Bikash Kumar Saw

@nitdgp.ac.in

Research Scholar, Department of Electrical Engineering
National Institute of Technology Durgapur

Bikash Kumar Saw


                     Download Compact PDF  
https://researchid.co/jaimatarani
Bikash Kumar Saw currently pursuing PhD at the Department of Electrical Engineering, National Institute of Technology Durgapur, India.

EDUCATION

Ph.D.
Electrical Engineering
NIT Durgapur, India,
2024 (Pre-Synopsis Submitted)
Dissertation Topic: Techno-Enviro-Economic Analysis of Distribution Network with Impacts of DG, DSTATCOM and Reconfiguration Considering Different Loads
Advisor: Dr. A. K. Bohre

M.Tech.
Electrical Engineering
(Power System Engineering)
IIT (ISM) Dhanbad, India,
2016
Thesis Topic: Modelling & Simulation of a Grid Connected Doubly Fed Induction Generator Coupled with Wind Turbine For WECS.
Advisor: Dr. D. V. Bhaskar

B.E.
Electrical & Electronics Engineering
Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India, 2012
Project Topic: Automatic Braking System
Advisor: Prof. Ashok Jhala

Intermediate of Science
Jharkhand Academic Council Ranchi,
S. S. Inter College Chas, Bokaro
2008

Matriculation
Jharkhand Academic Council
Ranchi,
S M J High School Bijulia
2006

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy, Energy Engineering and Power Technology, Engineering
22

