POWER SYSTEM STABILITY, POWER QUALITY, GREEN ENERGY
10
Scopus Publications
2
Scholar Citations
1
Scholar h-index
Scopus Publications
Enhancing Substation Protection Against Cyber Attacks Using LSTM Autoencoder Ravi Prakash Mahobia, Baidyanath Bag, Swapnajit Pattnaik 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 Digital technology has significantly improved the robustness and operational efficiency of the smart grid. The integration of information and communication technology (ICT) in substations has enabled real-time monitoring and control of electrical infrastructures to be more feasible, with bidirectional data and power flow. However, this feasibility has increased the vulnerability of the critical assets of the smart grid. Line current differential relays (LCDRs) are among these vital assets, widely used for transmission line protection and increasingly vulnerable to malicious cyber activities. To manage this growing concern, the present study proposes a hybrid detection framework based on a Long Short-Term Memory Autoencoder (LSTM-AE) for cyberattack detection. The suggested approach utilises both temporal and spatial patterns present in the three phase current signals measured at the sending and receiving ends of the transmission line to identify anomalies indicative of cyber threats. Notably, this framework is designed to detect False Data Injection Attacks (FDIAs) with higher accuracy and recall compared to existing methods, while utilizing a more compact feature space. Furthermore, the reduced computational load of the proposed method makes it a practical solution for real-time protection in smart grid applications.
Comparative Analysis of Reconstruction-Based Loss Metrics for Attack Detection in LCDR-Based Transmission Line Protection Ravi Prakash Mahobia, Baidyanath Bag, Swapnajit Pattnaik 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 The efficacy and reliability of the electrical grid have significantly improved with advancements in digital technology. The incorporation of Information and Communication Technology (ICT) into modern substations permits monitoring and control of the power grid in real-time. However, this interconnectedness increases the vulnerability of critical infrastructure to cyberattacks. Line Current Differential Relays (LCDRs), commonly used for transmission line protection, are potential targets for cybercriminals aiming to disrupt system functionality. This study proposes a Convolutional Autoencoder (CAE) architecture for accurately reconstructing normal data patterns and identifying anomalies indicative of malicious attacks. The model's performance is determined by two error metrics: Mean Absolute Error (MAE) and Mean Squared Error (MSE). A comparative assessment of metrics provides insights into the model's robustness and accuracy in detecting subtle deviations caused by False Data Injection Attacks (FDIAs), leveraging the temporal and spatial dependencies in three-phase current measurements at both local and remote ends to identify attacks on LCDRs. Experimental results demonstrate the model's capability to achieve high detection accuracy, highlighting its potential to enhance grid resilience against cyberattacks. The suggested model reduces computational complexity while effectively improving anomaly detection performance.
Protecting Substation Differential Relays Against Cyber Attacks Using Convolutional Autoencoder Ravi Prakash Mahobia, Baidyanath Bag, Swapnajit Pattnaik, Jagendra Kumar Narang 2025 4th International Conference on Power Control and Computing Technologies Icpc2t 2025, 2025 The development of digital technology has led to the advancement of electrical power systems and enhanced their reliability and efficiency. With this, the information and communication technology integrated substation devices have made it possible to monitor and control the modern power system smartly. However, all of this comes at the expense of the cyber vulnerability of the power system. The line current differential relays (LCDR) are the most commonly used relays for the protection of transmission lines. LCDR safeguards the lines from faults and could be misused maliciously by the cyber attackers to mal-operate the system. To resolve this issue, this paper introduces a cyber-threat detection system grounded on an unsupervised deep convolutional autoencoder (DCAE) framework, which detects malicious attacks on LCDRs. Remote and local end three-phase current measurements of the protected line with various fault characteristics have been considered to process this. The proposed framework uses fewer features against the existing attack detection methods for LCDRs. The three different scenarios of false data injection attacks (FDIA) have been analyzed at work, and the result shows that the framework achieves higher precision and recall rates with fewer learnt features.
