Chilakapati Lenin Babu

@svuniversity.edu.in

Research Scholar, Department of EEE, S V U College of Engineering, Sri Venkateswara University, Tirupati
Sri Venkateswara University

Chilakapati Lenin Babu


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https://researchid.co/lenin_engg

EDUCATION

PH.D. (FULL - TIME)

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Control and Systems Engineering
13

Scopus Publications

69

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • AN ENHANCED DISTRIBUTION SYSTEM PERFORMANCE WITH OPTIMIZATION TECHNIQUES FOR LOCATION OF ELECTRICAL VEHICLE CHARGING STATIONS
    Sainadh Singh Kshatri, Anjani Kumar G Venkata, Chilakapati Lenin Babu, Palepu Suresh Babu
    Journal of Engineering and Technology for Industrial Applications, 2025
    This study introduces a novel strategy for strategically placing of Electric Vehicle Charging Stations (EVCS) within a distribution power network towards minimizing power losses. The proposed methodology leverages the Grey Wolf Optimization (GWO) metaheuristic algorithm, enthused by the grey wolves hunting, to identify the most strategic locations for EVCSs. The effectiveness of the GWO-based approach is rigorously evaluated using the IEEE-33 bus system, a standard benchmark in distribution system analysis. The GWO algorithm's performance is evaluated in comparison to that of the prevalent Particle Swarm Optimization (PSO) methodology. The study analyzes system voltage levels in relation to the nominal voltage, ensuring compliance with operational limits. The results demonstrate the GWO algorithm's superiority in minimizing power losses and enhancing voltage profiles across the distribution network. Furthermore, a probabilistic assessment is conducted to evaluate the robustness of the optimal EVCS placement under uncertain EV charging patterns. This analysis considers the stochastic nature of EV charging behavior, providing insights into the strategy's resilience to real-world variations. The proposed GWO-based optimization strategy offers a significant contribution to make power distribution infrastructure more dependable and efficient in order to handle the growing number of EVs. By minimizing power losses and optimizing voltage profiles, the strategy reduces operational costs and improves the overall stability of the grid. The probabilistic assessment further strengthens the strategy's practicality by accounting for the inherent uncertainties in EV charging demands. This research provides valuable insights for distribution system operators and planners seeking to integrate EVCSs effectively while maintaining system performance.
  • Power Quality Improvement in a Grid Connected Solar-PV System with Adaptive Neuro-Fuzzy Controller Based UPQC
    Lenin Babu Chilakapati, Gowri Manohar T
    International Research Journal of Multidisciplinary Technovation, 2025
    Power quality (PQ) problems are frequently encountered in power grids, and these problems become more severe as the number of devices increases. Therefore, one of the primary responsibilities of utility systems remains to supply people with electricity by standard sinusoidal voltage and current configurations at appropriate amplitudes and frequencies adjoining the point of common connection (PCC). This research examines a solar-photovoltaic (PV) coordinated unified power quality controller (UPQC) to enhance the PQ in the distribution grid network. This paper proposes a UPQC control method relied on the Adaptive Leakage Least Mean Square (AL_LMS) algorithm. This approach uses both the Adaptive Neural Fuzzy Inference System (ANFIS) controller and Proportional-Integral (PI) controller to compare between the serial and shunted active converter switching of UPQC. The technique switches the UPQC's shunt and series voltage source converters (VSCs) to obtain a reference signal through iterative weight update. Through iterative weight update, the method obtains a reference signal by switching the shunted and serial VSCs of the UPQC. Therefore, the PQ disturbances such as load voltage drop and ripple and harmonic distortion of the grid’s current are abridged after the control technology is applied to the solar PV-UPQC. Conferring to the simulation results, the proposed ANFIS control AL_LMS algorithm stands the utmost operative in improving the PQ after applied to the solar-PV sourced UPQC, while complying with the IEEE-519 standards. The work was done in using MATLAB/Simulation software.
  • PERFORMANCE ASSESSMENT OF A MULTI-VERSE OPTIMIZER BASED SOLAR-PV INVERTER FOR GRID CONNECTED APPLICATIONS
    venkata anjani kumar G, Damodar Reddy M, Lenin Babu Chilakapati, suresh palepu
    Journal of Engineering and Technology for Industrial Applications, 2025