Scopus Publications

186

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Solar Integrated DSTATCOM Based Charging-Stations Planning for EVs Addressing Sustainable Development Goals: Techno-Economic and Environmental
    Bikash Kumar Saw, Aashish Kumar Bohre
    IEEE Transactions on Industry Applications, 2026
    The prompt growth of EVs and their deployment with remarkable greeting in humanity enforced the power system to enlarge because of the surge in demand for power during EV charging and its uncertain charging nature. The incorporation of Solar-Renewable Energy has increased to meet this increased demand. Hence, owing to the inappropriate incorporation of Solar-RE based Distributed Generations (DGs), the system becomes disturbed with increased losses, voltage profile imbalance, poor fault tolerance capability, and reliability issues. Also, it is terrible to fulfill the increased reactive demand of the Distribution Network (DN) by these DGs. Therefore, in this work, to address these issues, the appropriate planning of Solar-RE Integrated DSTATCOM based Charging Stations for EVs with ZIP Load Model is offered in view of the Sustainable Development Goals: Techno-Economic and Environmental challenges. The presented work's effectiveness is established on a 33-bus IEEE DN using PSO and TLBO by optimizing the TEE. The considered techno parameters of the DN are Active Loss (DNP<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</sub>), Reactive Loss (DNQ<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</sub>), Voltage Deviation (DNV<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</sub>), Level of Line Short-Circuit/Fault Current (DNLL<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FC</sub>), and Service Reliability (DNS<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</sub>) which makes up the Multiple-Objective Fitness Problem (MO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FP</sub>). Similarly, the economic and environmental parameters are the Cost for Fixed Capital Recovery (C<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FCR</sub>), Cost for Energy Lost (C<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">EL</sub>), Cost for Energy Not Delivered/Supplied (C<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ENS</sub>), and Environmental Particle Emission (EPE). The planning of SID based CSEV by addressing the SDG concerns is the presented work's unique contribution and novelty. Hence, the result analysis reveals that the proposed Scenario Study-4 (SS4) is superior to SS1, SS2, and SS3 for all LM cases and other existing literature work from SDG challenges viewpoints.
  • Enhancing Distribution System Resiliency Through Techno-Economic Planning of DG & SOP using Optimization with Reconfigurations
    Hemant Patel, Aashish Kumar Bohre, Omkar Yadav, Bikash Kumar Saw
    IEEE Transactions on Industry Applications, 2026
    Modern power distribution networks are increasingly exposed to extreme events, cyberattacks, and stochastic load variations, thereby necessitating enhanced resiliency and reliability for sustainable operation. Distributed Generation (DG) and Soft Open Points (SOP) offer potential remedies to improve efficiency and operational flexibility; however, their combined impact under stochastic scenario conditions remains insufficiently explored. To address this gap, a multi-objective optimization framework is developed that incorporates six key performance indices: active and reactive power losses, voltage deviation, short-circuit current, reliability, and resilience. The formulated problem is solved using PUMA Optimization (PO) and Teaching–Learning-Based Optimization (TLBO) algorithms. The effectiveness of the proposed methodology is validated on IEEE 33-bus and 118-bus radial distribution systems (RDS) under both normal and contingency scenarios. Simulation results demonstrate that optimal integration of DG and SOP significantly reduces power losses, enhances voltage profiles, and improves overall system resilience and reliability. Furthermore, the PO algorithm consistently outperforms the TLBO in terms of convergence characteristics and in achieving superior trade-offs among conflicting objectives. Reliability assessment confirms a substantial reduction in service interruptions while maintaining a high system reliability level. From an economic perspective, the proposed approach ensures effective resource allocation and loss minimization, resulting in significant cost savings and enhanced benefit performance. Overall, integrating DG and SOP using the PO algorithm provides a robust, effective, and scalable solution for modern distribution networks. Additionally, the proposed framework promotes efficient resource use and the Sustainable Development Goals (SDGs), helping to achieve SDGs 7 (Affordable and Clean Energy) and 12 (Responsible Consumption and Production).
