Journal and Preprints

  1. Z. Wang, D. Kirschen, and B. Zhang, “Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems,” Submitted to IEEE Transactions on Power Systems, 2018.
  2. S. Sekar, L. Zheng, L. Ratliff, and B. Zhang, “Uncertainty in Multi-Commodity Routing Networks: When does it help?,” Submitted to IEEE Transactions on Automatic Control, 2018.
  3. Y. Chen, Y. Wang, D. Kirschen, and B. Zhang, “Model-Free Renewables Scenario Generation Using Generative Adversarial Networks,” To Appear in IEEE Transaction on Power Systems, 2018.
  4. J. E. Contreras-Ocana, M. A. Ortega-Vazquez, D. Kirschen, and B. Zhang, “Tractable and Robust Modeling of Building Flexibility Using Coarse Data,” To Appear in IEEE Transactions on Power Systems, 2018.
  5. C. Tang, Y. Wang, J. Xu, Y. Sun, and B. Zhang, “Economic Dispatch Considering Spatial and Temporal Correlations of Multiple Renewable Power Plants,” Submitted to Applied Energy, 2018.
  6. N. Mazzi, B. Zhang, and D. S. Kirschen, “An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks,” To Appear in IEEE Transactions on Power Systems, 2018.
  7. B. Xu, Y. Shi, D. S. Kirschen, and B. Zhang, “Optimal Battery Participation in Frequency Regulation Markets,” Submitted to IEEE Transactions on Power Systems, 2018.
  8. P. Li and B. Zhang, “Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach,” Submitted to IEEE Transaction on Power Systems, 2017.
  9. Q. He, Y. Yang, and B. Zhang, “Information Management for Decentralized Energy Storages under Market Uncertainties,” Submitted to IEEE Transaction on Control of Networked Systems, 2017.
  10. Y. Shi, B. Xu, D. Wang, and B. Zhang, “Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains,” To Appear in IEEE Transaction on Power Systems, 2017.
  11. B. Zhang, R. Johari, and R. Rajagopal, “Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency,” Submitted to IEEE Transaction on Control of Networked Systems, 2017.
  12. J. E. Contreras-Ocaña, M. A. Ortega-Vazquez, and B. Zhang, “Participation of an Energy Storage Aggregator in Electricity Markets,” To Appear in IEEE Transactions on Smargrid, 2017.
  13. Y. Weng, R. Rajagopal, and B. Zhang, “Geometric Understanding of Power Flow Equations and its Applications in Power Systems,” Submitted to IEEE Transaction on Power Systems, 2017.
  14. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “A Sparse Linear Model and Significance Test for Individual Consumption Prediction,” IEEE Transactions on Power Systems, 2017.
  15. P. Li, H. Wang, and B. Zhang, “A Distributed Online Pricing Strategy for Demand Response Programs,” To Appear in IEEE Transactions on Smartgrid, 2017.
  16. Y. Shi, B. Xu, Y. Tan, and B. Zhang, “Optimal Battery Control Under Cycle Aging Mechanisms,” Submitted to IEEE Transactions on Automatic Control, 2017.
  17. B. Zhang, R. Johari, and R. Rajagopal, “Competition and Coalition Formation of Renewable Power Producers,” IEEE Transactions on Power Systems, vol. 30, no. 3, pp. 1624–1632, May 2015.
  18. B. Zhang, A. Lam, Domı́nguez-Garcı́a Alejandro D, and D. Tse, “An optimal and distributed method for voltage regulation in power distribution systems,” Power Systems, IEEE Transactions on, vol. 30, no. 4, pp. 1714–1726, 2015.
  19. B. Zhang, R. Rajagopal, and D. Tse, “Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty,” IEEE Transactions on Automatic Control, vol. 59, no. 9, pp. 2442–2456, Sep. 2014.
  20. J. Lavaei, D. Tse, and B. Zhang, “Geometry of power flows and optimization in distribution networks,” Power Systems, IEEE Transactions on, vol. 29, no. 2, pp. 572–583, 2014.
  21. B. Zhang and D. Tse, “Geometry of injection regions of power networks,” Power Systems, IEEE Transactions on, vol. 28, no. 2, pp. 788–797, 2013.
  22. S. B. Kuntze, B. Zhang, L. Pavel, and J. S. Aitchison, “Impact of Feedback Delay on Closed-Loop Stability in Semiconductor Optical Amplifier Control Circuits,” Journal of Lightwave Technology, vol. 27, no. 9, pp. 1095–1107, May 2009.