    As the need for renewable energy has increased over the preceding decade or so, grid connected Photovoltaic (PV) systems have grown in prominence. Effective control strategies have become vital role in ensuring the optimal performance of these systems, particularly in the sense of Power Quality (PQ), efficiency, and grid synchronization. Hence, this paper proposes a Multi-Verse Optimizer (MVO) based inverter controlling stratage for enhancing the concert of a grid connected PV system. The MVO algorithm is employed to determine optimal gain values for both the current and voltage controllers of the PV inverter. The anticipated MVO-based controller is rigorously evaluated through MATLAB/ Simulink, considering key performance indicators such as grid current total harmonic distortion (THD), grid’s voltage and current, and PV’s voltage and current. With the aim of demonstrating the effectiveness of the suggested technique, a comparative study is carried out using a 3.5 kW grid connected PV system test case, benchmarking the MVO-based controller in contradiction to an Ant Lion Optimizer (ALO) based controller. The simulation outcomes conclusively validate the superior demonstration of the proposed technique as compared to ALO controller across all evaluated cases, highlighting its capability to achieve notable improvements in grid-connected PV system performance.
  • Smart Grid-Optimized Bidirectional EV Charging: A Hybrid Metaheuristic Approach
    K Yamuna, B SreenivasReddy, V Raveendra Reddy, Ch. Lenin Babu, K Sudheer
    3rd IEEE International Conference on Industrial Electronics Developments and Applications Icidea 2025, 2025
    Smart grid with electric vehicle (EV) integration changes the pace of the new age power system. The bidirectional power flow is the major pros of modern smart grid. When EV connected to the local home electrical grid, the charger functions using a metaheuristic control. Additionally, the charger is constructed and maintained to function effectively under EV-smart grid integration. Electric vehicles' (EVs’) ideal charge-discharge performance is one way to improvise such consumer involvement. For the best performance of EVs in smart grid, this research presents a hybrid Meta heuristic approach that clubs the gravitational search algorithm and particle swarm optimization. Matlab/Simulink is used to simulate the entire system, and the outcomes of each case's operation are displayed along with a management system for these various working scenarios. The review and evaluation of the simulation results demonstrate that they adhere to current requirements for power quality.
  • AI2: An AI-based IoT Smart Pollination Monitoring Model for Sustainable Agricultural Activities
    M Sahaya Sheela, G. Brenda, S Sudha, V Nirmalkumar, K. Rajalakshmi, Chilakapati Lenin Babu
    Proceedings of the 9th International Conference on Inventive Systems and Control Icisc 2025, 2025
    In maintaining ecosystem balance and ensuring high agricultural yields, pollination is considered as the critical factor. But, due to different factors like habitat loss, climatic change, and pesticide use, there is a decline in natural pollinators which inturn affects the food production. So, this paper proposes an AI-integrated smart IoT pollination monitoring model for sustainable agriculture activities. The AI2 framework makes use of Wi-Fi connected environment sensors, motion detectors, and AI-based image processing to track the pollination activity and optimize the pollination conditions. Real-time data like humidity, temperature, and pollinator visits are collected by the system and transmitted to the cloud-based analytics platform. A fusion of Fast R-CNN and XGBoost algorithm is used in detection & classification of pollinators, and analyzing multiple environmental factors. This proposed <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{AI}^{2}$</tex> model aims at improving the crop yields, support biodiversity and thus creates a sustainable smart agriculture ecosystem. Experimental findings on an open access dataset demonstrate the approach in enhancing pollination efficiency, and in mitigating the risk of pollinator decline. The proposed model attained an pollination efficiency of 85 % which is 20 % greater than the conventional approaches. Finally, the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{AI}^{2}$</tex> model outperformed models like YOLO, RNN, ResNet-50 with 89% accuracy in pollination classification, F1-score of 88 %, and 86 % in pollination detection efficiency.
  • Fopid Controllers Based Forward DC to DC Converter With Modified Osprey Optimization Algorithm for MPPT of PV System Under Partial Shading Conditions
    Naveen Kumar Bind, K. Krishnaveni, Burada Sankara Rao, Vikrant Singh, Sadu Munisekhar, Neel Kamal, Ch. Lenin Babu
    1st International Conference on Advances in Computer Science Electrical Electronics and Communication Technologies Ce2ct 2025, 2025