  • Sustainable Deployment of EV Charging Stations in Distribution Network Supported With Hybrid Solar-DG Integrated DSTACOM
    Bikash Kumar Saw, Aashish Kumar Bohre
    IEEE Transactions on Industry Applications, 2025
    The rapid development of EVs and their mobilization with great acceptance in society forced the power system to expand because of the increase in demand for power during EV charging and its uncertain charging nature. The integration of solar energy has increased to meet this increased demand. Hence, due to the inappropriate integration of Solar-based Distributed Generations, the system gets unbalanced with increased losses, voltage profile imbalance, poor fault tolerance capability, and reliability issues. Also, it is impossible to fulfill the increased reactive power demand of the Distribution Network by these DGs. Therefore, in this work, to address these issues, the appropriate planning of hybrid Solar-DG Integrated DSTATCOM in a reconfigured DN with Exponential Load Model (Exp<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LM</sup>), including EV Charging Station load impacts, is presented considering the Sustainable Development Goals: Techno-Enviro-Economic challenges. The presented work's effectiveness is established on a modernized practical 33-bus DN using APSO, GWO-PSO, TLBO, and HBA by optimizing the TEE parameters. The considered techno parameters of the DN are Active Power Loss, Reactive Power Loss, Voltage Deviation, Level of Line Fault Current, and Service Reliability, which makes up the Multiple-Objective Fitness Problem. Similarly, the economic and enviro performance parameters are the Cost for Slack Bus Generation, Cost for Fixed Capital Recovery, Cost for Energy Lost, Cost for Energy Not Supplied, Total Cost, Cost for Solar-DG Integrated DSTATCOM, Saving Cost, Pay Back Period, and Environmental Particle Emission. By addressing the TEE challenges, the three key emerging SDGs have been addressed which are SDG 7, SDG 12, and SDG 15. Hence, the planning of SID in a reconfigured DN with Exp<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LM</sup>, considering EVCS load impacts by addressing the SDG concerns in a multi-objective environment, is the presented work's unique contribution and novelty.
  • Techno-Economic and Environmental Benefit Analysis of PV and D-FACTS-Enriched Modern Electric Distribution Grid with Practical Loads
    Bikash Kumar Saw, Aashish Kumar Bohre
    International Journal of Computing and Digital Systems, 2024
    In the current era, expansion in the power system has led to an increase in the Distributed Generation (DG) planning to accomplish the increase in demand.Hence because of the opted DG's inappropriate planning, the system gets unbalanced with an increase in losses, voltage profile imbalance along with reliability issues.Here, the modernized IEEE 69-bus network is considered for appropriate DG's planning.In this study, one important factor, which is the Line Fault Current Level (LFC Level ) along with Real & Reactive Losses (R Loss & Q Loss ), Voltage Deviation Profile (V DP ), and Network Reliability (R N ), is considered as an index in the objective function, which makes the proposed Multi-Objective Function (MOF) a novel MOF (nMOF).The cost-economic and Pollutant Gas Emissions (PGE) parameters are also examined in accordance with this nMOF optimized outcomes.In the proposed study, the DG's (PV and D-FACTS) are planned optimally with reconfiguration incorporating practical loads (industrial, commercial, and residential) using an Adaptive Particle-Swarm Optimization (APSO) approach through coding in MATLAB software.Then the techno-economic and environmental-benefit analysis of the outcomes reveals that the R Loss , Q Loss , cost, and PGE are reduced by 96.58 %, 94.39 %, 78.02 %, and 92.58 % with an improved balanced profile of voltage, LFC Level , and R N .
  • Multi DG Planning with Impact of Mixed-Load Models using Intelligent Methodologies: BF-PSO, PSO and GA
    Bikash Kumar Saw, Aashish Kumar Bohre
    2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
