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Energy and Environment Directorate

Sai Pushpak Nandanoori

Sai Pushpak Nandanoori

(509) 372-4803

Biography

Sai Pushpak joined Pacific Northwest National Laboratory (PNNL) in 2018. Currently, at PNNL, he is working on effective utilization and integration of Distributed Energy Resources (DERs) for normal stable operation and also to provide service during extreme events. Prior to joining PNNL, he was a research assistant at Iowa State University where he focused on understanding the effect of parametric uncertainty, communication/sensor uncertainty in networked dynamical systems and applied it to understand various problems in power systems. Most importantly, he worked on the stochastic small-signal stability of power network with uncertain wind generation. Further, he developed a sparsity promoting algorithm to achieve power-sharing among generators in a Microgrid. In 2017, he was an intern at PNNL where he worked on the demand side control to achieve frequency regulation.

Research Interests

  • Modeling, Stability Analysis and Control of Networked Systems,
  • Distributive Control and Optimization Applications,
  • Stochastic Small-signal Stability Analysis and Robust Control of Power Networks

Education and Credentials

  • Ph.D., Electrical and Computer Engineering, Iowa State University, Ames, IA, USA
  • M.S., Electrical Engineering, Indian Institute of Technology Madras, Chennai, TN, India, July 2012
  • B. Tech, Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry, India, May 2009

Affiliations and Professional Service

  • Student member of IEEE Power & Energy Society, IEEE Control Systems Society

Awards and Recognitions

  • Reviewer for ASME Journal of Dynamic Systems, Measurements and Control,
  • Indian Control Conference, ASME Dynamic Systems and Control Conference,
  • IEEE Conference on Decision and Control

PNNL Publications

2024

2023

  • Nandanoori S., S. Sinha, C. Bakker, T. Ramachandran, and B. Huang. 2023. Operator-theoretic Resilience Calculations (ORC). PNNL-34858. Richland, WA: Pacific Northwest National Laboratory. Operator-theoretic Resilience Calculations (ORC)
  • Roy S., S. Nandanoori, S. Sarker, S. Kundu, and V.A. Adetola. 2023. "Disturbance Propagation Stability in Droop-Controlled Microgrids." In American Control Conference (ACC 2023), May 31-June 2, 2023, San Diego, CA, 3472-3477. Piscataway, New Jersey:IEEE. PNNL-SA-178344. doi:10.23919/ACC55779.2023.10156216
  • Sinha S., S. Nandanoori, and D.A. Barajas-Solano. 2023. "Online Real-time Learning of Dynamical Systems from Noisy Streaming Data." Scientific Reports 13. PNNL-SA-180617. doi:10.1038/s41598-023-49045-w

2022

  • Bouvier J.H., S. Nandanoori, M. Ornik, and S. Kundu. 2022. "Distributed Transient Safety Verification via Robust Control Invariant Sets: A Microgrid Application." In American Control Conference (ACC 2022), June 8-10, 2022, Atlanta, GA, 2202-2207. Piscataway, New Jersey:IEEE. PNNL-SA-167568. doi:10.23919/ACC53348.2022.9867323
  • Mukherjee S., S. Nandanoori, S. Guan, K. Agarwal, S. Sinha, S. Kundu, and S. Pal, et al. 2022. "Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems." In First Learning on Graphs Conference (LoG 2022), December 9-12, 2022, Virtual, Online. Proceedings of Machine Learning Research, 198, 1-17. Maastricht:ML Research Press. PNNL-SA-173554.
  • Nandanoori S., S. Guan, S. Kundu, S. Pal, K. Agarwal, Y. Wu, and S. Choudhury. 2022. "Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction." IEEE Access 10. PNNL-SA-161313. doi:10.1109/ACCESS.2022.3160710
  • Nandanoori S., S. Kundu, J. Lian, U. Vaidya, D.L. Vrabie, and K. Kalsi. 2022. "Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees." IEEE Transactions on Power Systems 37, no. 1:167 - 178. PNNL-SA-156076. doi:10.1109/TPWRS.2021.3095827
  • Nandanoori S., S. Sinha, and E. Yeung. 2022. "Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis." Journal of Nonlinear Science 32, no. 6:Art. No. 95. PNNL-SA-164729. doi:10.1007/s00332-022-09851-4
  • Sinha S., S. Nandanoori, T. Ramachandran, C. Bakker, and A. Singhal. 2022. "Data-driven Resilience Characterization of Control Dynamical Systems." In American Control Conference (ACC 2022), June 8-10, 2022, Atlanta, GA, 2186-2193. Piscataway, New Jersey:IEEE. PNNL-SA-166887. doi:10.23919/ACC53348.2022.9867785

2021

  • Nandanoori S., S. Pal, S. Sinha, S. Kundu, K. Agarwal, and S. Choudhury. 2021. "Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach." In IEEE 60th Conference on Decision and Control (CDC 2021), December 14-17, 2021, Austin, TX, 5059-5066. Piscataway, New Jersey:IEEE. PNNL-SA-160981. doi:10.1109/CDC45484.2021.9682872

