Doctor of Philosophy
Department of Electrical Engineering
International Institute of Information Technology (IIIT) Bhubaneswar, Odisha, India
RESEARCH INTERESTS
Power System Stability Improvement, FACTS Controllers, Artificial Intelligence, Hybrid Power Systems
27
Scopus Publications
481
Scholar Citations
11
Scholar h-index
11
Scholar i10-index
Scopus Publications
Load Frequency Control in Standalone Microgrid Integrating Electric Vehicles with State of Charge Control Using Marine Predator Algorithm Jasmine Hansda, Prakash Kumar Ray, Shiba Ranjan Paital 4th Odisha International Conference on Electrical Power Engineering Communication and Computing Technology Odicon 2026, 2026 Standalone microgrids (SMGs) experiences frequency deviations primarily due to the intermittent nature of renewable energy sources (RES) such as wind power and solar power, combined with their inherently low inertia. Although energy storage systems (ESSs) can partially mitigate these deviations, their widespread deployment is limited by high costs and low power density, necessitating alternative solutions to balance power generation and demand. In recent years, electric vehicle (EV) batteries have attracted significant attention for frequency regulation applications. Accordingly, this work presents the incorporation of electric vehicles (EVs) through state-ofcharge (SoC) synchronization control, combined with Marine Predators Algorithm (MPA) tuned a Tilt Integral Derivative (TID) controller, to achieve effective load frequency controller (LFC) in the SMG. Through comparative analysis, integrating EVs with SMGs using MPA-tuned TID controllers exhibits superior performance in frequency regulation, showcasing reduced peak overshoot, undershoot, and setting time across diverse operational scenarios. Simulation data underscores the efficacy of this approach, highlighting its potential to enhance SMG stability and reliability.
Optimal Frequency Regulation in Standalone Microgrid Using Marine Predator Algorithm Jasmine Hansda, Prakash Kumar Ray, Shiba Ranjan Paital 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024 In a standalone microgrid (SMG) system, frequency deviation can indeed be a significant issue because some Renewable energy Source like wind power and solar power are intermittent in nature. The problem is exacerbated by the low inertia characteristic of these systems. Incorporating energy storage systems offers a solution to address frequency deviations by swiftly responding to imbalances between power generation and consumption. Moreover, employing controllers tuned with optimization techniques enhances the effectiveness of managing frequency deviations in the system. Thus, this study provides a Tilt Integral Derivative (TID) controller based on the Marine Predator algorithm (MPA) for the purpose of load frequency control (LFC) of the considered SMG. The study is also validated in real time using OPAL-RT digital simulator. To demonstrate the efficacy, the performance of the proposed controller and algorithm has been compared with that of conventional controllers and algorithms. According to simulation data, MPA tuned TID controller produces the best frequency regulation when it comes to peak overshoot/undershoot, and setting time under various operating scenarios when compared to conventional controllers.
A Novel Approach to Load Frequency Control Incorporating Renewable Energy and Automatic Voltage Regulator Optimized by Teaching-Learning-Based Optimization Sribidya Moushumi Mishra, Smitali Swain, Samarjit Patnaik, Siba Ranjan Paital, Anshuman Rout, Pradeepta Kishore Sethi 2024 IEEE International Conference on Smart Power Control and Renewable Energy Icspcre 2024, 2024 The traditional method of generating power from fossil fuels leads to environmental damage more over these are non-renewable substances and are on the verge of extinction. Keeping these issues in mind there is incorporation of renewable energy sources (RES) such as wind turbine generation (WTG) and Photovoltaic (PV) in distribution system. The penetration of RES is pushed the standalone microgrid towards due to its intermittent nature leading to voltage and frequency fluctuations and affecting grid stability and reliability. To mitigate the impact caused by load fluctuation and the inherent variability of RES output, the paper proposes an optimized Tilt Integral Derivative (TID) controller. During iterative optimization, a weighted objective function is employed to robust stability and disturbance attenuation performances and to harmonize tracking error. Then the TID controller is determined by a metaheuristic Teaching-Learning-based optimization (TLBO) algorithm. The proposed control method is studied for a single-area microgrid system. The system consists of different generating units such as Diesel Engine Generator (DEG), Micro Turbine (MT), and Fuel Cell (FC), along with energy storage systems such as Flywheel Energy Storage (FES) and Batter Energy Storage (BES). Further, the system is incorporated with an Automatic Voltage Regulator (AVR) for enhanced stability, improved power quality, and overall grid stability.