    This study presents an optimal planning approach for multi-Distributed Generations (DGs) in a mixed load model, encompassing constant, industrial, residential, and commercial loads. The optimization is performed using intelligent algorithms, namely BF-PSO, PSO, and GA. The IEEE 15-bus DS is utilized to validate the proposed approach, where an innovative Multi-Objective Function (iMOF) is employed, considering diverse system indices for performance evaluation. The iMOF comprises $Real^{\\text {Loss }}$, $Reactive^{\\text {Loss }}$, and $\\mathbf{V D}^{\\text {Profile }}$ indices. By strategically allocating single and multiple DGs as power sources at optimal locations, the proposed BFPSO method demonstrates improved system performance compared to basic PSO and GA in terms of losses, voltage profiles, and reliability.
  • Distribution System Enhancement via Renewable-DG based D-STATCOM Allocation in the Presence of EV Charging-Stations
    Bikash Kumar Saw, Aashish Kumar Bohre
    2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
    Rapid technological advancements in various sectors drive the increasing adoption of DG. With this rise in DG utilization to meet the demand for real power, there is also a growing need for reactive power. Therefore, this study introduces a planning approach for Renewable-DG based DSTATCOM to meet the growing requirements for both real and reactive power. Also, the impacts of EVCS integration have been considered. The efficacy of this approach is assessed on an IEEE 85-bus Distribution System (DS) using Sine-Cosine Algorithm (SCA) based on an innovative Multi-Objective Function (iMOF). The iMOF considers Real Loss (RealLoss), Reactive Loss (ReactiveLoss), and Voltage-Deviation Profile (VDProfile). Three Scenario Analysis (SA) are presented to analyze the results, with SA3 demonstrating superior technical benefits, computation, and convergence performance. This research provides insights into the potential of the planning methodology and its positive impact on integrating Renewable-DG based D-STATCOM with EVCS into DS.
  • Hybrid Renewable PV-DG with DSTATCOM Planning in Reconfigured Distribution Network for Techno-Economic Analysis
    Bikash Kumar Saw, Aashish Kumar Bohre
    2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2023, 2023
    The penetration of renewable Photo-Voltaic Distributed Generation (PV-DG) is growing every day because of the current technological evolution in all sectors of society. These evolutions also propose a demand for reactive power. Therefore, to fulfill the increased active & reactive power demand, the scheduling of hybrid PV-DG with DSTATCOM in a reconfigured network is presented in this work. The efficacy of this work is established on a 33-bus IEEE Distribution Network (DN) using TLBO based on a Multi-Objective Minimization Problem (MOMP). This MOMP consists of Active-Power-Loss (APL), Reactive-Power-Loss (RPL), Voltage-Profile-Deviation (VPD), Line Fault Current Level (LFCL), and DN Reliability (DNR). The parameters related to economic benefits are also considered and analyzed such as the Cost of Fixed-Capital-Recovery (CFCR), Cost of Energy-Lost/Loss (CEL), and Cost of Energy-Not-Supplied/Delivered (CENS). To analyze the results three scenario studies are presented, in which it is found that the scenario study-3 performs superior in the perspective of techno-economic benefits, computation, and convergence.
  • Simultaneous Planning of Active and Reactive DGs with Mixed-Load Model using Innovative Techniques: A Comparative Analysis
    Bikash Kumar Saw, Aashish Kumar Bohre
    2023 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Power Electronics Smart Grid and Renewable Energy for Sustainable Development Pesgre 2023, 2023
    This research introduces an effective planning strategy for optimizing the deployment of multi-Distributed Generations (DGs) within a mixed load model, encompassing constant, industrial, residential, and commercial loads. The optimization process leverages intelligent algorithms, specifically TLBO, APSO, and PSO. To validate this approach, the IEEE 69-bus Distribution System (DS) is employed. A Multi-Objective Function (MOF) is integrated, which incorporates a range of system indices for comprehensive performance assessment, including RealLoss, ReactiveLoss, and VDProfile metrics. Through strategic allocation of multiple DGs at optimal locations, the proposed TLBO technique showcases superior system performance when compared to basic APSO and PSO methodologies, particularly in terms of minimizing losses, and enhancing voltage profiles.
  • Intelligent Planning of Multiple DG with Practical Load Models Using Metaheuristic Methods
    Bikash Kumar Saw, Aashish Kumar Bohre, Tushar Kanti Bera
