Electrical and Electronic Engineering, Control and Systems Engineering
13
Scopus Publications
497
Scholar Citations
10
Scholar h-index
10
Scholar i10-index
Scopus Publications
A Data-Driven Method for Online Gain Scheduling of Distributed Secondary Controller in Time-Delayed Microgrids Yang Xia, Yan Xu, Yu Wang, Weitao Yao, Suman Mondal, Souvik Dasgupta, Amit K. Gupta, Gaurav M. Gupta IEEE Transactions on Power Systems, 2024 Secondary control of a microgrid is to restore the frequency/voltage and share power among different units. However, due to time-delay issues in secondary control loops, system instability may happen. To solve this problem, a data-driven approach is proposed for scheduling the control gains to ensure the stability of the microgrid. By utilizing real-time measured current as input, the proposed method can appropriately adjust the control gain setting for the distributed secondary control to achieve a stable operation even under various time-delay scenarios. First, a time-delayed small-signal model is developed for microgrid stability analysis. Based on the damping ratio calculated from the small-signal model, a constrained soft actor-critic (SAC) algorithm is designed to learn an optimal policy of gain scheduling, which can improve the safety and efficiency of learning. Finally, case studies are carried out to validate that the proposed method can provide an optimal gain scheduling policy, which enhances the stability of microgrids during real-time operation.
A Transfer Learning-Based Method for Cyber-Attack Tolerance in Distributed Control of Microgrids Yang Xia, Yan Xu, Suman Mondal, Amit K. Gupta IEEE Transactions on Smart Grid, 2024 Distributed secondary control of a microgrid highly relies on information exchange via communication networks, which may be vulnerable to cyber-attacks. This paper aims to enhance the cyber-attack tolerance against various types of cyber-attacks, including false data injection (FDI) attack, denial of service (DoS) attack, latency attack. To this end, a data-driven signal estimator is developed based on a deep neural network (DNN), where the inputs are local sampled time-series measurements (frequency, voltage, active/reactive power) and the outputs are the sums of communicated signals from other units. To achieve a better generalization ability, a representation subspace distance (RSD)-based transfer learning model is designed for offline training. As an advantage, the proposed estimator can work for various working conditions without multiple training processes. For online stage, a reference tracking scheme is designed to recover the attacked signal based on the estimated signal, which mitigates or eliminates the effect of cyber-attacks. Finally, numerical case studies are presented to validate the effectiveness and advantages of the method.
Extendable Multisource Multilevel Inverter for Marine Electric Power System Shadab Murshid, Suman Mondal, Sivakumar Nadarajan, Xu Yan, Soong Boon Hee 12th International Conference on Smart Grid Icsmartgrid 2024, 2024 The decarbonization efforts being made in the marine industry has resulted in a rising number of ships being replaced from conventional internal combustion engine-based ships to electric ships. These large electric ships require variable frequency inverters for their operation. Owing to the numerous advantages such as increased efficiency and reduced size offered by medium voltage AC system, this paper proposes a reduced switch multisource multilevel inverter for marine electric power system. The presented configuration can produce a 13-Level output voltage waveform by utilizing only 8 power electronic switches. The proposed configuration also utilizes 2 power diodes, 2 capacitors and 2 asymmetric DC voltages sources. The output voltage levels can be enhanced further by cascading an extended unit comprising of a DC voltage sources and a power electronic switch. A level shifted pulse width modulation technique is employed for the generation of switching signals. The proposed configuration performance is verified using simulation studies utilizing MATLAB Simulink. The test results are observed for inverter performance under variable loading conditions. Comparative analysis is presented to ascertain competitive advantage of the proposed inverter.