Voltage Stability Analysis of a Multi-Infeed VSC based HVDC Transmission System Sunita S. Biswal, Dipak Ranjan Swain, Shiba R. Paital, Pravat Kumar Rout 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2023, 2023 This article highlights the key components of a multi-infeed voltage source converter (VSC)-based high voltage direct current (HVDC) system with modeling and simulation of a fractional order PI (FPI) controller. Due to their fragmental characteristics, fractional-order PI (FPI) controllers are more durable than PI controllers in multi-infeed VSC HVDC (MiVDC) systems. The FPI parameters significantly impact the controller's performance, and they must be set optimally. The Teaching-Learning-Based Optimizer (TLBO) is recommended. With frequency domain analysis, detailed modeling and design of LCL filters are presented. Line and converter current and voltage control are analyzed, and PI, FPI, and TFPI controllers have been designed. Due to the proposed approach's superior performance in terms of voltage stability for a variety of power system control applications, comparative simulation results with tables are used to support the possibility of real-time application.
Neuro-Fuzzy Sliding Mode Control based Wide Area Power System Stabilizer for Transient Stability Improvement Shiba Ranjan Paital, Prakash Kumar Ray, Asit Mohanty, Gayadhar Panda 3rd International Conference on Energy Power and Environment Towards Clean Energy Technologies Icepe 2020, 2021 This article proposes an adaptive neuro-fuzzy sliding mode control based power system stabilizer (ANFSMC-PSS) with an aim to minimize low frequency oscillations (LFOs) arising due to disturbances in the power system. The proposed ANFSMC-PSS is a combination of sliding mode control (SMC) and neuro fuzzy system (NFS) to enhance stability of power system. Here, stability is assured through Lyapunov criterion. The proposed ASMT2NF-PSS considers both local signal (speed deviation) and remote signal (accelerating power) provided by PMUs as input signals and its efficacy is investigated in both single machine infinite bus (SMIB) and multimachine power system (MMPS) under various disturbance conditions. The simulation results clearly shows that the proposed ANFSMC-PSS gives superior oscillation damping performance as compared to that of fuzzy sliding mode control based PSS (FSMC-PSS), sliding mode control based PSS (FSMC-PSS) and conventional lead-lag based PSS (CPSS) under different disturbance conditions.
An adaptive fractional fuzzy sliding mode controlled PSS for transient stability improvement under different system uncertainties Shiba R. Paital, Prakash K. Ray, Soumya R. Mohanty, Asit Mohanty Iet Smart Grid, 2021 Prakash K. Ray, Department of Electrical Engineering, CET Bhubaneswar, Bhubaneswar, India. Email: pkrayiiit@gmail.com Abstract An adaptive fractional fuzzy sliding mode controller (AFFSMC) based power system stabilizer (PSS) is proposed for damping out low‐frequency oscillations in single machine infinite bus and multimachine power systems under various operational contingencies. The proposed stabilizer is a combination of adaptive fuzzy control with a fractional order proportional integral derivative controller and sliding mode controller. A fractional sliding surface is adopted which enables the system to remain in the proposed robust sliding surface stably to eliminate the effects of chattering at any initial conditions. In addition, fractional adaptive rules based on fuzzy sets were used for optimal selection of parameters of the controller. Here, the stability issue is addressed through Lyapunov synthesis. Speed deviation and acceleration are considered as input signals to the proposed controller. A comparative analysis of performance indices such as settling time, maximum peak overshoot is presented to demonstrate the advantages of the proposed approach. In addition, stability analysis using Eigen value, integral time absolute error and shape of demerit were also presented to augment the stability study. The simulation results confirm that the proposed AFFSMC‐PSS shows superior robust damping performance as compared to other approaches.
An optimized Robust FOFPID-SVC Controller for Transient Stability Enhancement of Power System Shiba Ranjan Paital, Prakash Kumar Ray, Asit Mohanty 2020 IEEE International Conference on Power Electronics Smart Grid and Renewable Energy Pesgre 2020, 2020 In this paper a robust fractional order fuzzy proportional integral derivative (FOFPID) based SVC is proposed for regulating the voltage profile of single machine infinite bus (SMIB) and multimachine power systems (MMPS). The proposed FOFPID controller produces the required control signal to minimize the low frequency oscillations during transient conditions. Further, in order to improve the controller performance, the gains of FOFPID controller are tuned using bat algorithm (BA), bacterial foraging optimization (BFO) and particle swarm optimization (PSO) technique. The proposed technique improves the voltage profile and also minimizes settling time and peak overshoot during different operating conditions. Further, a comparative analysis of the proposed controllers is presented to augment the stability enhancement study. It has been observed from the qualitative as well as quantitative results that oscillations are being damped out quickly in case of the proposed BAFODPID-SVC as compared to BFO-FOFPID-SVC and PSOFOFPID-SVC controller in both SMIB and multimachine power system and thus improving the voltage profile under various operational contingencies.