    Lecture Notes in Electrical Engineering, 2023
  • Economic Performance Assessment of Mesh-Distribution Network with Optimal Planning of Multiple DGs
    Aashish Kumar Bohre, Bikash Kumar Saw, Abhinav Kumar
    2023 IEEE Renewable Energy and Sustainable E Mobility Conference Resem 2023, 2023
    The proposed work covers the mesh distribution network assessment with the optimal size and location of multi-DGs using real-world load models including industrial, residential, commercial, and constant loads using BF-PS, PSO, and GA optimization techniques. The objective function is considered based techno-economic performance indices of the 30-bus mesh distribution system for the estimation of the suitable location and size of multiple-DGs. The objective function is minimized to find the suitable location and size of multiple DGs including the different parameters indices like real and reactive power loss index, voltage index, power transfer index and ENS. The economic performance includes technical, social, and cost parameters for the system. The impact of real and reactive power loss, voltage profile and reliability are analyzed and compared with and without DG in the proposed system.
  • Analyze the Impact of Distributed Generation Units on Distribution System Performances
    Hemant Patel, Bikash Kumar Saw, Aashish Kumar Bohre, Omkar Yadav
    2023 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Power Electronics Smart Grid and Renewable Energy for Sustainable Development Pesgre 2023, 2023
  • Solar-DG and DSTATCOM Concurrent Planning in Reconfigured Distribution System Using APSO and GWO-PSO Based on Novel Objective Function
    Bikash Kumar Saw, Aashish Kumar Bohre, Jalpa H. Jobanputra, Mohan Lal Kolhe
    Energies, 2023
  • Techno-Economic and Environmental Based Approach for Planning of SDG and DSTATCOM with Impact of Network Reconfiguration using APSO and TLBO
    Bikash Kumar Saw, Aashish Kumar Bohre, Jalpa Thakkar, Mohan Lal Kolhe
    Distributed Generation and Alternative Energy Journal, 2023
  • Integration of Green Renewable DG based EV Charging Stations Planning in Unbalanced Distribution Network
    Abhinav Kumar, Sanjay Kumar, Umesh Kumar Sinha, Bikash Kumar Saw, Aashish Kumar Bohre
    2023 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Power Electronics Smart Grid and Renewable Energy for Sustainable Development Pesgre 2023, 2023
  • Harmonics and Reliability Analysis of Distribution Network in Presence of Multi-DG using PSO and DigSILENT
    Hemant Patel, Bikash Kumar Saw, Aashish Kumar Bohre, Omkar Yadav, Tushar Kanti Bera
    2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
  • Intelligent Approach for Distributed Generation Planning and Distribution Network Reconfiguration Using Metaheuristic Technique
    Bikash Kumar Saw, Balmukund Kumar, Aashish Kumar Bohre
    Lecture Notes in Electrical Engineering, 2022
  • Optimal Allocation of Renewable DGs with Optimal Reconfiguration Using Adaptive PSO in Distribution Network
    Bikash Kumar Saw, Balmukund Kumar, Aashish Kumar Bohre
    Lecture Notes in Electrical Engineering, 2022
  • Allocation of Renewable DG Considering Impact of ZIP Load Models in Distribution Network
    Sourav Chakraborty, Aashish Kumar Bohre, Shilpa Kalambe, Bikash Kumar Saw, Mohan Lal Kolhe, Jalpa Thakkar, Prince Kumar
    2022 IEEE International Conference for Women in Innovation Technology and Entrepreneurship Icwite 2022 Proceedings, 2022
  • Planning of Multi-renewable DG with Distribution Network Reconfiguration Based on MOFF Approach Using PSO Technique
    Balmukund Kumar, Bikash Kumar Saw, Aashish Kumar Bohre
    Lecture Notes in Electrical Engineering, 2021
  • Optimal Distribution Network Reconfiguration to Improve the System Performances using PSO with Multiple-Objectives
    Balmukund Kumar, Bikash Kumar Saw, Aashish Kumar Bohre
    International Conference on Computational Intelligence for Smart Power System and Sustainable Energy Cispsse 2020, 2020
  • Optimal Sizing and Placement of Renewable DGs using GOA Considering Seasonal Variation of Load and DGs
    Kumari Sandhya Rani, Bikash Kumar Saw, Parimal Achargee, Aashish Kumar Bohre
    International Conference on Computational Intelligence for Smart Power System and Sustainable Energy Cispsse 2020, 2020
  • Distribution Network Reconfiguration and Multi Renewable DG Planning based on MOFF approach using PSO Technique
    Balmukund Kumar, Bikash Kumar Saw, Aashish Kumar Bohre
    2020 1st IEEE International Conference on Measurement Instrumentation Control and Automation Icmica 2020, 2020