Efficient Demand Centric Power Generation and Distribution Model for Improved Market Gain in Power Distribution Grids Ravi Prakash Mahobia E3s Web of Conferences, 2024 The market gain of power grids is well studied and there exist various models to maximize the market gain of power distribution systems. However, the methods suffer to achieve higher performance in maximizing the market gain of power grids. Towards this, an efficient Demand Centric Power Generation Model (DCPGM) is presented in this article. The method maintains the traces of various power grids which have the capacity of grid in producing required voltage. The model focused on reducing the voltage loss and increasing the market gain of the power grids. To perform this, the method monitors the power demand at each cycle and maintains the cost of various power grids. According to the requirement and the cost of purchase, the method identifies set of grids and computes Market Gain Factor (MGF). Based on the MGF value, the method identifies set of grids and triggers them for power production. The rest of the grid units are triggered to silent mode. The proposed model improves the performance of power generation with higher market gain.
A Location centric Power Factor Based Path Switching Model for Efficient Electric Vehicle Span Maximization Ravi Prakash Mahobia E3s Web of Conferences, 2024 The problem of vehicle span maximization and path switchinghas been well studied. There exists number of approaches towards maximizing the span of electric vehicles. However, the methods suffer to achieve higher performance in maximizing the span of the vehicle. Towards this, an efficient Location centric power factor path switching model (LPPSM) is presented in this article. As the electric vehicles has the limited span which is being affected by various factors like speed, wind, traffic, number of junctions, distance and so on. It is necessary to perform path switching towards maximizing the span of the vehicle. The model fetches the location of the vehicle at all the time; it finds the routes and measures the traffic at each route. According to the factors like number of junctions, traffic, distance, speed of the vehicle, the method estimates the Span Maximization Support (SMS) for various routes. According to the value of SMS, the method selects the most optimal route to reach the destination. Also, the method focused on maximizing the span of the vehicle and performs efficient path switching. The proposed method improves the performance of span maximization and path switching.
Real time Electric Pattern Based Voltage Regulation Model for Improved Power Stability Shailesh Madhavrao Deshmukh, Ravi Prakash Mahobia E3s Web of Conferences, 2024 Towards effective voltage regulation and power stability, there exist number of approaches available in literature. The methods consider the residual voltage in various power grids in maximizing the power stability. However, the methods suffer to achieve higher performance in power stability and voltage regulation. To handle this issue, an efficient Electric Patter Based Voltage regulation model (EPVRM) is presented in this article. The method maintains the voltage trace belongs to various grids of the power system. Using the traces maintained, the method preprocesses the traces to remove the noisy records. The preprocessed trace has been used to generate the electrical pattern which contains residual voltage of various grid units. Using the electric pattern the method computes Electric Pattern Stability Support (EPSS) towards the required voltage. Based on the EPSS value, the method identifies the most efficient pattern to be scheduled for current cycle. The selected pattern has been scheduled to maintain the power stability. The proposed method improves the performance of voltage regulation and power stability.
A Fuzzy Inference Model for Efficient Power Stabilization Model in PV Systems Shailesh Madhavrao Deshmukh, Ravi Prakash Mahobia E3s Web of Conferences, 2024 The power stabilization in photovoltaic systems is well studied. There exist number of approaches in stabilizing the output power of PV systems. The most approaches concern about the input power and residual energy of capacitors. Still they suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Fuzzy inference based Power stabilization model (FIPSM) is presented in this paper. The model is focused on utilizing residual energy on different circuits and avoiding higher drain of energy on any of the circuit. The model fabricated with MOFSET device in each circuit which monitors the input and output voltage of any circuit. As the model has number of circuits framed in serial connection, the method generates fuzzy rules based on the conditions of different circuits for different input voltage with output voltage required. At each duty cycle, the method reads the input voltage and identifies set of circuits were in sleep or charging mode. With the list of circuits, the method computes the Fuzzy Inference Voltage Stabilization Support (FIVSS) for various circuits. Based on the value of FIVSS, the method identifies a unique or a subset of circuits to support stabilization. The proposed model improves the performance of power stabilization in photovoltaic systems.