Optimal Secondary Control of Islanded AC Microgrids with Communication Time-delay Based on Multi-agent Deep Reinforcement Learning Yang Xia, Yan Xu, Yu Wang, Suman Mondal, Souvik Dasgupta, et al. Csee Journal of Power and Energy Systems, 2023 In this paper, an optimal secondary control strategy is proposed for islanded AC microgrids considering communication time-delays.The proposed method is designed based on the data-driven principle, which consists of an offline training phase and online application phase.For offline training, each control agent is formulated by a deep neural network (DNN) and trained based on a multi-agent deep reinforcement learning (MA-DRL) framework.A deep deterministic policy gradient (DDPG) algorithm is improved and applied to search for an optimal policy of the secondary control, where a global cost function is developed to evaluate the overall control performance.In addition, the communication time-delay is introduced in the system to enrich training scenarios, which aims to solve the time-delay problem in the secondary control.For the online stage, each controller is deployed in a distributed way which only requires local and neighboring information for each DG.Based on this, the well-trained controllers can provide optimal solutions under load variations, and communication time-delays for online applications.Several case studies are conducted to validate the feasibility and stability of the proposed secondary control.
Self-Regulated Switched Capacitor Multilevel Inverter for Maritime Electrification Shadab Murshid, Suman Mondal, Dwaipayan Barman, Gaurav Gupta Mani, Amit Kumar Gupta IECON Proceedings Industrial Electronics Conference, 2023 Marine electrification offers an excellent solution towards curbing the emission of greenhouse gases. This work proposes a single-phase self-regulated switched capacitor multilevel (SCML) voltage source inverter (VSI) for maritime electrification. The proposed SCML-VSI utilizes 18 power electronic switches (PESs), 4 capacitors and 2 DC voltage sources for generating a 49-Level output voltage. The proposed SCML-VSI topology requires only 10 driver circuits as 16 PESs operate in complementary fashion. The Nearest level control strategy is utilized for the generation of switching pulses. The proposed 49-Level SCML-VSI can be extended for a higher number of output voltage levels through cascading of ternary units. Performance of the proposed SCML-VSI is realized through simulation studies using MATLAB® Simulink platform under different operating conditions.
A Safe Policy Learning-Based Method for Decentralized and Economic Frequency Control in Isolated Networked-Microgrid Systems Yang Xia, Yan Xu, Yu Wang, Suman Mondal, Souvik Dasgupta, Amit K. Gupta, Gaurav M. Gupta IEEE Transactions on Sustainable Energy, 2022 Multiple microgrids can be interconnected to form a networked-microgrid (NMG) system. In this paper, a data-driven decentralized economic frequency control method is proposed for isolated NMG systems. Based on multi-agent deep reinforcement learning (MA-DRL) framework, each DRL agent controls the generator and energy storage system (ESS) in each microgrid of the NMG. For offline training stage, the optimal control strategy is learned by soft actor-critic (SAC) algorithm with a global reward, which aims to restore system frequency while considering economy. Besides, to satisfy system constraints and avoid high learning costs, a safety model scheme is designed and trained to support each DRL agent. Since the agents are trained in the centralized learning process at offline stage, they are able to coordinate in a decentralized manner for online application, which only requires local information to generate optimal control actions. Also, the trained safety model can be applied for online stage to monitor and guide online actions. Finally, numerical tests are conducted to demonstrate the feasibility and effectiveness of the proposed method under the variation of renewable generation and load demand.
Model Predictive Control Strategy of Grid-tied Converter control in Weak-Grid conditions for Containerized Microgrid (CMG) Systems Gaurav Mani Gupta, Suman Mondal, Ali Iftekhar Maswood Proceedings of the 11th International Conference on Innovative Smart Grid Technologies Asia Isgt Asia 2022, 2022 This paper aims to present a novel approach to design a model predictive controller (MPC) strategy for 3-phase 2-level grid connected inverters in weak-grid conditions particularly for renewable based system with solar and battery energy storage. The proposed control strategy uses a predictive current control methodology to control the decoupled grid currents by predicting the switching states of the devices, which in turn control the power fed to grid while discharging and vice-versa. The MPC essentially a variable switching modulation strategy can excite the output filter near it's corner frequency, therefore resonance effect can observe and introduces lower order harmonics in output voltage and current. This paper propose a mitigation strategy for the resonance effect in LCL filter. The proposed active damping strategy doesn't compromise the dynamic performance of the power control of grid-tied inverters.