    Everywhere, electric power is needed for a variety of functions and tasks. Creating electric power through renewable resources, like solar energy, is a practical way to solve a lot of issues. Typically, photovoltaic modules use solar radiation to generate electricity. To guarantee maximum usage or optimal efficiency, a photovoltaic system must be equipped with a maximum power point tracking converter (MPPTC). In this paper, a DC to DC forward converter is chosen to function as MPPTC. For MPPTC under uniform sun irradiances, a variety of traditional methods are available, such as incremental conductance, perturb, and observe. However, trees, shade, dust, birds, clouds, and other factors will cause photovoltaic modules - of which many are coupled to make a power production unit - to receive non-uniform irradiances. The system enters a partial shading condition (PSC) as a result of this event. Conventional algorithms may be failed to approach the maximum utilization point to increase energy extraction under PSC. Therefore, to operate the power unit at its optimal usage under the situation of PSC, an optimization method is needed. In this study on MPPTC, an optimization method called the “Modified Osprey Optimization Algorithm (MOOA)” is designed to gather more energy during PSCs. This research also compares MOOA, Modified Invasive Weed Optimization (MIWO), Modified Grey Wolf Optimization (MGWO), and Whale Optimization Algorithm (WOA). OPALRT technology is used to create the Hardware-in-the-Loop, which gathers diverse outcomes for analysis under different operations.
  • Power Quality Enhancement in a Grid-Integrated Solar-PV System with a Hybrid UPQC Control Strategy
    Lenin Babu Chilakapati, T. Gowri Manohar
    Solar Energy and Sustainable Development, 2024
    The supply grid network has been periodically experiencing frequent problems with Power Quality (PQ), and these problems have gotten worse over time due to the rise of electrical appliances. Thus, supplying consumers with electricity in the custom of sinusoidal voltages and currents that have adequate magnitudes and frequencies near the common point of coupling (PCC) stays one of the Utility system's main responsibilities. Thus, in order to improve PQ in the supply grid network, this article examines the practice of solar-PV coordinated Unified Power Quality Conditioner (UPQC). By means of optimizing the utilization of solar energy and improving PQ, the Solar-PV fed UPQC contributes clean, renewable energy to the grid and solves environmental problems at the same time. This study presents Adaptive Leaky Least Mean Square (AL_LMS) algorithm-based control techniques for UPQC, which include both traditional Proportional-Integral (PI) and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers for UPQC series and shunt active converter switching. This method gets the reference signals with switching on the shunt and series voltage source converters (VSCs) of UPQC by means of iteratively updation of the weights. Accordingly, PQ consternations for instance, voltage sag and swell of load voltage and harmonic distortions of grid current are reduced when control techniques have been applied to solar-PV fed UPQC. This work is carried out in MATLAB/Simulation software, and also the results of simulations demonstrate that the suggested ANFIS controlled AL_LMS algorithm is the most effective at improving power quality while adhering to IEEE-519 Standards when applied to a solar-PV fed UPQC.
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy coordinated Microgrid - A Comprehensive Review
    Ch Lenin Babu, T Gowri Manohar
    Iop Conference Series Earth and Environmental Science, 2024
    Renewable Energy technologies are becoming more and more common for generating electricity because they are environmentally friendly and can meet local electricity needs. They reduce network congestion and also lighten the load on conventional based power plants. Over the past few decades, grid-connected renewable energy systems have seen a rise in the significance of Power Quality issues, particularly as a result of the extensive usage of nonlinear electronics and the intermittent nature of these systems. With the emergence of power electronic converters through powerful control technology, renewable energy systems be interconnected to a large extent with the power grid or used as isolation systems in remote areas. Using additional competent control strategies can enhance not only improve the concert of these systems, but also caliber the quality of energy generated, distributed and used at the load side of Power System. Hence, this paper reviews various control strategies adopted for alleviation of power quality staples of renewable energy coordinated microgrid system and further recommendations are provided to solve power quality issues as future research.
  • Microgrid Power Quality Enhancement with Adaptive Control Strategies: A Literature Survey
    Lenin Chilakapati
    Przeglad Elektrotechniczny, 2024
    Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną.
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy Coordinated Microgrid—A Comprehensive Review
    Chilakapati Lenin Babu, T. Gowri Manohar
    Lecture Notes in Civil Engineering, 2024
  • Control Strategies for Enhancing Power Quality with Unified Power Quality Conditioner in a Solar-PV Integrated Utility System
    Lenin Babu Chilakapati, T. Gowri Manohar
    International Journal of Experimental Research and Review, 2023
  • An Improved Power Quality in a Renewable Energy-based Microgrid System Using Adaptive Hybrid UPQC Control Strategy
    Chilakapati LeninBabu, Tenepalli GowriManohar
    International Journal of Experimental Research and Review, 2023
  • Voltage disturbance mitigation in distribution system using fm-dq control based dvr
    International Journal of Advanced Science and Technology, 2020

