| A comparative study of two widely used grid-forming droop controls on microgrid small-signal stability W Du, Z Chen, KP Schneider, RH Lasseter, SP Nandanoori, FK Tuffner, ... IEEE Journal of Emerging and Selected Topics in Power Electronics 8 (2), 963-975, 2019 | 318 | 2019 |
| Sensitivity of transient stability critical clearing time S Sharma, S Pushpak, V Chinde, I Dobson IEEE Transactions on Power Systems 33 (6), 6476-6486, 2018 | 47 | 2018 |
| Distributed small-signal stability conditions for inverter-based unbalanced microgrids SP Nandanoori, S Kundu, W Du, FK Tuffner, KP Schneider IEEE Transactions on Power Systems 35 (5), 3981-3990, 2020 | 44 | 2020 |
| Distributed barrier certificates for safe operation of inverter-based microgrids S Kundu, S Geng, SP Nandanoori, IA Hiskens, K Kalsi 2019 American Control Conference (ACC), 1042-1047, 2019 | 33 | 2019 |
| Model-agnostic algorithm for real-time attack identification in power grid using Koopman modes SP Nandanoori, S Kundu, S Pal, K Agarwal, S Choudhury 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 32 | 2020 |
| Koopman operator methods for global phase space exploration of equivariant dynamical systems S Sinha, SP Nandanoori, E Yeung IFAC-PapersOnLine 53 (2), 1150-1155, 2020 | 28 | 2020 |
| Virtual battery parameter identification using transfer learning based stacked autoencoder I Chakraborty, SP Nandanoori, S Kundu 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 26 | 2018 |
| Graph neural network and Koopman models for learning networked dynamics: A comparative study on power grid transients prediction SP Nandanoori, S Guan, S Kundu, S Pal, K Agarwal, Y Wu, S Choudhury IEEE Access 10, 32337-32349, 2022 | 25 | 2022 |
| Prioritized threshold allocation for distributed frequency response SP Nandanoori, S Kundu, D Vrabie, K Kalsi, J Lian 2018 IEEE Conference on Control Technology and Applications (CCTA), 237-244, 2018 | 24 | 2018 |
| Data-driven operator theoretic methods for global phase space learning SP Nandanoori, S Sinha, E Yeung 2020 American Control Conference (ACC), 4551-4557, 2020 | 23 | 2020 |
| Hierarchical, grid-aware, and economically optimal coordination of distributed energy resources in realistic distribution systems M Almassalkhi, S Brahma, N Nazir, H Ossareh, P Racherla, S Kundu, ... Energies 13 (23), 6399, 2020 | 22 | 2020 |
| Data driven online learning of power system dynamics S Sinha, SP Nandanoori, E Yeung 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 21* | 2020 |
| Identification and validation of virtual battery model for heterogeneous devices SP Nandanoori, I Chakraborty, T Ramachandran, S Kundu 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 21 | 2019 |
| Mean square stability analysis of stochastic continuous-time linear networked systems SP Nandanoori, A Diwadkar, U Vaidya IEEE Transactions on Automatic Control 63 (12), 4323-4330, 2018 | 16* | 2018 |
| Identifying parameter space for robust stability in nonlinear networks: A microgrid application S Kundu, W Du, SP Nandanoori, F Tuffner, K Schneider 2019 American Control Conference (ACC), 3111-3116, 2019 | 13 | 2019 |
| Data-driven stabilization of discrete-time control-affine nonlinear systems: A Koopman operator approach S Sinha, SP Nandanoori, J Drgona, D Vrabie 2022 European Control Conference (ECC), 552-559, 2022 | 12 | 2022 |
| Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder* I Chakraborty, SP Nandanoori, S Kundu, K Kalsi 2020 American Control Conference (ACC), 1305-1310, 2020 | 12 | 2020 |
| Data-driven distributed learning of multi-agent systems: A koopman operator approach SP Nandanoori, S Pal, S Sinha, S Kundu, K Agarwal, S Choudhury 2021 60th IEEE Conference on Decision and Control (CDC), 5059-5066, 2021 | 9 | 2021 |
| Koopman operators for generalized persistence of excitation conditions for nonlinear systems N Boddupalli, A Hasnain, SP Nandanoori, E Yeung 2019 IEEE 58th Conference on Decision and Control (CDC), 8106-8111, 2019 | 9* | 2019 |
| Data-driven operator theoretic methods for phase space learning and analysis SP Nandanoori, S Sinha, E Yeung Journal of Nonlinear Science 32 (6), 95, 2022 | 8 | 2022 |
Soumya KunduPacific Northwest National Laboratory, University of Vermont, Washington State UniversityVerified email at pnnl.gov