MITIGATION APPERTAINING TO ELECTROMOTIVE FORCE SAG USING DYNAMIC ELECTROMOTIVE FORCE RESTORER BASED ON SPACE VECTOR PULSE WIDTH MODULATION MA Raviprakash Mahobia1 JPNR 13 (7), 5242-5248 , 2022 2022
Three Phase Shunt Active Power Filter using pq theory Analysis of Stability Problem in Wind Generator by using STATCOM RM Mahesh Ahuja1 Neuro Quantology 20 (13), 3406-3413 , 2022 2022
WIDE AND OMNIDIRECTIONAL 5GHz WLAN ANTEENA ARRAY BASED ON METAMATERIAL. RPM Sandeep Mishra NCRAET-2022 , 2022 2022
A REVIEW PAPER ON ECONOMIC LOAD DISPATCH R 1 P. Marutiram , 2 Ravi Prakash Mahobia, 3 Ritu Mahobia, 4 Bobby Sharma NCRAECT-2022 1 (1) , 2022 2022
A REVIEW PAPER ON HARMONICS REDUCTION TECHNIQUES VIA PASSIVE FILTERS Mr. Vinayak Kumar 1 , Mr. Ravi Prakash Mahobia 2 , Mrs. Ritu Mahobia 3 Ms ... NCRAECT-2022 1 (1) , 2022 2022
Simulation-Based Transient Analysis of SMIB system with STATCOM via Fire-Fly Algorithm BS 1 Ritu Mahobia, 2 Ravi Prakash Mahobia NCRAECT-2022 1 (1) , 2022 2022
Different Approaches for 2D to 3D Conversion for HD Quality Images or Videos RPM 1 Bobby Sharma, 2 Ritu Mahobia NCRAECT-2022 1 (1) , 2022 2022
Simulation-Based Relative Analysis Of Interline Power Flow Controller & Unified Power Flow Controller RS 1 Muhammad Ibrahim Kende, 2 Ravi Prakash Mahobia, 3 Mahmud Usman, 4 Ritu ... NCRAECT-2022 1 (1) , 2022 2022
OFFICE POWER MANAGEMENT DEVICE RSEN RCET- BHILAI, RAVI PRAKASH MAHOBIA, KAMAL SOLANKI, A. KISHOR IN Patent 363915-001 , 2022 2022
IEEE 9 Bus Power System Stability Improvement With Facts Devices MRPMMA Sahu Journal of Optoelectronics Laser 41 (5), 637–644 , 2022 2022 Citations: 1
Smart Electricity Monitoring and Control System Using IoT MASMRP Mahobia Journal of Optoelectronics Laser 41 (5), 645–659 , 2022 2022
DISTRIBUTED MICROGRID STATE ESTIMATION: NEW OPPORTUNITIES AND CHALLENGES IN SMART GRID MRPMMA Sahu HARBIN GONGYE DAXUE XUEBAO/JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY 54 (5 … , 2022 2022
GA-PID and Conventional-PID Based Analysis of PID controlled UPFC Stabilizer Ravi Prakash Mahobia, Debshree Bhattacharya, Kamal Solanki, A. Kishor 7th International Conference ‘’Shastrardh-2022’’ on computational … , 2022 2022
A Review Of The Mitigation On Harmonics For Three Phase Four Wire System By Using Shunt Active Power Filter Ritu Sharma, Ravi Prakash Mahobia IEEE International Conference on Smart Technologies for Power, Energy and … , 2022 2022
Performance Analysis of a Coordinated PID-and UPFC-Based Stabilizer for Stability Improvement RP Mahobia, S Ralhan, M Singh, R Sharma Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 … , 2020 2020 Citations: 1
Comparative Analysis of Fractional and Conventional PI Controller in Shunt Active Filter for a Three Phase Three Wire System. RPM Ritu Sharma ” I-manager’s Journal on Future Engineering & Technology 15 (2020), 30-37 , 2020 2020
Performance Investigation of Fractional R Sharma, N Goel, S Chacko, RP Mahobia Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018 … , 2019 2019
Performance Investigation of Fractional PI Controller in Shunt Active Filter for a Three-Phase Three-Wire System R Sharma, N Goel, S Chacko, RP Mahobia Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018 … , 2019 2019
Performance analysis of Co-ordinated designed PID and UPFC based Stabilizer” RS Ravi Prakash Mahobia, Mahesh Singh, Shimpy Ralhan International Conference on Advanced Computing and Intelligent Engineering, , 2018 2018
Performance investigation othe f fractional PI controller in shunt active filter for three-phase three wire system RPM Ritu Sharma, Naveen Goel, Saji Chacko Third International Conference on Intelligent Communication , 2018 2018
