Blockchain enabled AI-agent based peer-to-peer energy trading and fault management system Gulla Rakesh, Devesh Shukla 3rd International Conference on Power Electronics and Energy Icpee 2025, 2025 The distribution system automation that could facilitate large scale renewable integration is being developed and deployed across the globe. The major challenge in this endeavor lies in the mechanism to facilitate intra and inter energy trading for microgrids and active distribution systems. The operational complexity and uncertainties of the grid further increases with the incorporation of EV charging stations. Blockchain based mechanisms are being explored to facilitate the peer-to-peer energy trading among various participants in the grid. In this paper, a decentralized energy trading and fault management system for distribution networks has been proposed. The trading platform is implemented on Ethereum using smart contracts deployed through Hardhat and operates under a double auction mechanism to determine the market clearing price. A decentralized application (DApp), developed with JavaScript and Ether.js, provides users with a secure interface for peer-to-peer energy transactions. The proposed framework was validated on a modified IEEE 13-bus system, where the double auction mechanism successfully cleared a $\mathbf{4 k W h}$ market at a price of 0.0226 ETH. The AI-driven control demonstrated robust performance, correcting a voltage swell from 1.08 per unit back to the nominal range and triggering fault alerts via a cloud-based workflow. We have also developed cloud-based messaging app that could convey the transaction status and billing information to the consumers if required. This integration of blockchain-enabled trading with cloud agent-based fault management system supports transparency, and could enhance the overall resiliency of the grid.
Twin-Delayed DDPG-Tuned PIDF Controller for Load Frequency Control in Power Grid with Distributed Energy Resources Tumuluri Datta Venkata Sai, Sukriti Tiwari, Devesh Shukla 2025 IEEE 4th International Conference on Smart Technologies for Power Energy and Control Stpec 2025 Conference Report, 2025 This paper presents a comparative study of metaheuristic, deep reinforcement learning, and proposed hybrid approaches for Load Frequency Control in a multirenewable integrated two-area power system. A traditional Proportional Integral Derivative controller with a Filter is first implemented to tune the controller gains, along with metaheuristic algorithms such as Particle Swarm Optimization and Genetic Algorithm optimization. Particle Swarm Optimization and Genetic Algorithm optimization exhibited limitations in their ability to minimize steady-state error and achieve a shorter settling time. To address this, Deep Reinforcement Learning algorithms, Deep Deterministic Policy Gradient, and Twin Delayed Deep Deterministic Policy Gradient, were integrated into the control loop. The controller using the TD3 algorithm delivered the most effective dynamic performance, providing quicker frequency recovery, minimizing tie-line variations, and enhancing resilience to load changes.
Detection and Discrimination of Power Swings and Faults Using DWT, EMD, and VMD Allen Solly P Babu, Devesh Shukla, Ashish Awasthi 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 The deployment of distributed energy resources and their integration into the grid introduces new challenges to power system stability. This induces the potential for power swings caused by intermittent generation, reduced inertia, and uncoordinated control actions. Considering the above scenario detection and mitigation of various events in the power system is a crucial task. This paper proposes a framework for discrete wavelet transform (DWT), empirical mode decomposition(EMD) and variational mode decomposition (VMD) based approach for power swing and fault classification. The method begins by measuring the current signals at the Point of Common Coupling (PCC) which are then processed by using the proposed signal processing techniques. In order to validate the same, the above cases are simulated in a IEEE 5 bus system using PSCAD software and signal processing analysis carried out using MATLAB platform. The extracted IMFs (Intrinsic Mode function) and detail coefficients are analyzed and it exhibit a promising method to differentiate various faults events from power swing.
Blockchain-based cyber-security enhancement of cyber–physical power system through symmetric encryption mechanism Devesh Shukla, Saikat Chakrabarti, Ankush Sharma International Journal of Electrical Power and Energy Systems, 2024 The increasing dependence on the communication network in monitoring, operating, and controlling power systems increases the threat of cyber-attacks. Cyber attacks could harm the power system’s functioning and cause substantial economic losses. Malicious injection of compromised synchrophasor measurements is capable of hampering adequate control actions and jeopardizing the security and reliability of the power system. To tackle this issue, an adequate method for detecting cyber intrusion in the communication network should be developed for the secure operation of the cyber–physical power system. Blockchain has evolved as a proven technology that holds the potential for enhancing grid security. In this paper, we investigate the application of blockchain for enhancing grid security and propose a random sequence-based symmetric encryption algorithm that uses a blockchain-based secure platform for sharing the decryption keys. The presence of cyber-attack has been identified using a weighted least square-based state estimator. We have further developed a cyber-attack simulator application that could emulate the behavior of a false data injector and proposed the attack detection mechanism. The developed technology has been tested on IEEE 14 bus test systems.