RECENT SCHOLAR PUBLICATIONS

  • AI 2 : An AI-based IoT Smart Pollination Monitoring Model for Sustainable Agricultural Activities
    MS Sheela, G Brenda, S Sudha, V Nirmalkumar, K Rajalakshmi, CL Babu
    2025 9th International Conference on Inventive Systems and Control (ICISC), 1-7 , 2025
    2025
  • An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations
    SS Kshatri, CL Babu, PS Babu
    ITEGAM-JETIA 11 (54), 53-59 , 2025
    2025
  • An Artificial Neural Network Control Based Unified Power Quality Conditioner for a Renewable Energy Coordinated Distribution System
    CL Babu, TG Manohar
    NIPES-Journal of Science and Technology Research 7 (3), 19-30 , 2025
    2025
  • A Revolutionary Approach to Capturing and Storing Lightning Energy for Sustainable Power Generation
    CL Babu, K Gracemary
    International Journal of Emerging Technologies for Mankind 1 (1), 35-49 , 2025
    2025
  • Performance Assessment of a Multi-Verse Optimizer-Based Solar-PV Inverter for Grid-Connected Applications
    D Reddy, LB Chilakapati
    ITEGAM-JETIA 11 (51), 151-156 , 2025
    2025
    Citations: 1
  • Smart Grid-Optimized Bidirectional EV Charging: A Hybrid Metaheuristic Approach
    K Yamuna, B SreenivasReddy, VR Reddy, CL Babu, K Sudheer
    2025 3rd IEEE International Conference on Industrial Electronics … , 2025
    2025
    Citations: 1
  • Fopid Controllers Based Forward DC to DC Converter With Modified Osprey Optimization Algorithm for MPPT of PV System Under Partial Shading Conditions
    NK Bind, K Krishnaveni, BS Rao, V Singh, S Munisekhar, N Kamal, ...
    2025 First International Conference on Advances in Computer Science … , 2025
    2025
    Citations: 17
  • Power Quality Improvement in a Grid Connected Solar-PV System with Adaptive Neuro-Fuzzy Controller Based UPQC
    LB Chilakapati, TG Manohar
    International Research Journal of Multidisciplinary Technovation 7 (1), 264-279 , 2025
    2025
    Citations: 6
  • Performance Analysis of Power Electronic Converters for Battery Charging with Solar MPPT Charging Conditions
    R.Sai Kesava, J.N. Chandra Sekhar, Ch. Lenin Babu
    International Journal of Scientific Research in Science, Engineering and … , 2025
    2025
  • PERFORMANCE ASSESSMENT OF A MULTI-VERSE OPTIMIZER-BASED SOLAR-PV INVERTER FOR GRID-CONNECTED APPLICATIONS
    LB CHILAKAPATI, S PALEPU
    ITEGAM Учредители: GN1 Sistemas e Publicacoes Ltd. 11 (51) , 2025
    2025
  • Power quality enhancement in a grid-integrated solar-PV system with a hybrid UPQC control strategy
    LB Chilakapati, TG Manohar
    Solar Energy and Sustainable Development Journal 13 (2), 120-137 , 2024
    2024
    Citations: 9
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy coordinated Microgrid-A Comprehensive Review
    CL Babu, TG Manohar
    IOP Conference Series: Earth and Environmental Science 1382 (1), 012004 , 2024
    2024
    Citations: 3
  • Microgrid-A Comprehensive Review
    CL Babu, TG Manohar
    Proceedings from the International Conference on Hydro and Renewable Energy … , 2024
