GPS Navigation Data Suitable for Spoofing Mitigation Studies
Available on GitHub.
A. Khalajmehrabadi has collected GPS navigation data (satellite IDs, pseudoranges, pseudorange rates, satellite positions, satellite velocities, and related uncertainty matrices) from a stationary GPS receiver on the UTSA campus. These data are useful for GPS spoofing mitigation studies, and especially in stationary applications such as Phasor Measurement Units.
We used these data to validate the spoofing mitigation algorithm in the following paper:
- A. Khalajmehrabadi, N. Gatsis, D. Akopian, and A. F. Taha, “Real-Time Rejection and Mitigation of Time Synchronization Attacks on the Global Positioning System,” IEEE Trans. Industrial Electronics, vol. 65, no. 8, pp. 6425–6435, Aug. 2018. Available on IEEEXplore and arXiv.
Optimal Power Flow with Step-Voltage Regulators in Multi-Phase Distribution Networks
Available on GitHub.
M. Bazrafshan has developed MATLAB codes for an SDP based relaxation of optimal power flow that includes tap selection of step-voltage regulators most commonly used in distribution networks (wye, closed-delta, and open-delta connected).
The codes correspond to the theoretical results in the following paper:
- M. Bazrafshan, N. Gatsis, and H. Zhu, “Optimal Tap Selection of Step-Voltage Regulators in Multi-Phase Distribution Networks,” in Proc. Power System Computation Conf., Dublin, Ireland, June 2018, pp. 1–7. Available on IEEEXplore.
Comprehensive Modeling of Three-Phase Distribution Feeders
Available on GitHub.
M. Bazrafshan has developed MATLAB codes for modeling various components of three-phase distribution networks, including transmission lines with missing phases, ideal and non-ideal voltage regulators, and transformers, and for building the bus admittance matrix. The codes are applied to the following distribution feeders:
- IEEE 37-bus feeder
- IEEE 123-bus feeder
- 8500-node feeder (medium-voltage section)
- European 906-bus low voltage feeder
The Z-Bus method is used to compute the power flow solutions, and the results are shown to be matching the benchmarks provided by IEEE and the OpenDSS software by EPRI.
The codes correspond to the theoretical results in the following paper:
- M. Bazrafshan and N. Gatsis, “Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix,” IEEE Trans. Power Systems, vol. 33, no. 2, pp. 2015–2029, Mar. 2018. Available on IEEEXplore and arXiv.
Power Flow Methods for Three-Phase Distribution Feeders
Available on GitHub.
M. Bazrafshan has developed MATLAB codes for running the Z-Bus and forward-backward sweep power flow methods in three-phase distribution feeders. The codes are applied to the IEEE 13-, 37- and 123-bus distribution feeders, and account for missing phases, three-phase trasformers, and constant-power, constant-impedance, and constant-current loads.
The codes correspond to the theoretical results developed in the following papers:
- M. Bazrafshan and N. Gatsis, “Convergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 153–165, Jan 2018. Available on IEEEXplore and arXiv.
- M. Bazrafshan and N. Gatsis, “On the Solution of the Three-Phase Load-Flow in Distribution Networks,” in Proc. 50th Asilomar Annual Conf. Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2016, pp. 303–307.
Power Flow Methods for Single-Phase Distribution Feeders
Available on GitHub.
M. Bazrafshan has developed MATLAB codes for modeling single-phase versions of the IEEE 13-, 37- and 123-bus distribution feeders, and for running the Z-Bus power flow method.
The single-phase version is obtained by considering the positive sequence of the corresponding three-phase feeder. Constant-power, constant-impedance, and constant-current loads are included.
These codes correspond to the theoretical results developed in the following paper:
- M. Bazrafshan and N. Gatsis, “Convergence of the Z-Bus Method and Existence of Unique Solution in Single-Phase Distribution Load-Flow,” in Proc. 4th IEEE Global Conf. Signal and Information Processing, Washington, DC, Dec. 2016, pp. 851–855. Presentation available on SigPort.
Placement and Sizing of Inverter-Based Renewable Systems in Multi-Phase Distribution Networks
Available on GitHub.
M. Bazrafshan has developed MATLAB codes for placement and sizing of inverter-based renewable systems in multi-phase distribution networks. The uncertainty in the loads and renewable energy generation is characterized by a finite set of scenarios. Linear multi-phase power flow approximations and scenario reduction techniques are used to arrive at a tractable two-stage stochastic program.
The codes correspond to the results in the following paper:
- M. Bazrafshan, N. Gatsis, and E. Dall’Anese, “Placement and Sizing of Inverter-Based Renewable Systems in Multi-Phase Distribution Networks,” IEEE Trans. Power Systems, in press. Available in IEEEXplore.
Wireless LAN Fingerprinting Data
Available on GitHub.
A. Khalajmehrabadi has collected wireless LAN fingerprinting data from two floors in the AET and BSE buildings at UTSA. These data are available for use by researchers working on indoor localization.
We used these data to benchmark the methods developed in the following papers:
- A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges,” IEEE Communications Surveys and Tutorials, vol. 19, no. 3, pp. 1974–2002, third quarter 2017. Available on arXiv.
- A. Khalajmehrabadi, N. Gatsis, D. Pack, and D. Akopian, “A Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques,” IEEE Trans. Mobile Computing, vol. 16, no. 8 pp. 2079–2092, Aug. 2017. Available on arXiv.
- A. Khalajmehrabadi, N. Gatsis, and D. Akopian, “Structured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme,” IEEE Trans. Vehicular Technology, vol. 66, no. 7, pp. 6498–6510, July 2017. Available on arXiv.