MAVURI SRI SURESH

@nitandhra.ac.in

Electrical Engineering Department
National Institute of Technology Andhrapradesh

MAVURI SRI SURESH


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https://researchid.co/srisuresh30
5

Scopus Publications

20

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • A Novel Prairie Dog Optimization for Energy Management of Multi-Microgrid System Considering Uncertainty and Load Management
    Sri Suresh Mavuri, Surender Reddy Salkuti
    Designs, 2025
    This study introduces a design-oriented framework for an intelligent Energy Management System (EMS) in a Multi-Microgrid (MMG) environment to achieve efficient, reliable, and sustainable power operation. The proposed EMS is systematically designed to coordinate three interconnected microgrids with the main grid, optimizing Distributed Energy Resource (DER) utilization under uncertain weather, load, and market conditions. A novel Prairie Dog Optimization (PDO) algorithm is developed as a key algorithmic design innovation to enhance decision-making in day-ahead scheduling and load management. Through an optimization-based design approach, the EMS minimizes Energy Generation Cost (EGC) and Probability of Power Supply Deficit (PPSD). Simulation studies on a modified 33-bus system validate the design’s effectiveness, showing that PDO reduces operational cost by 5% and carbon emissions by 20% compared to Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). A better system performance is indicated by the optimal EGC of 0.1567 $/kWh and PPSD of 0.155%. Comprehensively, the PDO-based EMS is an important addition to the design engineering field by offering scalable, adaptive, and sustainable energy system design to the design of resilient and zero-emission MMG architectures to be used in the future in smart grids.
  • Economic scheduling and dispatching of distributed generators considering uncertainties in modified 33-bus and modified 69-bus system under different microgrid regions
    Sri Suresh Mavuri, Jayaram Nakka
    Transactions on Energy Systems and Engineering Applications, 2024
    This paper presents a comprehensive framework for the economic scheduling and dispatching of Distributed Generators (DGs) in modified 33-bus and 69-bus systems across multi-microgrid regions. The framework introduces two key techniques: a novel dispatch strategy for optimizing the charging and discharging of Electric Vehicle (EV) batteries, and a robust power dispatch method for islanded distribution systems. The EV dispatch strategy uses a multi-criteria decision analysis method, Probabilistic Elimination and Choice Expressing Reality (p-ELECTRE), to maximize profits for EV owners while meeting power system requirements. This strategy is tested on fleets of 100 and 200 EVs with random travel plans within the modified 33-bus and 69-bus systems, and employs the BAT Optimization Algorithm (BOA) for optimal power dispatch. The second technique addresses the power dispatch in islanded systems by sectionalizing them into self-supplied microgrids, aiming to minimize operational costs, system losses, and voltage deviation using the Jaya algorithm. Additionally, a multi-objective cost-effective emission dispatch is evaluated using Whale Optimization Algorithm (WOA), showing superior performance over Differential Evolution (DE), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO). Comparative analysis highlights the scalability and adaptability of the proposed approach, making it a valuable tool for efficient microgrid management. Simulation results confirm significant improvements in cost savings, system reliability, and operational efficiency under various uncertainty scenarios.
  • Soft Computing Based Hybrid MPPT for Grid Connected Photovoltaic System
    Thamatapu Eswara Rao, Botta Naidu, J. Ankamma Rao, Getie Tesfaye Zelie, K. Avinash, M. Srisuresh
    1st International Conference on Electronics Computing Communication and Control Technology Iceccc 2024, 2024
    This study proposes a grid-connected photovoltaic (PV) system consisting of a direct current (DC) - direct current (DC) boost converter and voltage source inverter (VSI). Different maximum power extraction techniques was used to obtain the greatest possible power produced by a solar photovoltaic (PV) system. The perturb and observe (P&O), BAT and a novel hybrid combination of BAT-PO chosen as the power tracking technique. The output voltage of the boost converter was regulated and synchronized with a 100 kW PV system to the grid. To increase the PV system's performance, a suitable duty ratio required for the boost converter was tuned effectively by implementing a novel hybrid MPPT technique, that is, BAT-PO algorithm. In addition, the current control technique is implemented in a voltage source inverter to minimize the grid current's harmonics. Maximum power, efficiency, and THD are the indicators used to assess the performance of MPPT algorithms. The proposed system was implemented and tested in MATLAB/Simulink using various MPPT techniques. Among the chosen MPPT algorithms, In terms of maximum power (93.9kW) and THD (0.32%), the BAT-PO hybrid MPPT algorithm performed significantly better than the competition. The major goals of this study are to maximize power and minimize THD.
  • Deep Neural Network Based Intelligent Multi-Microgrid Energy Management
    Sri Suresh Mavuri, Jayaram Nakka, Aswini Kotla
    2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2023, 2023
    In this paper, a Deep Neural Network (DNN)-based efficient interconnected energy management system and Reinforcement Learning (RL) technique are proposed. In this paper being investigated, interconnected M Gs are linked to a main grid, and to maintain local usage of power, they share power from the main grid. The objective from the viewpoint of the distribution system operator (DSO) is to reduce the demand-side peak-to-average ratio (PAR) but also to increase the profit from selling energy. DSO uses a DNN to train the Multi-MG response without having actual access to customer data in order to protect customer privacy. In addition, the DSO optimizes the prediction- based choice by applying the Monte Carlo method of reinforcement learning to determine its selling price strategy. Simulation findings from proposed computation deep learning method and comparison with conventional model-based techniques provide indication for the utility of the proposed method for resolving power system challenges with incomplete or ambiguous information.
  • Interconnected Microgrids: A Review and Future perspectives
    Sri Suresh Mavuri, Jayaram Nakka, Aswini Kotla
    2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
    Interconnected microgrids (MGs) cooperating by means of the distribution system enable the widespread use of the neighborhood accessible distributed energy resources (DERs). This technology greatly improves the reliability and robustness of the power supply. The use of cost-free electricity generated by PV and wind turbines lowers overall energy costs. The most efficient use of DERs can be realized with networked MGs. Putting the concepts of interconnected microgrids (MGs) into effect, on the other hand will take a lot of time and effort. This paper contributes a comprehensive list of the most critical studies on networked MGs. The key benefits and drawbacks of this new and fast-evolving sector have been investigated. In addition, among the most relevant research areas in interconnected MGs have been highlighted, and future prospects have been addressed.