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Distribution System Resiliency Through Techno-Economic Planning of DG & SOP using Optimization with Reconfigurations
    H Patel, AK Bohre, O Yadav, BK Saw
    IEEE Transactions on Industry Applications , 2026
    2026
  • Solar Integrated DSTATCOM based Charging-Stations Planning for EVs addressing Sustainable Development Goals: Techno-Economic and Environmental
    BK Saw, AK Bohre
    IEEE Transactions on Industry Applications , 2025
    2025
    Citations: 3
  • Sustainable Deployment of EV Charging Stations in Distribution Network supported with Hybrid Solar-DG Integrated DSTACOM
    BK Saw, AK Bohre
    IEEE Transactions on Industry Applications, 1-16 , 2025
    2025
    Citations: 22
  • Techno-economic and environmental benefit analysis of PV and D-FACTS enriched modern electric distribution grid with practical loads
    BK Saw, AK Bohre
    International Journal of Computing and Digital Systems 15 (1), 91-97 , 2024
    2024
    Citations: 12
  • Analyze the impact of distributed generation units on distribution system performances
    H Patel, BK Saw, AK Bohre, O Yadav
    System 1, 5 , 2023
    2023
    Citations: 10
  • Simultaneous Planning of Active and Reactive DGs with Mixed-Load Model using Innovative Techniques: A Comparative Analysis
    BK Saw, AK Bohre
    2023 IEEE International Conference on Power Electronics, Smart Grid, and … , 2023
    2023
  • Integration of green renewable DG based EV charging stations planning in unbalanced distribution network
    A Kumar, S Kumar, UK Sinha, BK Saw, AK Bohre
    2023 IEEE International Conference on Power Electronics, Smart Grid, and … , 2023
    2023
    Citations: 7
  • Distribution system enhancement via renewable-DG based D-STATCOM allocation in the presence of EV charging-stations
    BK Saw, AK Bohre
    2023 IEEE 3rd international conference on smart technologies for power … , 2023
    2023
    Citations: 4
  • Multi dg planning with impact of mixed-load models using intelligent methodologies: Bf-pso, pso and ga
    BK Saw, AK Bohre
    2023 IEEE 3rd International Conference on Smart Technologies for Power … , 2023
    2023
    Citations: 11
  • Harmonics and Reliability Analysis of Distribution Network in Presence of Multi-DG using PSO and DigSILENT
    H Patel, BK Saw, AK Bohre, O Yadav, TK Bera
    2023 IEEE 3rd International Conference on Smart Technologies for Power … , 2023
    2023
    Citations: 9
  • Hybrid renewable PV-DG with DSTATCOM planning in reconfigured distribution network for techno-economic analysis
    BK Saw, AK Bohre
    2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023
    2023
    Citations: 8
  • Techno-Economic and Environmental Based Approach for Planning of SDG and DSTATCOM with Impact of Network Reconfiguration using APSO and TLBO
    BK Saw, AK Bohre, J Thakkar, ML Kolhe
    Distributed Generation & Alternative Energy Journal 38 (5), 1585-1608 , 2023
    2023
    Citations: 9
  • Economic performance assessment of mesh-distribution network with optimal planning of multiple dgs
    AK Bohre, BK Saw, A Kumar
    2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM), 1-6 , 2023
    2023
    Citations: 5
  • Intelligent Planning of Multiple DG with Practical Load Models Using Metaheuristic Methods
    BK Saw, AK Bohre, TK Bera
    Recent Developments in Electrical and Electronics Engineering: Select … , 2023
    2023
  • Solar-DG and DSTATCOM concurrent planning in reconfigured distribution system using APSO and GWO-PSO based on novel objective function
    BK Saw, AK Bohre, JH Jobanputra, ML Kolhe
    Energies 16 (1), 263 , 2022
    2022
    Citations: 30
  • Allocation of Renewable DG Considering Impact of ZIP Load Models in Distribution Network
    S Chakraborty, AK Bohre, S Kalambe, BK Saw, ML Kolhe, J Thakkar, ...
    2022 IEEE International Conference for Women in Innovation, Technology … , 2022
    2022
  • Intelligent approach for distributed generation planning and distribution network reconfiguration using metaheuristic technique
    BK Saw, B Kumar, AK Bohre
    Intelligent Data Analytics for Power and Energy Systems, 29-44 , 2022
    2022
    Citations: 2
  • Optimal allocation of renewable DGs with optimal reconfiguration using adaptive PSO in distribution network
    BK Saw, B Kumar, AK Bohre
    Recent Advances in Power Systems: Select Proceedings of EPREC-2021, 455-468 , 2022
    2022
    Citations: 4
  • Planning of multi-renewable DG with distribution network reconfiguration based on MOFF approach using PSO technique
    B Kumar, BK Saw, AK Bohre
    Recent Advances in Power Electronics and Drives: Select Proceedings of EPREC … , 2020
    2020
    Citations: 4
  • Optimal sizing and placement of renewable DGs using GOA considering seasonal variation of load and DGs
    KS Rani, BK Saw, P Achargee, AK Bohre
    2020 international conference on computational intelligence for smart power … , 2020
    2020
