Abhineet Prakash

Scopus Publications

Autoencoder-Enhanced Ensemble Neural Network for Forced Oscillation Source Location in Renewable-Rich Power Systems
Kumar Abhinav, Piyush Rai, Priyesh Saini, Abhineet Prakash, S. K. Parida
IEEE Transactions on Industry Applications, 2026
Conventional energy-based methods struggle to determine the origin of Forced Oscillations (FOs) in renewable-rich systems because of their dependency on Dissipating Energy Flow (DEF) calculations. This paper proposes a novel Autoencoder Enhanced Ensemble Neural Network (AEENN) deep learning model for accurately identifying FO sources in power systems having high wind energy penetration without relying on traditional DEF calculations. The methodology incorporates a two-stage framework that enhances the scalability of the proposed method for larger and more practical power systems. It leverages Wavelet Synchrosqueezing Transform (WSST) and Multivariate Empirical Mode Decomposition (MEMD) to extract relevant harmonic components while filtering out noise. A reduced-order WSST matrix is constructed by retaining only FO-related frequency components based on an energy-based threshold. Moreover, an autoencoder effectively learns nonlinear features from PMU data in wind turbine generator (WTG)-dominated grids, enabling robust feature extraction for multivariate time-series classification. To enhance reliability, a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula>-fold ensemble classifier is employed, where multiple models trained on different data folds are combined to improve accuracy and generalisation. The efficacy of the proposed technique is examined on the IEEE 11-bus system and India's Eastern Regional Grid (ERG) model, demonstrating superior real-world applicability.
A Hybrid Framework for Dynamic Inertia Estimation of Power Grid Considering Virtual Inertia Support From Wind Farms
Priyesh Saini, Abhineet Prakash, Sanjoy Kumar Parida, Mohamed Shawky El Moursi
IEEE Transactions on Industrial Informatics, 2026
Rapid growth of converter-interfaced renewable energy sources has made the estimation of system inertia increasingly complex, as virtual inertia control (VIC) introduces nonlinear and time-delayed dynamics that traditional methods often overlook. This article proposes a data-driven framework for online estimation of effective inertia under varying wind power penetration (WPP) and VIC gains. The approach integrates wavelet-based denoising, Isolation Forest-based onset detection with an optimally tuned decision threshold, robust rate of change of frequency estimation, and an Attention-Augmented Encoder–Decoder Architecture model for accurate estimation of net power imbalance. Unlike existing data-driven methods, the proposed framework explicitly accounts for the activation delay and nonlinear response of VIC, yielding superior robustness across diverse operating conditions. Extensive simulations are conducted on a modified 11-bus and the truncated model of Indian Eastern Regional Grid system, considering a wide range of disturbance magnitudes, WPP levels, and VIC gains. Further, the framework is shown to be scalable for area-level inertia estimation in large systems by leveraging boundary bus frequency and tie-line power flow.
Adaptive Unscented Filtering Based Decoupled Wide-Area Damping Controller for Power Systems
Abhineet Prakash, Mohamed Shawky El Moursi, S. K. Parida, Ranjeet Kumar Tiwari
IEEE Transactions on Power Systems, 2026
This paper proposes a decoupled wide-area damping controller (WADC) leveraging adaptive unscented Kalman filter (UKF) approach. Initially a modal optimal output feedback (MOOF) technique is employed to extract decoupled single-mode feedback signals, which requires only simple gains to dampen IAOs. The decoupling facilitates the distribution of the control effort through the active power output of power injection sources (PISs). Extracted single-mode feedback signals are estimated in real-time using adaptive UKF and phasor measurement unit (PMU) data. The adaptive UKF dynamically updates the measurement and process noise covariance matrices, ensuring reliable estimation in uncertain scenarios. Finally, an interacting multiple model (IMM) approach is employed to adjust control strategies for operating point uncertainties due to low inertia intermittent renewable energy sources (RESs), changes in loading conditions, and time delay in the feedback signals, etc. The proposed methodology is validated on wind farm-integrated IEEE benchmark 4-machine 11-bus system and 16-machine 68-bus system. The decoupled WADC strategy enables simple and effective control modulation across different PISs, while the proposed adaptive UKF estimates single-mode feedback signals even in the presence of unknown covariance matrices.