Load Frequency Control in Standalone Microgrid Integrating Electric Vehicles with State of Charge Control Using Marine Predator Algorithm J Hansda, PK Ray, SR Paital 2026 4th Odisha International Conference on Electrical Power Engineering … , 2026 2026
Optimal Frequency Regulation in Standalone Microgrid Using Marine Predator Algorithm J Hansda, PK Ray, SR Paital 2024 IEEE 4th International Conference on Sustainable Energy and Future … , 2024 2024 Citations: 2
Voltage stability analysis of a multi-infeed VSC based HVDC transmission system SS Biswal, DR Swain, SR Paital, PK Rout 2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023 2023 Citations: 2
Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer DR Swain, PK Ray, RK Jena, SR Paital Soft Computing, 1-23 , 2023 2023 Citations: 8
An optimised Interval type-2 fuzzy PID-based PSS for stability improvement in solar-PV integrated power system considering uncertainties SR Paital, PK Ray International Journal of Ambient Energy 43 (1), 5184-5198 , 2022 2022 Citations: 4
A robust dual interval type-2 fuzzy lead–lag based upfc for stability enhancement using harris hawks optimization SR Paital, PK Ray, SR Mohanty ISA transactions 123, 425-442 , 2022 2022 Citations: 23
Neuro-fuzzy sliding mode control based wide area power system stabilizer for transient stability improvement SR Paital, PK Ray, A Mohanty, G Panda 2020 3rd International Conference on Energy, Power and Environment: Towards … , 2021 2021 Citations: 7
An adaptive fractional fuzzy sliding mode controlled PSS for transient stability improvement under different system uncertainties SR Paital, PK Ray, SR Mohanty, A Mohanty IET smart grid 4 (1), 61-75 , 2021 2021 Citations: 18
Stability improvement in power system integrated with WECS using dolphin echolocation optimized hybrid PID plus FLC-based PSS PK Ray, SR Paital, L Kumar, B Jha, S Gairola, MK Panda Innovation in Electrical Power Engineering, Communication, and Computing … , 2020 2020 Citations: 2
An Optimized Robust FOFPID-SVC Controller for Transient Stability Enhancement of Power System SR Paital, PK Ray, A Mohanty 2020 IEEE International Conference on Power Electronics, Smart Grid and … , 2020 2020 Citations: 4
A hybrid firefly-swarm optimized fractional order interval type-2 fuzzy PID-PSS for transient stability improvement PK Ray, SR Paital, A Mohanty, YSE Foo, A Krishnan, HB Gooi, ... IEEE Transactions on Industry Applications 55 (6), 6486-6498 , 2019 2019 Citations: 111
Comprehensive review on enhancement of stability in multimachine power system with conventional and distributed generations SR Paital, PK Ray, A Mohanty IET Renewable Power Generation 12 (16), 1854-1863 , 2018 2018 Citations: 40
A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control PK Ray, SR Paital, A Mohanty, FYS Eddy, HB Gooi Applied Soft Computing 73, 471-481 , 2018 2018 Citations: 98
Dolphin Echolocation and Fractional Order PID-Based STATCOM for Transient Stability Enhancement SR Paital, PK Ray, A Mohanty Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th … , 2018 2018 Citations: 1
Stability improvement in solar PV integrated power system using quasi-differential search optimized SVC controller SR Paital, PK Ray, A Mohanty, S Dash Optik 170, 420-430 , 2018 2018 Citations: 37
Firefly algorithm scaled fractional order fuzzy PID based PSS for transient stability improvement PK Ray, SR Paital, A Mohanty, FYS Eddy, A Krishnan, HB Gooi, ... 2018 19th international Carpathian control conference (ICCC), 428-433 , 2018 2018 Citations: 22
Power management in wind-fuel cell-ultracapacitor based autonomous hybrid power system SR Paital, PC Pradhan, A Mohanty, PK Ray, M Viswavandya 2018 IEEMA Engineer Infinite Conference (eTechNxT), 1-6 , 2018 2018 Citations: 5
A review on stability enhancement in SMIB system using artificial intelligence based techniques SR Paital, PK Ray, A Mohanty 2018 IEEMA Engineer Infinite Conference (eTechNxT), 1-6 , 2018 2018 Citations: 14
Bat Algorithm Optimized SVC for Power System Stability Enhancement SR Paital, PK Ray, A Mohanty Progress In Electromagnetics Research Symposium (PIERS), Nanyang … , 2017 2017 Citations: 4
Firefly-swarm Optimized Fuzzy Adaptive PSS in Power System for Transient Stability Enhancement SR Paital, PK Ray, A Mohanty Progress In Electromagnetics Research Symposium (PIERS), Nanyang … , 2017 2017 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