Modelling of Cyber Intrusion in Active Distribution Grid Equipped with DVR Anuj Rana, Abdul Nasar C, Devesh Shukla, Sunitha R 2024 IEEE Flagship International BIT Conference Next Generation Applications in Green Energy Technology Bitcon 2024, 2024 The distribution grid around the globe is evolving with higher penetration of distributed generation having renewable sources of energy as a major component, and IEDs, PMUs that communicate and exchange monitoring and control information through cyberinfrastructure. The bi-directional energy flow in distribution systems might aid the existing power quality issues of voltage sag, swell, flicker, and harmonics. The custom power devices used to tackle these disturbances could be subjected to cyber-attacks. The challenges of cyber-attacks are evident and need to be investigated as several breaches in the power sector have been witnessed across the globe. The cyber intrusions could lead a system into catastrophic blackout or cause economic/equipment damage. This paper presents a framework for modelling the cyber intrusion on active distribution grids equipped with dynamic voltage restorer (DVR) for mitigation of disturbances like voltage sag and swell. The standard IEEE 5 bus test system has been developed in MATLAB with a DVR for mitigating the voltage sag and swell.
Development and implementation of a MATLAB-based phasor data concentrator for synchrophasor applications Sugandh Pratap Singh, Saikat Chakrabarti, Devesh Shukla, Vladimir Terzija International Journal of Electrical Power and Energy Systems, 2024 This work presents the development of MatPDC, an IEEE Std. C37.118.2-2011 compliant Phasor Data Concentrator (PDC) implemented in the Matlab environment. MatPDC enables the integration of wide-area monitoring, protection and control system synchrophasor data into the Matlab platform, offering real-time access to synchronized data streams from multiple Phasor Measurement Units (PMUs). The key features of MatPDC include real-time data access, data integrity verification, data aggregation and alignment, compliant data communication, and latency calculation. These features facilitate efficient processing and analysis of synchronized data, reducing complexity and improving latency between data sources and applications. The development of MatPDC addresses the need for accessing and analyzing real-time synchrophasor data within the Matlab environment, providing researchers and engineers with a powerful tool for power system analysis and experimentation. By developing the PDC and synchrophasor applications on the same platform, MatPDC reduces complexity and latency between data sources and applications. It offers real-time access to synchronized data streams, ensuring data integrity through verification mechanisms and aggregating the data into a unified dataset based on time tags. The implementation of MatPDC opens up opportunities for researchers to work with real-time synchrophasor data. It facilitates the development of advanced algorithms, real-time simulations, and the verification of control strategies. The integration and evaluation of MatPDC demonstrate its effectiveness and potential in power system analysis, providing researchers and engineers with a valuable tool for their research and development activities.
Blockchain based energy trading in ADN with its probable impact on aggregated load profile, available distribution capability and loadability margin Devesh Shukla, Shailendra Singh, Satyendra Pratap Singh, Amit Kumar Thakur, Shiv Pujan Singh Iet Renewable Power Generation, 2023 Power grids monitoring, operation, control, and commercialisation are transforming gradually due to technological advancements, and new frontiers of distinct applications are emerging in this field. Global emphasis on increasing the dependence on renewable sources of generation and the introduction of electric vehicles as means of transformation can potentially affect the traditional notion of grid analysis, monitoring, and control. The prevalence of communicable intelligent devices enables peers to transact and sell/buy power locally or to the grid. Ensuring security, privacy, and avoidance of double‐spending in these transactions could be manifested by utilising the developments in blockchain technologies. In this paper, modified IEEE 123 bus distribution system has been considered. The effect of incorporating the energy transactions over block‐chain in ADN on Available Distribution Capability, aggregated load profile, and load‐ability is evaluated. The effect has been quantified using blockchain efficiency factor proposed in this article. It has been observed that enabling intelligent electronic devices peers to transact over blockchain can improve the performance of the ADN.