A Unified Framework for Dynamic Characterization and Estimation of Virtual Inertia in Wind Farms
Priyesh Saini, Abhineet Prakash, Kumar Abhinav, S.K. Parida, Mohamed Shawky El Moursi
IEEE Transactions on Industry Applications, 2026
This paper proposes a measurement based framework to quantify the virtual inertia delivered by a permanent magnet synchronous generator-based wind turbine system equipped with virtual inertia control (VIC). First, analytical expressions are derived for virtual power injection (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Pvir) and the associated cumulative virtual kinetic energy (<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CKEvir), which is used as quantifying metric of virtual inertia over a prescribed inertial support window. To enable dynamic estimation from noisy measurements, proposed framework combines waveletbased denoising, adaptive RoCoF-thresholding for disturbance onset detection, and a neural-network model for estimating <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Pvir from local PMU measurements. The estimated power is then integrated over the inertial window to obtain <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CKEvir. The method is validated on a modified IEEE 11-bus system and a truncated Indian Eastern Regional Grid under varying VIC gain, disturbance magnitude, and wind power penetration. For operating conditions outside the training range, proposed framework detects disturbance onset within 9-83 ms, estimates Pvir, and limits the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CKEvir error to below 2%. These results along with comparative evaluation against recent methods demonstrate that the proposed framework is an accurate and robust tool for dynamic quantification of wind-farm virtual inertia under diverse operating conditions.
Real-Time Dynamic State Estimation of Rotor Angle and Speed in Multimachine Power Systems Using Extended Kalman Filtering
Manish Kumar, Abhineet Prakash, Subhransu Ranjan Samantaray
3rd International Conference on Power Electronics and Energy Icpee 2025, 2025
Accurate knowledge of rotor motion in synchronous machines is vital for maintaining grid stability and dependable system operation. Information about rotor angle and speed assists in monitoring system behavior, applying control actions, and preventing instability during abnormal events. As power system grids become more complex and large due to the day-by-day increasing dynamic nature, real-time observation of generator states is vital to ensure stable and coordinated system control. This study presents a dynamic state estimation framework based on the EKF methodology, which utilizes Phasor Measurement Unit (PMU) feature to estimate the rotor angle and speed of conventional synchronous generators. The approach is applied to the nonlinear IEEE 4-machine, 11-bus test case, where both modeling and measurement uncertainties are included. An excitation disturbance and a line fault are tested, showing that the EKF remains stable and accurately tracks generator dynamics. Results indicate that the estimator provides dependable real-time tracking of generator dynamics suitable for real-world applications. The EKF remains stable, handles noisy data well, and operates efficiently, showing its effectiveness for tracking generator dynamics in real systems.
A Novel Modal Eigenvalue Realignment-Based Design of Wide-Area Damping Controller for Inter-Area Oscillations in Modern Power System
Kundan Kumar, Abhineet Prakash, Khaled Al Jaafari, S. K. Parida
IEEE Transactions on Power Systems, 2025
This letter proposes a novel method to extract single-mode feedback signals using a modal eigenvalue realignment (MER) based approach. The single-mode feedback signals those contain information pertinent to the concerned modes are selected, while states with minimal participation are disregarded. These signals are utilized as supplementary inputs to high-voltage direct current (HVDC) tie-line converter and exciters of synchronous generators (SGs) aiming to enhance the damping of inter-area modes (IAMs) of oscillation. The proposed method is thoroughly evaluated and validated using a 25-machine, 105-bus Eastern Regional (ER) truncated power system of India, and further verified through real-time hardware-in-the-loop (HIL) simulation.