A Learning-Based Tolerance Method for False Data Injection Attacks in Microgrid Secondary Control Yang Xia, Yan Xu, Yu Wang, Suman Mondal, Aditya Venkataraman, Amit K. Gupta Asia Pacific Power and Energy Engineering Conference Appeec, 2022 Cyber-physical systems (CPS) are widely applied in the microgrid to realize real-time information exchange. On the other hand, it may be fragile to cyber-attacks on the communication network. This paper develops a learning-based tolerance method for distributed secondary controller, which mainly works against false data injection attacks (FDIAs). The main idea is to design a signal estimator based on random vector functional link (RVFL) network, where the inputs are localized measured signals and the outputs are the communicated signals from neighboring agents. For online stage, the estimated output is used as the reference of a tracking model for the communicated signal. Therefore, the abnormal communicated signal can be recovered, by which FDIA can be tolerated in the system. At the end, several test results are given to verify the applicability and reliability of the learning-based approach.
Multiagent Distributed Power Management of DC Shipboard Power Systems for Optimal Fuel Efficiency Yu Wang, Suman Mondal, Kuntal Satpathi, Yan Xu, Souvik Dasgupta, Amit Kumar Gupta IEEE Transactions on Transportation Electrification, 2021 Medium-voltage dc power systems have been recognized as a promising electrical architecture for marine vessels. Such shipboard power systems (SPSs) require advanced control architectures to ensure reliability and flexibility, as well as achieve fuel-efficient operation. With this regard, this article presents a multiagent distributed power management scheme to achieve voltage regulation and economic power-sharing of diesel generators (DGs) for optimal fuel efficiency in dc SPSs. Based on the power management signal, each DG will adjust its operating speed to minimize fuel oil consumption. All functions are realized in a distributed manner with only neighboring communications, which offers more reliability and flexibility compared to conventional centralized approaches. The proposed power management scheme is validated by the controller hardware-in-the-loop (CHIL) experiment. A dc SPS test system is developed in the OPAL-RT-based real-time simulator. The B&R programmable logic controllers and network switches are set up to realize the multiagent-based distributed control. The CHIL experimental results under different operation conditions demonstrate the feasibility and advantages of the proposed method.
Cyber-Resilient Cooperative Control of Bidirectional Interlinking Converters in Networked AC/DC Microgrids Yu Wang, Suman Mondal, Chao Deng, Kuntal Satpathi, Yan Xu, Souvik Dasgupta IEEE Transactions on Industrial Electronics, 2021 Bidirectional interlinking converters (BICs) are building blocks of the networked ac/dc microgrids (ac/dc NMGs). Such BICs are controlled using the communication assisted cooperative control thus forming tightly coupled cyber-physical systems (CPSs). One of lethal problems in such CPS is its vulnerability to cyber-attacks. In this article, a cyber-resilient cooperative control for BICs in ac/dc NMGs is proposed to enhance the system resilience under false signal injection attacks. The proposed control can maintain the frequency/voltage regulation and real/reactive power sharing among multiple BICs under both single and multiple node attacks. The suitability of the proposed method is supported by the stability analysis using Lyapunov methods. Efficacy of the proposed method is demonstrated by the controller hardware-in-the-loop (CHIL) experiment. An ac/dc NMG with four BICs is developed in the OPAL-RT-based real-time simulator. The cyber-resilient controllers are implemented on four commercial programmable logic controllers by B&R automation. The CHIL-based experimental results support the effectiveness of the proposed controller under various attack scenarios.