Estimation of ATC using PS-NR Devesh Shukla, E. S. Lakshmi, S. Singh 2017 6th International Conference on Computer Applications in Electrical Engineering Recent Advances Cera 2017, 2017
Single and two area LFC using RBF S. Das, Devesh Shukla, S. Singh 2015 International Conference on Recent Developments in Control Automation and Power Engineering Rdcape 2015, 2015
RECENT SCHOLAR PUBLICATIONS
Development and implementation of a MATLAB-based phasor data concentrator for synchrophasor applications VT Sugandh Pratap Singh, Saikat Chakrabarti, Devesh Shukla International Journal of Electrical Power & Energy Systems 155 (109637) , 2024 2024 Citations: 6
Blockchain-Based Cyber-Security Enhancement of Cyber-Physical Power System Through Symmetric Encryption Mechanism AS Devesh Shukla, Saikat Chakrabarty International Journal of Electrical Power & Energy Systems, 155 , 2024 2024 Citations: 13
An improved decentralized scheme for incentive-based demand response from residential customers CL Dewangan, V Vijayan, D Shukla, S Chakrabarti, SN Singh, A Sharma, ... Energy 284, 128568 , 2023 2023 Citations: 47
Blockchain Based Transactive Energy Market Using Peer-To-Peer (P2P) Energy Trading US Vasant, D Shukla, AK Thakur, SP Singh 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 947-953 , 2022 2022 Citations: 6
Blockchain based energy trading in ADN with its probable impact on aggregated load profile, available distribution capability and loadability margin SPS Devesh Shukla,Shailendra Singh,Satyendra Pratap Singh,Amit Kumar Thakur IET Renew. Power GenerATION, 1–16 , 2022 2022 Citations: 13
Integrated Transmission and Distribution Modelling using Multi-Agent based framework Devesh Shukla, S. P. Singh Big-data-analytics in Astronomy, Science and Engineering (BASE) 10 , 2022 2022
Near real time load forecasting in power system D Shukla, S Jaiswal, VP Babu, SP Singh 2020 21st National Power Systems Conference (NPSC), 1-6 , 2020 2020 Citations: 4
Passive method for islanding detection using variational mode decomposition AK Thakur, SP Singh, D Shukla, SK Singh IET Renewable Power Generation 14 (18), 3782-3791 , 2020 2020 Citations: 6
Real‐time estimation of ATC using PMU data and ANN D Shukla, SP Singh IET Generation, Transmission & Distribution 14 (17), 3604-3616 , 2020 2020 Citations: 8
ATC assessment and enhancement of integrated transmission and distribution system considering the impact of active distribution network D Shukla, SP Singh, AK Thakur, SR Mohanty IET Renewable Power Generation 14 (9), 1571-1583 , 2020 2020 Citations: 8
Aggregated effect of active distribution system on available transfer capability using multi-agent system based ITD framework D Shukla, SP Singh IEEE Systems Journal 15 (1), 1401-1412 , 2020 2020 Citations: 16
Block-chain Based Energy Trading in ADN with its probable impact on Aggregated Load Profile and Available Distribution Capability SPS Devesh Shukla, Shailendra Singh, Satyendra Pratap Singh, Amit Kumar Thakur 2020
Optimal Strategy for ATC Enhancement and Assessment in presence of FACTS devices and Renewable Generation D Shukla, SP Singh, SR Mohanty 2018 20th National Power Systems Conference (NPSC), 1-6 , 2018 2018 Citations: 8
Model predictive driven volt/var control for smart grid enabled cvr in active distribution network S Singh, SK Muwal, D Shukla, SP Singh 2018 IEEE 8th Power India International Conference (PIICON), 1-6 , 2018 2018 Citations: 3
Estimation of atc using ps-nr D Shukla, ES Lakshmi, SP Singh 2017 6th International Conference on Computer Applications In Electrical … , 2017 2017 Citations: 8
Pseudo PMU for quasi-static analysis of power system D Shukla, SP Singh, SP Singh 2016 IEEE Annual India Conference (INDICON), 1-6 , 2016 2016 Citations: 9
Peak demand reduction in distribution network with smart grid-enabled CVR S Singh, D Shukla, SP Singh 2016 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), 735-740 , 2016 2016 Citations: 20
Pmu emulation for static security analysis of power system D Shukla, SP Singh 2016 IEEE 7th Power India International Conference (PIICON), 1-6 , 2016 2016 Citations: 1