Design of a Power System Stabilizer for Transient Model of Single Machine Infinite Bus System
Ashish Ranjan Parida, Udhay Abrol, Arsita Singh, Amisha Kumari, Abhineet Prakash
3rd International Conference on Power Electronics and Energy Icpee 2025, 2025
This paper presents a comprehensive dynamic modeling and control framework to enhance the dynamic performance of a single machine infinite bus (SMIB) power system. A two-axis transient model of the synchronous generator (SG) is employed to accurately capture the essential dynamics along the d -axis and q -axis. Park’s transformation is used to simplify the voltage and current equations in the rotating reference frame. The system is linearized to obtain a state-space representation, which is then analyzed through modal analysis to identify poorly damped modes. The optimal input and output locations for the power system stabilizer (PSS) design are identified using geometric controllability and observability measures, ensuring maximum influence on the critical modes. A residue-based compensation method is then used to compute the PSS parameters, with the number of compensation blocks limited to two for practical implementation. The designed PSS is finally validated on the non-linear SMIB system, demonstrating effective damping of low-frequency oscillations and improved system stability.
A SVC-Based Wide-Area Damping Controller for Inter-Area Oscillation using Fuzzy Logic
Kapil Khinchi, Kundan Kumar, Kumar Abhinav, S. K. Parida, Abhineet Prakash
5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025
Weak tie line connections in modern power networks can cause serious stability problems if they are not adequately damped against low-frequency inter-area oscillations. Various research endeavours aim to alleviate these oscillations through the utilization of Flexible AC Transmission System (FACTS) devices are conducted, providing efficacious remedies to enhance system stability. Complex nonlinear problems can be handled using fuzzy logic controllers, which apply human knowledge-based control principles. Consequently, in order to minimize inter-area oscillations in power systems, this work presents a unique Fuzzy Logic Wide-Area Damping Controller (FLWADC) based on the Static Var Compensator (SVC). To find the system’s critical inter-area mode, the suggested method is first linearizes the system around the equilibrium point and then performs eigenvalue analysis. The appropriate wide-area feedback signal is then chosen using a geometric approach. The controller parameters are tuned using a metaheuristic Fuzzy Logic (FL) apporach to achieve the desired damping for critical mode. The performance of the suggested control technique is validated on a two-area, four-machine test system. Time-domain simulations and frequency responses to small-scale disturbance demonstrate the effectiveness of the suggested controller. Furthermore, the effectiveness of the suggested controller is tested over a wide variety of time delays.
Estimation of Time-Varying Power System Inertia Using Gated Recurrent Unit Model
Sandeep Mishra, Priyesh Saini, Kundan Kumar, S. K. Parida, Abhineet Prakash
5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025
Maintaining stability in power grids with increasing renewable energy sources is a challenge due to continuously varying inertia. This paper proposes a Gated Recurrent Unit (GRU) model for real-time estimation of system inertia under continuous stochastic disturbances. The model utilizes center of inertia frequency and tie-line power deviations as inputs to predict the net system inertia. The proposed method is validated on an IEEE 4-machine 11-bus system. Performance evaluation employs absolute and percentage error thresholds, with comparisons visualized through plots (comparison, scatter, violin) to assess the model’s accuracy. The comparative evaluation with existing models demonstrate the effectiveness of proposed GRU model for inertia estimation, highlighting its potential to address frequency stability.
Parameter-Free Fault Locator for Double-Circuit Line with Essential Faulted Circuit Data
Rohit Ray, Kaustav Kalita, Abhineet Prakash, S. Sivasubramani, S.K. Parida
2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025
As electricity demand continues to increase, utilities often employ double-circuit or multi-circuit transmission lines to enhance power transfer capacity. However, the mutual coupling between phases introduces inaccuracies in fault location calculations. This paper presents two terminal fault location methods for short-length, transposed double or multi-circuit transmission lines. The proposed methods are independent of line parameters, pre fault data, and do not require synchronized measurements. In this work, unsymmetrical faults are specifically analyzed. A key advantage of the proposed algorithm is its reliance solely on data from the faulted circuit, unlike existing methods that require data from both circuits. Furthermore, the method is non-iterative and remains effective in locating inter-circuit faults. The accuracy of the proposed methods are validated through simulations conducted in PSCAD. The test results confirm the reliability and efficiency of the algorithm.
