PARS Platform
Photovoltaic (PV) Analysis and Response Support (PARS) platform
This project is funded by the Department of Energy, SETO office, ASSIST program.
Githhub Site
lease click here to access the GitHub repository for sharing data, models, and algorithms.
Objective: Develop a Photovoltaic (PV) Analysis and Response Support (PARS) platform as a power grid digital twin that provides real-time situational awareness and optimal response plan selection.
Major Presentations
Overviews of the PARS platform
An overview of the PARS platform by Dr. Ning Lu at the MIT Seminar series.
An Overview of the PARS Platform by Dr. Ning Lu at the DOE workshop.
PARS Energy Management Systems
Energy management systems by Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu. at the FREEDM seminar series.
demo 1 by Rongxing Hu: MW microgrid: https://youtu.be/1kIBTnE8V24; Demo link 2: A recording of one complete run: https://youtu.be/b5sv8SozFSk
demo 2: mobile storage by Valliappan Muthukaruppan: Presentation Link: https://youtu.be/Sr-OC075gZo; Demo link: https://youtu.be/I885azl3hpU
demo 3: community microgrid by Ashwin Shirsat: https://youtu.be/z1D5T1R9abI
PARS Situation Awareness:
FeederGan presentation: https://www.youtube.com/watch?v=r8cmSDyxIJ8. By Dr. Ming Liang at PES General meeting
ProfileSR-GAN: https://www.youtube.com/watch?v=nBkwTqHplh8&t=30s By Lidong Song at the FREEDM seminar series.
Meta-learning based load forecasting tool by Dr. Yiyan Li at the FREEDM seminar series.
Bigdata Seminar about the machine learning based methods used to develop the PARS platform: https://www.public.asu.edu/~kghosh10/Tutorial5/56_talk_lu_li_song.html
PARS Hardware-in-the-loop Team
Fuhong Xie: Battery Parameterization at FREEDM Tech Seminar Series
Victor Paduani: Maximum Power Reference Tracking Algorithm for Power Curtailment of PV Systems, 21PESGM0055 - Best paper session
Jiyu Wang: “A data-driven Pivot-point-based Time-series Feeder Load Disaggregation Method”, 21PESGM0790
Major Publications By Budget Period
Budget Period 3 (March 2021 - March 2023)
Victor Paduani, Qi Xiao, Bei Xu, David Lubkeman, and Ning Lu. "Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services", submitted to IEEE Transactions on power systems. https://arxiv.org/abs/2212.03803
Li, Yiyan, Lidong Song, Yi Hu, Hanpyo Lee, Di Wu, P. J. Rehm, and Ning Lu. "Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation." arXiv preprint arXiv:2211.16332 (2022).
Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, and Ning Lu, "MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations," submitted to IEEE Transactions on Smart Grid (2022). Available online at: https://arxiv.org/abs/2210.01167
Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu, "A Novel Data Segmentation Based Approach for Meter Topology Identification using Smart Meter Voltage and Power Measurements" submitted to IEEE Transactions on Smart Grid (2022), Available online at: http://arxiv.org/abs/2210.00155
Mingzhi Zhang, Xiangqi Zhu, and Ning Lu. "A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources", submitted to IEEE Transaction on Sustainable Energy. 2021. Available online at: https://arxiv.org/abs/2110.07406.
V. Muthukaruppan, A. Shirsat, et. al., “Feeder Microgrid Management on an Active Distribution System during a Severe Outage”, submitted to IEEE Trans. on Power System, 2022 (available: arXiv:2208.10712).
Alrushoud, Asmaa, and Ning Lu. "A Two-Stage Coordinative Zonal Volt/VAR Control Scheme for Distribution Systems with High Inverter-based Resources." Available online at: arXiv e-prints (2021): arXiv-2105, submitted to IEEE Transactions on Smart Grid.
Shirsat, Ashwin, Valliappan Muthukaruppan, Rongxing Hu, Victor Paduani, Bei Xu, Lidong Song, Yiyan Li et al. "A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using a Community Microgrid." IEEE Transactions on Sustainable Energy (2023).
V. Muthukaruppan, A. Shirsat, et. al., “Feeder Microgrid Management on an Active Distribution System during a Severe Outage”, submitted to IEEE Trans. on Power System, 2022 (available: arXiv:2208.10712).
Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Di Wu, PJ Rehm, and Ning LU, “An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data” submitted to 2023 ISGT. Available online at: https://arxiv.org/abs/2209.09165
Rongxing Hu, Kai Ye, Hyeonjin Kim, Hanpyo Lee, Di Wu, P.J. Rehm, Ning Lu "Coordinative Demand Charge Mitigation Strategies," submitted to 2023 IEEE PES General Meeting, Available online at: https://arxiv.org/abs/2212.08535. 23PESGM1367
Kai Ye, Hyeonjin Kim, Di Wu, PJ Rehm, and Ning Lu, "A Modified Sequence-to-point HVAC Load Disaggregation Algorithm," submitted to 2023 IEEE PES General Meeting, Available online at: https://arxiv.org/abs/2212.04886. 23PESGM1248
Han Pyo Lee, Lidong Song, Yiyan Li, Ning Lu, Di Wu, PJ Rehm, Matthew Makdad, Edmond Miller, "An Iterative Bidirectional Gradient Boosting Algorithm for CVR Baseline Estimation" 23PESGM0022, submitted to 2023 IEEE PES General Meeting, Available online at: http://arxiv.org/abs/2211.03733. 23PESGM0022
Budget Period 2 (March 2021 - March 2022)
Yiyan Li, Lidong Song, Si Zhang, Laura Kraus, Taylor Adcox, Roger Willardson, Abhishek Komandur, and Ning Lu, “TCN-based Spatial-Temporal PV Forecasting Framework with Automated Detector Network Selection,” submitted to IEEE Trans. Sustainable Energy. https://arxiv.org/abs/2111.08809.