A hybrid firefly-swarm optimized fractional order interval type-2 fuzzy PID-PSS for transient stability improvement PK Ray, SR Paital, A Mohanty, YSE Foo, A Krishnan, HB Gooi, ... IEEE Transactions on Industry Applications 55 (6), 6486-6498 , 2019 2019 Citations: 111
A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control PK Ray, SR Paital, A Mohanty, FYS Eddy, HB Gooi Applied Soft Computing 73, 471-481 , 2018 2018 Citations: 98
Comprehensive review on enhancement of stability in multimachine power system with conventional and distributed generations SR Paital, PK Ray, A Mohanty IET Renewable Power Generation 12 (16), 1854-1863 , 2018 2018 Citations: 40
Stability improvement in solar PV integrated power system using quasi-differential search optimized SVC controller SR Paital, PK Ray, A Mohanty, S Dash Optik 170, 420-430 , 2018 2018 Citations: 37
A robust dual interval type-2 fuzzy lead–lag based upfc for stability enhancement using harris hawks optimization SR Paital, PK Ray, SR Mohanty ISA transactions 123, 425-442 , 2022 2022 Citations: 23
Firefly algorithm scaled fractional order fuzzy PID based PSS for transient stability improvement PK Ray, SR Paital, A Mohanty, FYS Eddy, A Krishnan, HB Gooi, ... 2018 19th international Carpathian control conference (ICCC), 428-433 , 2018 2018 Citations: 22
Swarm and bacterial foraging based optimal power system stabilizer for stability improvement PK Ray, SR Paital, A Mohanty, TK Panigrahi, M Kumar, H Dubey 2016 IEEE Region 10 Conference (TENCON), 1916-1920 , 2016 2016 Citations: 20
An adaptive fractional fuzzy sliding mode controlled PSS for transient stability improvement under different system uncertainties SR Paital, PK Ray, SR Mohanty, A Mohanty IET smart grid 4 (1), 61-75 , 2021 2021 Citations: 18
Improvement of stability in solar energy based power system using hybrid PSO-GS based optimal SVC damping controller PK Ray, SR Paital, A Mohanty, TK Panigrahi Energy Procedia 109, 130-137 , 2017 2017 Citations: 17
A review on stability enhancement in SMIB system using artificial intelligence based techniques SR Paital, PK Ray, A Mohanty 2018 IEEMA Engineer Infinite Conference (eTechNxT), 1-6 , 2018 2018 Citations: 14
Reactive power compensation using PSO controlled UPFC in a microgrid with a DFIG based WECS SR Paital, S Patra, AK Singh, A Mohanty, PK Ray 2015 Annual IEEE India Conference (INDICON), 1-5 , 2015 2015 Citations: 11
Firefly-swarm Optimized Fuzzy Adaptive PSS in Power System for Transient Stability Enhancement SR Paital, PK Ray, A Mohanty Progress In Electromagnetics Research Symposium (PIERS), Nanyang … , 2017 2017 Citations: 9
Stability assessment using adaptive interval type-2 fuzzy sliding mode controlled power system stabilizer DR Swain, PK Ray, RK Jena, SR Paital Soft Computing, 1-23 , 2023 2023 Citations: 8
Neuro-fuzzy sliding mode control based wide area power system stabilizer for transient stability improvement SR Paital, PK Ray, A Mohanty, G Panda 2020 3rd International Conference on Energy, Power and Environment: Towards … , 2021 2021 Citations: 7
Swarm and BAT Algorithm Optimized 2DOF-FOPID Based STATCOM Controller for Transient Stability Enhancement SR Paital, PK Ray, A Mohanty Progress In Electromagnetics Research Symposium (PIERS), Nanyang … , 2017 2017 Citations: 7
Bacterial foraging optimized STATCOM for stability assessment in power system SR Paital, PK Ray, A Mohanty, S Patra, H Dubey IEEE TechSym 2016, Indian Institute of Technology, Kharagpur , 2016 2016 Citations: 6
Power management in wind-fuel cell-ultracapacitor based autonomous hybrid power system SR Paital, PC Pradhan, A Mohanty, PK Ray, M Viswavandya 2018 IEEMA Engineer Infinite Conference (eTechNxT), 1-6 , 2018 2018 Citations: 5
Differential evolution-swarm hybrid optimization based SVC controller for transient stability analysis in SMIB PK Ray, SR Paital, TK Panigrahi, A Mohanty, M Kumar 2016 International Conference on Information Technology (ICIT), 298-303 , 2016 2016 Citations: 5
An optimised Interval type-2 fuzzy PID-based PSS for stability improvement in solar-PV integrated power system considering uncertainties SR Paital, PK Ray International Journal of Ambient Energy 43 (1), 5184-5198 , 2022 2022 Citations: 4
An Optimized Robust FOFPID-SVC Controller for Transient Stability Enhancement of Power System SR Paital, PK Ray, A Mohanty 2020 IEEE International Conference on Power Electronics, Smart Grid and … , 2020 2020 Citations: 4