Real-Time Cyber-Physical Co-Simulation for Resilient Wide-Area Damping Control Against FDIAs and Communication Disruptions
Kundan Kumar, Priyesh Saini, Abhineet Prakash, S. K. Parida, Khaled Al Jaafari, Hatem H. Zeineldin, Ehab F. El-Saadany
IEEE Transactions on Industry Applications, 2025
A data-driven online approach for detection and localization of forced oscillation in wind turbine integrated power system
Kumar Abhinav, Piyush Rai, Abhineet Prakash, S.K. Parida
Electric Power Systems Research, 2024
Design of Adaptive Damping Controller with Wide-Area Measurements Considering Unknown Power System Dynamics
Abhineet Prakash, Mohamed Shawky El Moursi, S. K. Parida, Ehab F. El-Saadany
IEEE Transactions on Power Systems, 2024
Adaptive Disturbance Onset Detection in Power System with Varying Wind Power Penetration Using Kernel Density Estimator
Priyesh Saini, Kumar Abhinav, Abhineet Prakash, Sanjoy Kumar Parida
Proceedings of the 2024 23rd National Power Systems Conference Achieving Decarbonized Digitalized Energy and Electric Transportation Systems Npsc 2024, 2024
A Sine-Cosine Algorithm Optimized PI-PD Cascade Controller for Load Frequency Control
Abhineet Prakash, Kumar Abhinav, Piyush Rai, S. K. Parida
Proceedings of the International Conference on Power Electronics Drives and Energy Systems for Industrial Growth Pedes, 2024
Frequency Control of Two Area Thermal-Hydro System Using HSSDEA Based PIDF Controller
Abhineet Prakash, Kumar Abhinav, Priyesh Saini, S. K. Parida
Proceedings of the International Conference on Power Electronics Drives and Energy Systems for Industrial Growth Pedes, 2024
Design of Wide-Area Damping Controller with Static VAr Compensator for Inter-Area Oscillation
Kundan Kumar, Abhineet Prakash, Khaled Al Jaafari, S. K. Parida
2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024
Damping of Inter-Area Oscillations With Frequency Regulation in Power Systems Considering High Penetration of Renewable Energy Sources
Abhineet Prakash, Mohamed Shawky El Moursi, S. K. Parida, Kundan Kumar, Ehab F. El-Saadany
IEEE Transactions on Industry Applications, 2024
A Novel Multi-Functional Observer Based Distributed WADC for Large Power System Using Modified Decoupled Control Approach
Kundan Kumar, Abhineet Prakash, S.K. Parida, Saibal Ghosh, Chandan Kumar
IEEE Transactions on Power Systems, 2024
Detection and Mitigation of False Data Injection Attacks in Wide-Area Damping Controller Using Random Forest Classifier
Kundan Kumar, Privesh Saini, Abhineet Prakash, Sanjoy Kumar Parida, Khaled Al Jaafari
Proceedings of the 2024 23rd National Power Systems Conference Achieving Decarbonized Digitalized Energy and Electric Transportation Systems Npsc 2024, 2024
Detection of Wind Turbine Induced Forced Oscillations using Periodogram and DEF Techniques
Piyush Rai, Kumar Abhinav, Priyesh Saini, Abhineet Prakash, S. K. Parida
Proceedings of the International Conference on Power Electronics Drives and Energy Systems for Industrial Growth Pedes, 2024
Forced Oscillation Source Location using System Oscillating Energy and Eigensystem Realization Algorithm
Kumar Abhinav, Piyush Rai, Priyesh Saini, Abhineet Prakash, Sanjoy Kumar Parida
Proceedings of the 2024 23rd National Power Systems Conference Achieving Decarbonized Digitalized Energy and Electric Transportation Systems Npsc 2024, 2024
Neural network based pattern recognition for classification of the forced and natural oscillation
Priya Singh, Abhineet Prakash, S.K. Parida