Single and two area LFC using RBF S Das, D Shukla, SP Singh 2015 International Conference on Recent Developments in Control, Automation … , 2015 2015 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
An improved decentralized scheme for incentive-based demand response from residential customers CL Dewangan, V Vijayan, D Shukla, S Chakrabarti, SN Singh, A Sharma, ... Energy 284, 128568 , 2023 2023 Citations: 47
Peak demand reduction in distribution network with smart grid-enabled CVR S Singh, D Shukla, SP Singh 2016 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), 735-740 , 2016 2016 Citations: 20
Aggregated effect of active distribution system on available transfer capability using multi-agent system based ITD framework D Shukla, SP Singh IEEE Systems Journal 15 (1), 1401-1412 , 2020 2020 Citations: 16
Blockchain-Based Cyber-Security Enhancement of Cyber-Physical Power System Through Symmetric Encryption Mechanism AS Devesh Shukla, Saikat Chakrabarty International Journal of Electrical Power & Energy Systems, 155 , 2024 2024 Citations: 13
Blockchain based energy trading in ADN with its probable impact on aggregated load profile, available distribution capability and loadability margin SPS Devesh Shukla,Shailendra Singh,Satyendra Pratap Singh,Amit Kumar Thakur IET Renew. Power GenerATION, 1–16 , 2022 2022 Citations: 13
Pseudo PMU for quasi-static analysis of power system D Shukla, SP Singh, SP Singh 2016 IEEE Annual India Conference (INDICON), 1-6 , 2016 2016 Citations: 9
Real‐time estimation of ATC using PMU data and ANN D Shukla, SP Singh IET Generation, Transmission & Distribution 14 (17), 3604-3616 , 2020 2020 Citations: 8
ATC assessment and enhancement of integrated transmission and distribution system considering the impact of active distribution network D Shukla, SP Singh, AK Thakur, SR Mohanty IET Renewable Power Generation 14 (9), 1571-1583 , 2020 2020 Citations: 8
Optimal Strategy for ATC Enhancement and Assessment in presence of FACTS devices and Renewable Generation D Shukla, SP Singh, SR Mohanty 2018 20th National Power Systems Conference (NPSC), 1-6 , 2018 2018 Citations: 8
Estimation of atc using ps-nr D Shukla, ES Lakshmi, SP Singh 2017 6th International Conference on Computer Applications In Electrical … , 2017 2017 Citations: 8
Development and implementation of a MATLAB-based phasor data concentrator for synchrophasor applications VT Sugandh Pratap Singh, Saikat Chakrabarti, Devesh Shukla International Journal of Electrical Power & Energy Systems 155 (109637) , 2024 2024 Citations: 6
Blockchain Based Transactive Energy Market Using Peer-To-Peer (P2P) Energy Trading US Vasant, D Shukla, AK Thakur, SP Singh 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 947-953 , 2022 2022 Citations: 6
Passive method for islanding detection using variational mode decomposition AK Thakur, SP Singh, D Shukla, SK Singh IET Renewable Power Generation 14 (18), 3782-3791 , 2020 2020 Citations: 6
Near real time load forecasting in power system D Shukla, S Jaiswal, VP Babu, SP Singh 2020 21st National Power Systems Conference (NPSC), 1-6 , 2020 2020 Citations: 4
Single and two area LFC using RBF S Das, D Shukla, SP Singh 2015 International Conference on Recent Developments in Control, Automation … , 2015 2015 Citations: 4
Model predictive driven volt/var control for smart grid enabled cvr in active distribution network S Singh, SK Muwal, D Shukla, SP Singh 2018 IEEE 8th Power India International Conference (PIICON), 1-6 , 2018 2018 Citations: 3
Pmu emulation for static security analysis of power system D Shukla, SP Singh 2016 IEEE 7th Power India International Conference (PIICON), 1-6 , 2016 2016 Citations: 1
Integrated Transmission and Distribution Modelling using Multi-Agent based framework Devesh Shukla, S. P. Singh Big-data-analytics in Astronomy, Science and Engineering (BASE) 10 , 2022 2022
Block-chain Based Energy Trading in ADN with its probable impact on Aggregated Load Profile and Available Distribution Capability SPS Devesh Shukla, Shailendra Singh, Satyendra Pratap Singh, Amit Kumar Thakur 2020
