series B, 1-16 , 2026
    2026
  • Self-balancing Thirteen-Level Switched Capacitor Inverter with Multi-carrier-Based Phase Disposition PWM Control Scheme
    T Sarada Devi, RW Kotla, E Venkatesh, T Srinivas, B Kavya, C Sairam
    International Conference on Power Engineering and Intelligent Systems (PEIS … , 2026
    2026
  • Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
    RW Kotla, SR Yarlagadda, TS Devi
    Global Energy Interconnection , 2026
    2026
  • Performance Evaluation of Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied Systems
    RW Kotla
    Shodhganga INFLIBNET Indian PhD Thesis , 2022
    2022
  • OPERATION AND CONTROL OF DUAL ACTIVE H-BRIDGE BASED ISOLATED DC-DC CONVERTER
    K Rahul Wilson, Y Srinivasa Rao, D Manikanta Swamy, P Devi Mani Deepika, NHV ...
    Journal of Mechanics of Continua and Mathematical Sciences 14 (6), 712-723 , 2019
    2019