Electric Power Systems Research, 2023
A Modal Transformation Approach to Design Reduced Order Functional Observer-Based WADC for Low-Frequency Oscillations
Abhineet Prakash, Kundan Kumar, S. K. Parida
IEEE Transactions on Power Systems, 2023
Large-Scale Solar PV Converter Based Robust Wide-Area Damping Controller for Critical Low Frequency Oscillations in Power Systems
Kundan Kumar, Abhineet Prakash, Priya Singh, S.K. Parida
IEEE Transactions on Industry Applications, 2023
Interacting Multiple Model Strategy Based Adaptive Wide-Area Damping Controller Design for Wind Farm Embedded Power System
Abhineet Prakash, Ranjeet Kumar Tiwari, Kundan Kumar, S. K. Parida
IEEE Transactions on Sustainable Energy, 2023
Enhanced Short-Term Load Forecasting Using Facebook Prophet and Discrete Wavelet Transform
Priyesh Saini, Abhineet Prakash, S. K. Parida
2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
Damping of Inter-Area Oscillations Using TCPS Based Delay Compensated Robust WADC
Abhineet Prakash, Kundan Kumar, S. K. Parida
Electric Power Components and Systems, 2023
Wide-Area Damping Controller Design with TCSC Using Active Disturbance Rejection Control
Kundan Kumar, Abhineet Prakash, S. K. Parida
2023 IEEE IAS Global Conference on Emerging Technologies Globconet 2023, 2023
Distributed Generation Based Design of Prescribed Degree Robust Wide Area Damping Controller for Inter-Area Oscillations in Power Systems
Abhineet Prakash, Priyesh Saini, S. K. Parida
2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
Distributed Generation Based WADC for Inter-Area Oscillations Considering Unknown Inputs
Abhineet Prakash, Kumar Abhinav, Piyush Rai, Sanjoy Kumar Parida
Electric Power Components and Systems, 2023
Design of Wide Area Damping Controller Based on Clustering of Inter-Area Oscillations
Abhineet Prakash, Mohamed Shawky El Moursi, S. K. Parida, Ehab F. El-Saadany
2023 IEEE Pes Conference on Innovative Smart Grid Technologies Middle East Isgt Middle East 2023 Proceedings, 2023
Comparative Assessment of Prony Analysis and Eigensystem Realization Algorithm for Forced Oscillation Detection and Mode Estimation Considering PMU Noise
Kumar Abhinav, Piyush Rai, Abhineet Prakash, S. K. Parida
2023 IEEE 3rd International Conference on Smart Technologies for Power Energy and Control Stpec 2023, 2023
A Data-Driven Forced Oscillation Detection Using Random Forest
Kumar Abhinav, Priyesh Saini, Piyush Rai, Abhineet Prakash, S. K. Parida
2023 IEEE International Conference on Energy Technologies for Future Grids Etfg 2023, 2023
Energy Capacitor System Based Wide-Area Damping Controller for Multiple Inter-Area Modes
Abhineet Prakash, Kundan Kumar, S.K. Parida
IEEE Transactions on Industry Applications, 2022
Robust Wide-Area Damping Controller for Inter-Area Oscillation with AC/DC Tie-Line
Kundan Kumar, Abhineet Prakash, S. K. Parida
2022 IEEE Global Conference on Computing Power and Communication Technologies Globconpt 2022, 2022
Design of Wide-Area Damping Controller Based on Modulation of Active Power Demand
Abhineet Prakash, Kundan Kumar, S. K. Parida
2022 IEEE IAS Global Conference on Emerging Technologies Globconet 2022, 2022
Analysis and Detection of Forced Oscillation Using Synchrosqueezed Wavelet Based Ridge Technique
Priya Singh, Abhineet Prakash, Kundan Kumar, S. K. Parida
2022 IEEE IAS Global Conference on Emerging Technologies Globconet 2022, 2022
Design of a Reduced-Order WADC for Wind Turbine System-Integrated Power System