2020

  • Almassalkhi M., S. Brahma, N. Nazir, H. Ossareh, P. Racherla, S. Kundu, and S. Nandanoori, et al. 2020. "Hierarchical, grid-aware, and economically optimal coordination of distributed energy resources in realistic distribution systems." Energies 13, no. 23:6399. PNNL-SA-157505. doi:10.3390/en13236399
  • Chakraborty I., S. Nandanoori, S. Kundu, and K. Kalsi. 2020. "Stochastic Virtual Battery Modeling of Uncertain Electrical Loads using Variational Autoencoder." In American Control Conference (ACC 2020), July 1-3, 2020, Denver, CO, 1305-1310. Piscataway, New Jersey:IEEE. PNNL-SA-147862. doi:10.23919/ACC45564.2020.9147609
  • Du W., Z. Chen, K.P. Schneider, R.H. Lasseter, S. Nandanoori, F.K. Tuffner, and S. Kundu. 2020. "A Comparative Study of Two Widely Used Grid-Forming Droop Controls on Microgrid Small Signal Stability." IEEE Journal of Emerging and Selected Topics in Power Electronics 8, no. 2:963 - 975. PNNL-SA-144351. doi:10.1109/JESTPE.2019.2942491
  • Nandanoori S., S. Kundu, S. Pal, K. Agarwal, and S. Choudhury. 2020. "Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes." In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2020), November 11-13, 2020, Tempe AZ, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-154191. doi:10.1109/SmartGridComm47815.2020.9303022
  • Nandanoori S., S. Kundu, W. Du, F.K. Tuffner, and K.P. Schneider. 2020. "Distributed Small-Signal Stability Conditions for Inverter-Based Unbalanced Microgrids." IEEE Transactions on Power Systems 35, no. 5:3981 - 3990. PNNL-SA-146963. doi:10.1109/TPWRS.2020.2982795
  • Nandanoori S., S. Sinha, and E. Yeung. 2020. "Data-Driven Operator Theoretic Methods for Global Phase Space Learning." In American Control Conference (ACC 2020), July 1-3, 2020, Denver, CO, 4551-4557. Piscataway, New Jersey:IEEE. PNNL-SA-147886. doi:10.23919/ACC45564.2020.9147220
  • Sinha S., S. Nandanoori, and E. Yeung. 2020. "Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach." In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm 2020), November 11-13, 2020, Tempe, AZ, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-154207. doi:10.1109/SmartGridComm47815.2020.9302960
  • Sinha S., S. Nandanoori, and E. Yeung. 2020. "Data Driven Online Learning of Power System Dynamics." In IEEE Power & Energy Society General Meeting (PESGM 2020), August 2-6, 2020, Montreal, Canada, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-149170. doi:10.1109/PESGM41954.2020.9281781
  • Sinha S., S. Nandanoori, and E. Yeung. 2020. "Koopman Operator Methods for Global Phase Space Exploration of Equivariant Dynamical Systems." In 21st IFAC World Congress, July 12-17, 2020, Berlin, Germany. IFAC-PapersOnLine, edited by R. Findeisen, S. Hirche, K. Janschek and M. Monnigmann, 53, 1150-1155. PNNL-SA-149427. doi:10.1016/j.ifacol.2020.12.1322

2019

  • Boddupalli N., A. Hasnain, S. Nandanoori, and E. Yeung. 2019. "Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems." In Proceedings of the IEEE 58th Conference on Decision and Control (CDC 2019), December 11-13, 2019, Nice, France, 8106-8111. Piscataway, New Jersey:IEEE. PNNL-SA-150021. doi:10.1109/CDC40024.2019.9029365
  • Kundu S., S. Geng, S. Nandanoori, I.A. Hiskens, and K. Kalsi. 2019. "Distributed Barrier Certificates for Safe Operation of Inverter-Based Microgrids." In American Control Conference (2019), July 10-12. 2019, Philadelphia, PA, 1042 - 1047. Piscataway, New Jersey:IEEE. PNNL-SA-138452. doi:10.23919/ACC.2019.8815296
  • Kundu S., W. Du, S. Nandanoori, F.K. Tuffner, and K.P. Schneider. 2019. "Identifying Parameter Space for Robust Stability in Nonlinear Networks: A Microgrid Application." In 2019 American Control Conference, 3111-3116. PNNL-SA-139867. doi:10.23919/ACC.2019.8814324
  • Nandanoori S., I. Chakraborty, T. Ramachandran, and S. Kundu. 2019. "Identification and Validation of Virtual Battery Model for Heterogeneous Devices." In Proceedings of the IEEE Power & Energy Society General Meeting (PESGM 2019), August 4-8, 2019, Atlanta, GA. Piscataway, New Jersey:IEEE. PNNL-SA-139434. doi:10.1109/PESGM40551.2019.8973978
  • Ramachandran T., A.P. Reiman, S. Nandanoori, M.J. Rice, and S. Kundu. 2019. "Distribution System State Estimation in the Presence of High Solar Penetration." In American Controls Conference (ACC 2019), July 10-12, 2019, Philadelphia, PA, 3432-3437. Piscataway, New Jersey:IEEE. PNNL-SA-138831. doi:10.23919/ACC.2019.8814486

2018

  • Chakraborty I., S. Nandanoori, and S. Kundu. 2018. "Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder." In 17th IEEE International Conference on Machine Learning and Applications (ICMLA 2018), December 17-20, 2018, Orlando, Florida. Piscataway, New Jersey:IEEE. PNNL-SA-137721. doi:10.1109/ICMLA.2018.00206

Selected Publications

2018

  • Sai Pushpak, Amit Diwadkar, and Umesh Vaidya. Mean Square Stability Analysis and Synthesis of Stochastic Continuous-time Linear Networked Systems, to appear in IEEE transactions on Automatic Control 2018.

2014

  • Sai Pushpak, Arun D. Mahindrakar, and Anup Ekbote. Semistability Analysis of the Chaplygin Sleigh and Nonsmooth Mechanical Oscillator, ASME Journal of Dynamic Systems, Measurement, and Control 136.3 (2014): 034505, doi: 10.1115/1.4026653.

Energy and Environment

Core Research Areas

Contacts