Conference Proceedings

  1. Y. Shi, B. Xu, Y. Tan, and B. Zhang, “A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation,” in Proceedings of American Control Conference, 2018.
  2. Y. Weng, A. Kumar, M. Saleem, and B. Zhang, “Big Data and Deep Learning Platform for Terabyte-Scale Renewable Datasets,” in Power Systems Computation Conference (PSCC), 2018.
  3. Y. Chen, X. Wang, and B. Zhang, “An Unsupervised Deep Learning Approach for Scenario Forecasts,” in Power Systems Computation Conference (PSCC), 2018.
  4. H. Wang and B. Zhang, “Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning,” in Power and Energy Society General Meeting, 2018.
  5. Y. Chen, P. Li, and B. Zhang, “Bayesian Renewables Scenario Generation via Deep Generative Networks,” in Conference on Information Sciences and Systems (CISS), 2018.
  6. T. Fiez, L. J. Ratliff, C. Dowling, and B. Zhang, “Data Driven Spatio-Temporal Modeling of Parking Demand,” in Proceedings of American Control Conference, 2018.
  7. J. E. Contreras-Ocana, U. Siddiqi, and B. Zhang, “Non-Wire Alternatives to Capacity Expansion,” in Power and Energy Society General Meeting, 2018.
  8. C. Dowling, T. Fiez, L. Ratliff, and B. Zhang, “How Much Urban Traffic is Searching for Parking?,” in submitted to ICCPS, 2017.
  9. C. Dowling, T. Fiez, L. Ratliff, and B. Zhang, “Optimizing Curbside Parking Resources Subject to Congestion Constraints,” in IEEE Conference on Decision and Control, 2017.
  10. C. Riquelme, R. Johari, and B. Zhang, “Online Active Learning Via Thresholding,” in Proceedings of AAAI Conference on Artificial Intelligence, 2017.
  11. B. Xu, Y. Shi, D. Kirschen, and B. Zhang, “Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms,” in IEEE Conference on Decision and Control, 2017.
  12. Y. Chen, Y. Shi, and B. Zhang, “Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks,” in Asilomar Conference, 2017.
  13. P. Li and B. Zhang, “Distribution System Voltage Control under Uncertainties,” in Asilomar Conference, 2017.
  14. P. Li and B. Zhang, “An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect,” in Proceedings of the Allerton Conference on Communication, Control and Computing, 2016.
  15. L. J. Ratliff, C. Dowling, E. Mazumdar, and B. Zhang, “To Observe or Not to Observe: Queuing Game Framework for Urban Parking,” in Submitted to IEEE Conference on Decision and Control, 2016.
  16. Y. Shi, B. Xu, B. Zhang, and D. Wang, “Leveraging energy storage to optimize data center electricity cost in emerging power markets,” in ACM E-Energy 2016, 2016.
  17. H. Hosseini, S. Kannan, B. Zhang, and R. Poovendran, “Learning Temporal Dependence from Time-Series Data with Latent Variables,” in Proc. IEEE Int. Conf. Data Science and Advanced Analytics (DSAA), 2016, pp. 253–262.
  18. P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “Autoregressive model for individual consumption data - Sparsity recovery and significance test,” in Proc. IEEE Power and Energy Society General Meeting (PESGM), 2016, pp. 1–5.
  19. P. Li and B. Zhang, “Estimating treatment effects in demand response,” in Proc. IEEE Statistical Signal Processing Workshop (SSP), 2016, pp. 1–5.
  20. G. Cezar, R. Rajagopal, and B. Zhang, “Stability of interconnected DC converters,” in Proc. 54th IEEE Conf. Decision and Control (CDC), 2015, pp. 9–14.
  21. Y. Yu, B. Zhang, and R. Rajagopal, “Do wind power producers have market power and exercise it?,” in Proc. IEEE PES General Meeting | Conf. Exposition, 2014, pp. 1–5.
  22. S. Patel, R. Sevlian, B. Zhang, and R. Rajagopal, “Aggregation for load servicing,” in PES General Meeting| Conference & Exposition, 2014 IEEE, 2014, pp. 1–5.
  23. B. Zhang, R. Rajagopal, and D. Tse, “Risk limiting dispatch in congested networks,” in Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, 2013, pp. 7568–7575.
  24. B. Zhang, A. D. Dominguez-Garcia, and D. Tse, “A local control approach to voltage regulation in distribution networks,” in Proc. North American Power Symp. (NAPS), 2013, pp. 1–6.
  25. J. Qin, B. Zhang, and R. Rajagopal, “Risk limiting dispatch with ramping constraints,” in Proc. IEEE Int Smart Grid Communications (SmartGridComm) Conf, 2013, pp. 791–796.
  26. A. Lam, B. Zhang, and D. N. Tse, “Distributed algorithms for optimal power flow problem,” in Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 2012, pp. 430–437.
  27. R. Rajagopal, D. Tse, and B. Zhang, “Risk limiting dispatch in congested networks,” in Proc. 50th Annual Allerton Conf. Communication, Control, and Computing (Allerton), 2012, pp. 1900–1907.
  28. J. Lavaei, D. Tse, and B. Zhang, “Geometry of power flows in tree networks,” in Power and Energy Society General Meeting, 2012 IEEE, 2012, pp. 1–8.
  29. B. Zhang and D. Tse, “Geometry of feasible injection region of power networks,” in Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on, 2011, pp. 1508–1515.
  30. Y. Kanoria, A. Montanari, D. Tse, and B. Zhang, “Distributed storage for intermittent energy sources: Control design and performance limits,” in Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on, 2011, pp. 1310–1317.
  31. B. Zhang and M. D. Trott, “Reference-free audio matching for rendezvous,” in Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, 2010, pp. 3570–3573.
  32. B. Zhang, S. B. Kuntze, L. Pavel, and J. S. Aitchison, “Delay-tolerant control design for Semiconductor Optical Amplifiers,” in American Control Conference, 2008, 2008, pp. 4154–4160.

Thesis

  1. B. Zhang, “Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch,” PhD thesis, University of California, Berkeley, 2013.