An Efficient Human-Animal Footfall Classifier for Desert Perimeter Surveillance using Seismic Sensors A Chakraborty, SRK Vadali, S Aruchamy, S Mondal, R Ray, S Nandy IEEE Sensors Letters , 2025 2025
Extendable Multisource Multilevel Inverter for Marine Electric Power System S Murshid, S Mondal, S Nadarajan, X Yan, SB Hee 2024 12th International Conference on Smart Grid (icSmartGrid), 782-787 , 2024 2024 Citations: 1
Self-Regulated Switched Capacitor Multilevel Inverter for Maritime Electrification S Murshid, S Mondal, D Barman, GG Mani, AK Gupta IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society … , 2023 2023
A data-driven method for online gain scheduling of distributed secondary controller in time-delayed microgrids Y Xia, Y Xu, Y Wang, W Yao, S Mondal, S Dasgupta, AK Gupta, GM Gupta IEEE Transactions on Power Systems 39 (3), 5036-5049 , 2023 2023 Citations: 25
A transfer learning-based method for cyber-attack tolerance in distributed control of microgrids Y Xia, Y Xu, S Mondal, AK Gupta IEEE Transactions on Smart Grid 15 (2), 1258-1270 , 2023 2023 Citations: 56
A learning-based tolerance method for false data injection attacks in microgrid secondary control Y Xia, Y Xu, Y Wang, S Mondal, A Venkataraman, AK Gupta 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference … , 2022 2022 Citations: 2
Model Predictive Control Strategy of Grid-tied Converter control in Weak-Grid conditions for Containerized Microgrid (CMG) Systems GM Gupta, S Mondal, AI Maswood 2022 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 364-368 , 2022 2022
Optimal secondary control of islanded AC microgrids with communication time-delay based on multi-agent deep reinforcement learning Y Xia, Y Xu, Y Wang, S Mondal, S Dasgupta, AK Gupta CSEE Journal of Power and Energy Systems 9 (4), 1301-1311 , 2022 2022 Citations: 33
A safe policy learning-based method for decentralized and economic frequency control in isolated networked-microgrid systems Y Xia, Y Xu, Y Wang, S Mondal, S Dasgupta, AK Gupta, GM Gupta IEEE Transactions on Sustainable Energy 13 (4), 1982-1993 , 2022 2022 Citations: 72
Multiagent distributed power management of DC shipboard power systems for optimal fuel efficiency Y Wang, S Mondal, K Satpathi, Y Xu, S Dasgupta, AK Gupta IEEE Transactions on Transportation Electrification 7 (4), 3050-3061 , 2021 2021 Citations: 21
Cyber-Resilient Control of Bidirectional Interlinking Converters in Networked AC/DC Microgrids W. Yu, S. Mondal, C. Deng, K. Satpathi, Y. Xu, and S. Dasgupta IEEE Trans. Ind. Electron. , 2020 2020 Citations: 83
Input reactive power controller with a novel active damping strategy for a matrix converter fed direct torque controlled DFIG for wind power generation S Mondal, D Kastha IEEE Journal of Emerging and Selected Topics in Power Electronics 8 (4 … , 2019 2019 Citations: 53
Application of Matrix Converters in Doubly Fed Induction Generator Based Wind Energy Conversion Systems S Mondal IIT Kharagpur , 2018 2018
Maximum active and reactive power capability of a matrix converter-fed DFIG-based wind energy conversion system S Mondal, D Kastha IEEE journal of emerging and selected topics in power electronics 5 (3 … , 2017 2017 Citations: 42
Wind turbine emulation using doubly fed induction motor SK Sahoo, S Mondal, D Kastha, AK Sinha, NK Kishore 2016 21st Century Energy Needs-Materials, Systems and Applications (ICTFCEN … , 2016 2016 Citations: 12
Improved direct torque and reactive power control of a matrix-converter-fed grid-connected doubly fed induction generator S Mondal, D Kastha IEEE Transactions on Industrial Electronics 62 (12), 7590-7598 , 2015 2015 Citations: 97