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal distribution network reconfiguration to improve the system performances using PSO with multiple-objectives
    B Kumar, BK Saw, AK Bohre
    2020 International Conference on Computational Intelligence for Smart Power … , 2020
    2020
    Citations: 33
  • Solar-DG and DSTATCOM concurrent planning in reconfigured distribution system using APSO and GWO-PSO based on novel objective function
    BK Saw, AK Bohre, JH Jobanputra, ML Kolhe
    Energies 16 (1), 263 , 2022
    2022
    Citations: 30
  • Sustainable Deployment of EV Charging Stations in Distribution Network supported with Hybrid Solar-DG Integrated DSTACOM
    BK Saw, AK Bohre
    IEEE Transactions on Industry Applications, 1-16 , 2025
    2025
    Citations: 22
  • Techno-economic and environmental benefit analysis of PV and D-FACTS enriched modern electric distribution grid with practical loads
    BK Saw, AK Bohre
    International Journal of Computing and Digital Systems 15 (1), 91-97 , 2024
    2024
    Citations: 12
  • Multi dg planning with impact of mixed-load models using intelligent methodologies: Bf-pso, pso and ga
    BK Saw, AK Bohre
    2023 IEEE 3rd International Conference on Smart Technologies for Power … , 2023
    2023
    Citations: 11
  • Analyze the impact of distributed generation units on distribution system performances
    H Patel, BK Saw, AK Bohre, O Yadav
    System 1, 5 , 2023
    2023
    Citations: 10
  • Optimal sizing and placement of renewable DGs using GOA considering seasonal variation of load and DGs
    KS Rani, BK Saw, P Achargee, AK Bohre
    2020 international conference on computational intelligence for smart power … , 2020
    2020
    Citations: 10
  • Harmonics and Reliability Analysis of Distribution Network in Presence of Multi-DG using PSO and DigSILENT
    H Patel, BK Saw, AK Bohre, O Yadav, TK Bera
    2023 IEEE 3rd International Conference on Smart Technologies for Power … , 2023
    2023
    Citations: 9
  • Techno-Economic and Environmental Based Approach for Planning of SDG and DSTATCOM with Impact of Network Reconfiguration using APSO and TLBO
    BK Saw, AK Bohre, J Thakkar, ML Kolhe
    Distributed Generation & Alternative Energy Journal 38 (5), 1585-1608 , 2023
    2023
    Citations: 9
  • Hybrid renewable PV-DG with DSTATCOM planning in reconfigured distribution network for techno-economic analysis
    BK Saw, AK Bohre
    2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023
    2023
    Citations: 8
  • Integration of green renewable DG based EV charging stations planning in unbalanced distribution network
    A Kumar, S Kumar, UK Sinha, BK Saw, AK Bohre
    2023 IEEE International Conference on Power Electronics, Smart Grid, and … , 2023
    2023
    Citations: 7
  • Economic performance assessment of mesh-distribution network with optimal planning of multiple dgs
    AK Bohre, BK Saw, A Kumar
    2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM), 1-6 , 2023
    2023
    Citations: 5
  • Distribution system enhancement via renewable-DG based D-STATCOM allocation in the presence of EV charging-stations
    BK Saw, AK Bohre
    2023 IEEE 3rd international conference on smart technologies for power … , 2023
    2023
    Citations: 4
  • Optimal allocation of renewable DGs with optimal reconfiguration using adaptive PSO in distribution network
    BK Saw, B Kumar, AK Bohre
    Recent Advances in Power Systems: Select Proceedings of EPREC-2021, 455-468 , 2022
    2022
    Citations: 4
  • Planning of multi-renewable DG with distribution network reconfiguration based on MOFF approach using PSO technique
    B Kumar, BK Saw, AK Bohre
    Recent Advances in Power Electronics and Drives: Select Proceedings of EPREC … , 2020
    2020
    Citations: 4
  • Solar Integrated DSTATCOM based Charging-Stations Planning for EVs addressing Sustainable Development Goals: Techno-Economic and Environmental
    BK Saw, AK Bohre
    IEEE Transactions on Industry Applications , 2025
    2025
    Citations: 3
  • Distribution network reconfiguration and multi renewable DG planning based on MOFF approach using PSO technique
    B Kumar, BK Saw, AK Bohre
    2020 First IEEE International Conference on Measurement, Instrumentation … , 2020
    2020
    Citations: 3
  • Intelligent approach for distributed generation planning and distribution network reconfiguration using metaheuristic technique
    BK Saw, B Kumar, AK Bohre
    Intelligent Data Analytics for Power and Energy Systems, 29-44 , 2022
    2022
    Citations: 2
  • Enhancing Distribution System Resiliency Through Techno-Economic Planning of DG & SOP using Optimization with Reconfigurations
    H Patel, AK Bohre, O Yadav, BK Saw
    IEEE Transactions on Industry Applications , 2026
    2026
  • Simultaneous Planning of Active and Reactive DGs with Mixed-Load Model using Innovative Techniques: A Comparative Analysis
    BK Saw, AK Bohre
    2023 IEEE International Conference on Power Electronics, Smart Grid, and … , 2023
    2023