    2024
  • Proceedings from the International Conference on Hydro and Renewable Energy
    BM Hodge, SK Prajapati
    2024
  • Microgrid power quality enhancement with adaptive control strategies: A literature survey
    LB Chilakapati, TG Manohar
    Przegląd Elektrotechniczny 100 , 2024
    2024
    Citations: 7
  • Control strategies for enhancing power quality with unified power quality conditioner in a solar-PV integrated utility system
    LB Chilakapati, TG Manohar
    International Journal of Experimental Research and Review 35, 1-15 , 2023
    2023
    Citations: 11
  • An improved power quality in a renewable energy-based microgrid system using adaptive hybrid UPQC control strategy
    CL Babu, TG Manohar
    International Journal of Experimental Research and Review 36, 217-231 , 2023
    2023
    Citations: 11
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy Coordinated Microgrid—A Comprehensive Review
    C Lenin Babu, T Gowri Manohar
    International Conference on Hydro and Renewable Energy, 417-428 , 2022
    2022
  • Voltage Disturbance Mitigation in Distribution System Using FM-DQ control based DVR
    K Lenin Babu, C., Purushotham, G., Suresh, P., Sudheer
    International Journal of Advanced Science and Technology 29 (4), 785-790 , 2020
    2020
  • ANALYSIS AND IMPLEMENTATION OF D-SSVR FOR LOAD FLOW SOLUTION IN RADIAL DISTRIBUTION SYSTEMS
    CL Babu, GH Reddy, PV Kumar
    Global Journal of Engineering Science and Research Management 4 (5), 136-144 , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Fopid Controllers Based Forward DC to DC Converter With Modified Osprey Optimization Algorithm for MPPT of PV System Under Partial Shading Conditions
    NK Bind, K Krishnaveni, BS Rao, V Singh, S Munisekhar, N Kamal, ...
    2025 First International Conference on Advances in Computer Science … , 2025
    2025
    Citations: 17
  • Control strategies for enhancing power quality with unified power quality conditioner in a solar-PV integrated utility system
    LB Chilakapati, TG Manohar
    International Journal of Experimental Research and Review 35, 1-15 , 2023
    2023
    Citations: 11
  • An improved power quality in a renewable energy-based microgrid system using adaptive hybrid UPQC control strategy
    CL Babu, TG Manohar
    International Journal of Experimental Research and Review 36, 217-231 , 2023
    2023
    Citations: 11
  • Power quality enhancement in a grid-integrated solar-PV system with a hybrid UPQC control strategy
    LB Chilakapati, TG Manohar
    Solar Energy and Sustainable Development Journal 13 (2), 120-137 , 2024
    2024
    Citations: 9
  • Microgrid power quality enhancement with adaptive control strategies: A literature survey
    LB Chilakapati, TG Manohar
    Przegląd Elektrotechniczny 100 , 2024
    2024
    Citations: 7
  • Power Quality Improvement in a Grid Connected Solar-PV System with Adaptive Neuro-Fuzzy Controller Based UPQC
    LB Chilakapati, TG Manohar
    International Research Journal of Multidisciplinary Technovation 7 (1), 264-279 , 2025