MOST CITED SCHOLAR PUBLICATIONS
Improved direct torque and reactive power control of a matrix-converter-fed grid-connected doubly fed induction generator S Mondal, D Kastha IEEE Transactions on Industrial Electronics 62 (12), 7590-7598 , 2015 2015 Citations: 97
Cyber-Resilient Control of Bidirectional Interlinking Converters in Networked AC/DC Microgrids W. Yu, S. Mondal, C. Deng, K. Satpathi, Y. Xu, and S. Dasgupta IEEE Trans. Ind. Electron. , 2020 2020 Citations: 83
A safe policy learning-based method for decentralized and economic frequency control in isolated networked-microgrid systems Y Xia, Y Xu, Y Wang, S Mondal, S Dasgupta, AK Gupta, GM Gupta IEEE Transactions on Sustainable Energy 13 (4), 1982-1993 , 2022 2022 Citations: 72
A transfer learning-based method for cyber-attack tolerance in distributed control of microgrids Y Xia, Y Xu, S Mondal, AK Gupta IEEE Transactions on Smart Grid 15 (2), 1258-1270 , 2023 2023 Citations: 56
Input reactive power controller with a novel active damping strategy for a matrix converter fed direct torque controlled DFIG for wind power generation S Mondal, D Kastha IEEE Journal of Emerging and Selected Topics in Power Electronics 8 (4 … , 2019 2019 Citations: 53
Maximum active and reactive power capability of a matrix converter-fed DFIG-based wind energy conversion system S Mondal, D Kastha IEEE journal of emerging and selected topics in power electronics 5 (3 … , 2017 2017 Citations: 42
Optimal secondary control of islanded AC microgrids with communication time-delay based on multi-agent deep reinforcement learning Y Xia, Y Xu, Y Wang, S Mondal, S Dasgupta, AK Gupta CSEE Journal of Power and Energy Systems 9 (4), 1301-1311 , 2022 2022 Citations: 33
A data-driven method for online gain scheduling of distributed secondary controller in time-delayed microgrids Y Xia, Y Xu, Y Wang, W Yao, S Mondal, S Dasgupta, AK Gupta, GM Gupta IEEE Transactions on Power Systems 39 (3), 5036-5049 , 2023 2023 Citations: 25
Multiagent distributed power management of DC shipboard power systems for optimal fuel efficiency Y Wang, S Mondal, K Satpathi, Y Xu, S Dasgupta, AK Gupta IEEE Transactions on Transportation Electrification 7 (4), 3050-3061 , 2021 2021 Citations: 21
Wind turbine emulation using doubly fed induction motor SK Sahoo, S Mondal, D Kastha, AK Sinha, NK Kishore 2016 21st Century Energy Needs-Materials, Systems and Applications (ICTFCEN … , 2016 2016 Citations: 12
A learning-based tolerance method for false data injection attacks in microgrid secondary control Y Xia, Y Xu, Y Wang, S Mondal, A Venkataraman, AK Gupta 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference … , 2022 2022 Citations: 2
Extendable Multisource Multilevel Inverter for Marine Electric Power System S Murshid, S Mondal, S Nadarajan, X Yan, SB Hee 2024 12th International Conference on Smart Grid (icSmartGrid), 782-787 , 2024 2024 Citations: 1
An Efficient Human-Animal Footfall Classifier for Desert Perimeter Surveillance using Seismic Sensors A Chakraborty, SRK Vadali, S Aruchamy, S Mondal, R Ray, S Nandy IEEE Sensors Letters , 2025 2025
Self-Regulated Switched Capacitor Multilevel Inverter for Maritime Electrification S Murshid, S Mondal, D Barman, GG Mani, AK Gupta IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society … , 2023 2023
Model Predictive Control Strategy of Grid-tied Converter control in Weak-Grid conditions for Containerized Microgrid (CMG) Systems GM Gupta, S Mondal, AI Maswood 2022 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 364-368 , 2022 2022
Application of Matrix Converters in Doubly Fed Induction Generator Based Wind Energy Conversion Systems S Mondal IIT Kharagpur , 2018 2018