MOST CITED SCHOLAR PUBLICATIONS
IEEE 9 Bus Power System Stability Improvement With Facts Devices MRPMMA Sahu Journal of Optoelectronics Laser 41 (5), 637–644 , 2022 2022 Citations: 1
Performance Analysis of a Coordinated PID-and UPFC-Based Stabilizer for Stability Improvement RP Mahobia, S Ralhan, M Singh, R Sharma Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 … , 2020 2020 Citations: 1
MITIGATION APPERTAINING TO ELECTROMOTIVE FORCE SAG USING DYNAMIC ELECTROMOTIVE FORCE RESTORER BASED ON SPACE VECTOR PULSE WIDTH MODULATION MA Raviprakash Mahobia1 JPNR 13 (7), 5242-5248 , 2022 2022
Three Phase Shunt Active Power Filter using pq theory Analysis of Stability Problem in Wind Generator by using STATCOM RM Mahesh Ahuja1 Neuro Quantology 20 (13), 3406-3413 , 2022 2022
WIDE AND OMNIDIRECTIONAL 5GHz WLAN ANTEENA ARRAY BASED ON METAMATERIAL. RPM Sandeep Mishra NCRAET-2022 , 2022 2022
A REVIEW PAPER ON ECONOMIC LOAD DISPATCH R 1 P. Marutiram , 2 Ravi Prakash Mahobia, 3 Ritu Mahobia, 4 Bobby Sharma NCRAECT-2022 1 (1) , 2022 2022
A REVIEW PAPER ON HARMONICS REDUCTION TECHNIQUES VIA PASSIVE FILTERS Mr. Vinayak Kumar 1 , Mr. Ravi Prakash Mahobia 2 , Mrs. Ritu Mahobia 3 Ms ... NCRAECT-2022 1 (1) , 2022 2022
Simulation-Based Transient Analysis of SMIB system with STATCOM via Fire-Fly Algorithm BS 1 Ritu Mahobia, 2 Ravi Prakash Mahobia NCRAECT-2022 1 (1) , 2022 2022
Different Approaches for 2D to 3D Conversion for HD Quality Images or Videos RPM 1 Bobby Sharma, 2 Ritu Mahobia NCRAECT-2022 1 (1) , 2022 2022
Simulation-Based Relative Analysis Of Interline Power Flow Controller & Unified Power Flow Controller RS 1 Muhammad Ibrahim Kende, 2 Ravi Prakash Mahobia, 3 Mahmud Usman, 4 Ritu ... NCRAECT-2022 1 (1) , 2022 2022
OFFICE POWER MANAGEMENT DEVICE RSEN RCET- BHILAI, RAVI PRAKASH MAHOBIA, KAMAL SOLANKI, A. KISHOR IN Patent 363915-001 , 2022 2022
Smart Electricity Monitoring and Control System Using IoT MASMRP Mahobia Journal of Optoelectronics Laser 41 (5), 645–659 , 2022 2022
DISTRIBUTED MICROGRID STATE ESTIMATION: NEW OPPORTUNITIES AND CHALLENGES IN SMART GRID MRPMMA Sahu HARBIN GONGYE DAXUE XUEBAO/JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY 54 (5 … , 2022 2022
GA-PID and Conventional-PID Based Analysis of PID controlled UPFC Stabilizer Ravi Prakash Mahobia, Debshree Bhattacharya, Kamal Solanki, A. Kishor 7th International Conference ‘’Shastrardh-2022’’ on computational … , 2022 2022
A Review Of The Mitigation On Harmonics For Three Phase Four Wire System By Using Shunt Active Power Filter Ritu Sharma, Ravi Prakash Mahobia IEEE International Conference on Smart Technologies for Power, Energy and … , 2022 2022
Comparative Analysis of Fractional and Conventional PI Controller in Shunt Active Filter for a Three Phase Three Wire System. RPM Ritu Sharma ” I-manager’s Journal on Future Engineering & Technology 15 (2020), 30-37 , 2020 2020
Performance Investigation of Fractional R Sharma, N Goel, S Chacko, RP Mahobia Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018 … , 2019 2019
Performance Investigation of Fractional PI Controller in Shunt Active Filter for a Three-Phase Three-Wire System R Sharma, N Goel, S Chacko, RP Mahobia Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018 … , 2019 2019
Performance analysis of Co-ordinated designed PID and UPFC based Stabilizer” RS Ravi Prakash Mahobia, Mahesh Singh, Shimpy Ralhan International Conference on Advanced Computing and Intelligent Engineering, , 2018 2018
Performance investigation othe f fractional PI controller in shunt active filter for three-phase three wire system RPM Ritu Sharma, Naveen Goel, Saji Chacko Third International Conference on Intelligent Communication , 2018 2018