Abhineet Prakash, Priya Singh, Kundan Kumar, S. K. Parida
IEEE Transactions on Industry Applications, 2022
A Novel SVC Based Wide-Area Damping Controller for Inter-Area Oscillation
Kundan Kumar, Abhineet Prakash, Priya Singh, S. K. Parida
2021 IEEE 4th International Conference on Computing Power and Communication Technologies Gucon 2021, 2021
Design of TCSC Based Optimal Wide Area Power System Stabilizer for Low-Frequency Oscillation
Abhineet Prakash, Priya Singh, Kundan Kumar, S. K. Parida
2021 IEEE 4th International Conference on Computing Power and Communication Technologies Gucon 2021, 2021
A Novel PID-FOPD Controller for LFC including IPFC and RFB
Kundan Kumar, Abhineet Prakash, S. K. Parida
2021 6th International Conference for Convergence in Technology I2ct 2021, 2021
Comparative Assessment of Spectral Analysis Methods for Characterizing Forced Oscillation
Priya Singh, Abhineet Prakash, Kundan Kumar, S. K. Parida
Icps 2021 9th IEEE International Conference on Power Systems Developments Towards Inclusive Growth for Sustainable and Resilient Grid, 2021
Coordinated Tuning of AVRs and PSSs for Local and Inter-Area Modes of Oscillation in Eastern Regional Grid of India
Kundan Kumar, Abhineet Prakash, S. K. Parida, Saibal Ghosh, Chandan Kumar
Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power Energy and Control Stpec 2021, 2021
LQR based PI controller for load frequency control with distributed generations
Abhineet Prakash, S. K. Parida
2020 21st National Power Systems Conference Npsc 2020, 2020
Design of damping controller based on the wide-area signal strength
Abhineet Prakash, Kundan Kumar, S. K. Parida
2020 21st National Power Systems Conference Npsc 2020, 2020
PIDF(1+FOD) controller for load frequency control with sssc and ac-dc tie-line in deregulated environment
Abhineet Prakash, Kundan Kumar, Sanjoy Kumar Parida
Iet Generation Transmission and Distribution, 2020
Combined frequency and voltage stabilization of thermal-thermal system with UPFC and RFB
Abhineet Prakash, S. K. Parida
Piicon 2020 9th IEEE Power India International Conference, 2020
A Novel Hybrid Salp Swarm Differential Evolution Algorithm Based 2DOF Tilted-Integral-Derivative Controller for Restructured AGC
Prateek Sharma, Abhineet Prakash, Ravi Shankar, Sanjoy Kumar Parida
Electric Power Components and Systems, 2019
LFC of Interconnected Power System with TCSC using Salp Swarm Algorithm
Abhineet Prakash, S. K. Parida
2019 8th International Conference on Power Systems Transition Towards Sustainable Smart and Flexible Grids Icps 2019, 2019
A novel I-PDF controller for LFC with AC/DC Tie-line
Abhineet Prakash, Kundan Kumar, S. K. Parida
2019 20th International Conference on Intelligent System Application to Power Systems Isap 2019, 2019
Impact of Solar Photovoltaic on LFC of Interconnected Power System using I-PD Controller
Abhineet Prakash, S K Parida
Proceedings of 2019 IEEE Pes Innovative Smart Grid Technologies Europe Isgt Europe 2019, 2019
LFC of multi area power system with electric vehicle using VPL optimized controller
Sariki Murali, Abhineet Prakash, Ravi Shankar
1st International Conference on Power Electronics Applications and Technology in Present Energy Scenario Petpes 2019 Proceedings, 2019
HVDC tie-link modeling for restructured AGC using a novel fractional order cascade controller
Abhineet Prakash, Sariki Murali, Ravi Shankar, Ravi Bhushan
Electric Power Systems Research, 2019

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