    2025
    Citations: 6
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy coordinated Microgrid-A Comprehensive Review
    CL Babu, TG Manohar
    IOP Conference Series: Earth and Environmental Science 1382 (1), 012004 , 2024
    2024
    Citations: 3
  • Adaptive Control and Power Management in a Microgrid by using Distribution Grids
    KPK C. Ganesh, Ch. Lenin Babu
    Indian Journal of Science and Technology 8 (30), 1 - 8 , 2015
    2015
    Citations: 3
  • Performance Assessment of a Multi-Verse Optimizer-Based Solar-PV Inverter for Grid-Connected Applications
    D Reddy, LB Chilakapati
    ITEGAM-JETIA 11 (51), 151-156 , 2025
    2025
    Citations: 1
  • Smart Grid-Optimized Bidirectional EV Charging: A Hybrid Metaheuristic Approach
    K Yamuna, B SreenivasReddy, VR Reddy, CL Babu, K Sudheer
    2025 3rd IEEE International Conference on Industrial Electronics … , 2025
    2025
    Citations: 1
  • AI 2 : An AI-based IoT Smart Pollination Monitoring Model for Sustainable Agricultural Activities
    MS Sheela, G Brenda, S Sudha, V Nirmalkumar, K Rajalakshmi, CL Babu
    2025 9th International Conference on Inventive Systems and Control (ICISC), 1-7 , 2025
    2025
  • An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations
    SS Kshatri, CL Babu, PS Babu
    ITEGAM-JETIA 11 (54), 53-59 , 2025
    2025
  • An Artificial Neural Network Control Based Unified Power Quality Conditioner for a Renewable Energy Coordinated Distribution System
    CL Babu, TG Manohar
    NIPES-Journal of Science and Technology Research 7 (3), 19-30 , 2025
    2025
  • A Revolutionary Approach to Capturing and Storing Lightning Energy for Sustainable Power Generation
    CL Babu, K Gracemary
    International Journal of Emerging Technologies for Mankind 1 (1), 35-49 , 2025
    2025
  • Performance Analysis of Power Electronic Converters for Battery Charging with Solar MPPT Charging Conditions
    R.Sai Kesava, J.N. Chandra Sekhar, Ch. Lenin Babu
    International Journal of Scientific Research in Science, Engineering and … , 2025
    2025
  • PERFORMANCE ASSESSMENT OF A MULTI-VERSE OPTIMIZER-BASED SOLAR-PV INVERTER FOR GRID-CONNECTED APPLICATIONS
    LB CHILAKAPATI, S PALEPU
    ITEGAM Учредители: GN1 Sistemas e Publicacoes Ltd. 11 (51) , 2025
    2025
  • Microgrid-A Comprehensive Review
    CL Babu, TG Manohar
    Proceedings from the International Conference on Hydro and Renewable Energy … , 2024
    2024
  • Proceedings from the International Conference on Hydro and Renewable Energy
    BM Hodge, SK Prajapati
    2024
  • Control Strategies for Mitigating Power Quality Issues in Renewable Energy Coordinated Microgrid—A Comprehensive Review
    C Lenin Babu, T Gowri Manohar
    International Conference on Hydro and Renewable Energy, 417-428 , 2022
    2022
  • Voltage Disturbance Mitigation in Distribution System Using FM-DQ control based DVR
    K Lenin Babu, C., Purushotham, G., Suresh, P., Sudheer
    International Journal of Advanced Science and Technology 29 (4), 785-790 , 2020
    2020