RECENT SCHOLAR PUBLICATIONS

  • Energy management of multi-microgrid systems using a Spotted Hyena Optimization framework under uncertain conditions
    SB Thanikanti, B Aljafari, M Paramasivan
    Engineering Research Express 8 (3), 035316 , 2026
    2026
  • A Novel Prairie Dog Optimization for Energy Management of Multi-Microgrid System Considering Uncertainty and Load Management
    SS Mavuri, SR Salkuti
    Designs 9 (6), 130 , 2025
    2025
    Citations: 1
  • Economic scheduling and dispatching of distributed generators considering uncertainties in modified 33-bus and modified 69-bus system under different microgrid regions
    SS Mavuri, J Nakka
    Transactions on Energy Systems and Engineering Applications 5 (2), 1-22 , 2024
    2024
    Citations: 5
  • Deep neural network based intelligent multi-microgrid energy management
    SS Mavuri, J Nakka, A Kotla
    2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023
    2023
    Citations: 3
  • Interconnected microgrids: A review and future perspectives
    SS Mavuri, J Nakka, A Kotla
    2022 IEEE 2nd International Conference on Sustainable Energy and Future … , 2022
    2022
    Citations: 11
  • Design and Development of Anti-lock braking system for Electric Vehicle
    MMSRIS Ch.Shyamala, D.V.S.Ram Krishna, P.Supriya, G.Sahith
    International Journal of Scientific Research in Engineering and Management … , 2022
    2022
  • Enhancement of solar tracking mechanism using Arduino
    MMSRIS T sneha Nikitha, B.Sai kumar, A.Alekhya
    International Journal of interdisciplinary and multidisciplinary research 6 … , 2021
    2021
  • Enhancement of Power Quality using Dual Unified Power Quality Conditioner by Fuzzy Logic Controller
    AMB Mavuri Sri Suresh
    GVPR Journal of Science Technology and management 2 (1), 116-123 , 2018
    2018
  • A Novel Control for Reduction of Voltage Sag / Swell with Reduced Rating Dynamic Voltage Restorer
    SV Mavuri Sri Suresh
    GVPR Journal of Science Technology and management 1 (1), 212-218 , 2018
    2018
  • Advanced Intelligent Control for Power Quality with Reduced Rating DVR
    SVDA Mavuri sri suresh
    International Journal of Electrical and Electronics Engineers, (ISSN 2321-2055) , 2016
    2016
  • Enhancement of Power Quality for Non- linear loads Using SHPF-TCR Device with Induction Motor
    SVDA Mavuri sri suresh
    proceedings of International Conference on Research Advances in Electrical … , 2016
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Interconnected microgrids: A review and future perspectives
    SS Mavuri, J Nakka, A Kotla
    2022 IEEE 2nd International Conference on Sustainable Energy and Future … , 2022
    2022
    Citations: 11
  • Economic scheduling and dispatching of distributed generators considering uncertainties in modified 33-bus and modified 69-bus system under different microgrid regions
    SS Mavuri, J Nakka
    Transactions on Energy Systems and Engineering Applications 5 (2), 1-22 , 2024
    2024
    Citations: 5
  • Deep neural network based intelligent multi-microgrid energy management
    SS Mavuri, J Nakka, A Kotla
    2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023
    2023
    Citations: 3
  • A Novel Prairie Dog Optimization for Energy Management of Multi-Microgrid System Considering Uncertainty and Load Management
    SS Mavuri, SR Salkuti
    Designs 9 (6), 130 , 2025
    2025
    Citations: 1
  • Energy management of multi-microgrid systems using a Spotted Hyena Optimization framework under uncertain conditions
    SB Thanikanti, B Aljafari, M Paramasivan
    Engineering Research Express 8 (3), 035316 , 2026
    2026
  • Design and Development of Anti-lock braking system for Electric Vehicle
    MMSRIS Ch.Shyamala, D.V.S.Ram Krishna, P.Supriya, G.Sahith
    International Journal of Scientific Research in Engineering and Management … , 2022
    2022
  • Enhancement of solar tracking mechanism using Arduino
    MMSRIS T sneha Nikitha, B.Sai kumar, A.Alekhya
    International Journal of interdisciplinary and multidisciplinary research 6 … , 2021
    2021
  • Enhancement of Power Quality using Dual Unified Power Quality Conditioner by Fuzzy Logic Controller
    AMB Mavuri Sri Suresh
    GVPR Journal of Science Technology and management 2 (1), 116-123 , 2018
    2018
  • A Novel Control for Reduction of Voltage Sag / Swell with Reduced Rating Dynamic Voltage Restorer
    SV Mavuri Sri Suresh
    GVPR Journal of Science Technology and management 1 (1), 212-218 , 2018
    2018
  • Advanced Intelligent Control for Power Quality with Reduced Rating DVR
    SVDA Mavuri sri suresh
    International Journal of Electrical and Electronics Engineers, (ISSN 2321-2055) , 2016
    2016
  • Enhancement of Power Quality for Non- linear loads Using SHPF-TCR Device with Induction Motor
    SVDA Mavuri sri suresh
    proceedings of International Conference on Research Advances in Electrical … , 2016
    2016