Lidong Song, Yiyan Li, and Ning Lu. "ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles." Submitted to IEEE Trans. Smart Grid, under 2st round review. https://arxiv.org/abs/2107.09523
Mingzhi Zhang, Xiangqi Zhu, and Ning Lu, “A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources,” Submitted to IEEE Trans. Smart Grid. https://arxiv.org/abs/2110.07406.
Bei Xu, Victor Paduani, David Lubkeman, and Ning Lu, “A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources,” submitted to 2022 PES General meeting. https://arxiv.org/pdf/2111.09464.pdf
Victor Paduani, Bei Xu, David Lubkeman, Ning Lu, “Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations,” submitted to 2022 IEEE PESGM. https://arxiv.org/pdf/2111.10031.pdf
Hanpyo Lee, Han Pyo Lee, Mingzhi Zhang,Mesut Baran, Ning Lu, PJ Rehm, Edmond Miller, Matthew Makdad P.E., “A Novel Data Segmentation Method for Data-driven Phase Identification,” submitted to 2022 PES General Meeting. http://arxiv.org/abs/2111.10500
Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, and Ning Lu, “A Two-stage Training Strategy for Reinforcement Learning based Volt-Var Control,” submitted to 2022 PES General Meeting. https://arxiv.org/abs/2111.11987
Xinda Ke, Ahmad Tbaileh, Quan Nguyen, Tamara Becejac, Mallikarjuna R. Vallem, Nader Samaan, “A Solar-assisted Voltage Optimization Method for Transmission Solar Network Power System,” submitted to 2022 PES General Meeting.
Xie, F., McEntee, C., Zhang, M., Lu, N., Ke, X., Vallem, M.R. and Samaan, N., 2021, April. Networked HIL Simulation System for Modeling Large-scale Power Systems. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE.
Budget Period 1 (March 2020 - March 2021)
Li, Yiyan, Si Zhang, Rongxing Hu, and Ning Lu. "A meta-learning based distribution system load forecasting model selection framework." Applied Energy 294 (2021): 116991.
F. Xie, C. McEntee, M. Zhang, B. Mather and N. Lu, Development of an Encoding Method on an Co-simulation Platform for Mitigating the Impact of Unreliable Communication, IEEE transactions on smart grid
Q. Long, H. Yu, F. Xie, N. Lu and D. Lubkeman, Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm, IEEE Transactions on Smart Grid
M. Liang, Y. Meng, J. Wang, D. Lubkeman and N. Lu, FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets, IEEE Transactions on Smart Grid
H. Yu, M. A. Awal, H. Tu, I. Husain and S. Lukic, Comparative Transient Stability Assessment of Droop and Dispatchable Virtual Oscillator Controlled Grid-Connected Inverters, IEEE Transactions on Power Electronics
Wang, Jiyu, Xiangqi Zhu, Ming Liang, Yao Meng, Andrew Kling, David L. Lubkeman, and Ning Lu, A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method., IEEE Transactions on Smart Grid
Rongxing Hu, Yiyan Li, Si zhang, Valliappan Muthukaruppan, Ashwin Shirsat, Mesut Baran, Wenyuan Tang, David Lubkeman, Ning Lu, MW-level PV powered microgrid energy management, 2021 PES General Meeting
Victor Paduani, Lidong Song, Bei Xu, Dr. Ning Lu, PV power tracking control for providing ancillary services, 2021 PES General Meeting
Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Ning Lu, Mesut Baran, David Lubkeman, Wenyuan Tang, Community-level PV powered dynamic microgrid energy management, 2021 PES General Meeting
Quan Nguyen, Mallikarjuna R. Vallem, Bharat Vyakaranam, Ahmad Tbaileh, Xinda Ke, Nader Samaan, Controlling PV hybrid system for Black start, 2021 PES General Meeting
Ahmad Tbaileh, Mallikarjuna R. Vallem, Quan Nguyen, Xinda Ke, Nader A. Samaan, George Stefopoulos, Xia Jiang, Optimal Power System Black start using Inverter-Based Generation, 2021 PES General Meeting
H. Yu, M. A. Awal, H. Tu, Y. Du, S. Lukic and I. Husain, A Virtual Impedance Scheme for Voltage Harmonics Suppression in Virtual Oscillator Controlled Islanded Microgrids, 2020 IEEE Applied Power Electronics Conference and Exposition
Asmaa Alrushoud, Catie McEntee, and Ning Lu, A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems, 2021 PES General Meeting
Long Qian, Hui Yu, Fuhong Xie, Wenti Zeng, Srdjan Lukic, Ning Lu, and David Lubkeman, Microgrid Power Flow Control with Integrated Battery Management Functions, 2020 PES General Meeting,
A. Alrushoud and N. Lu, Impacts of PV Capacity Allocation Methods on Distribution Planning Studies, 2020 T&D Meeting
Prior Works the PARS Platform was developed upon.
Jiyu Wang, Ning Lu, Sen Huang, and Di Wu, A Data-driven Control Method for Operating the Commercial HVAC Load as a Virtual Battery, 2019 PES General Meeting
F. Xie, C. McEntee, M. Zhang and N. Lu, "An Asynchronous Real-time Co-simulation Platform for Modeling Interaction between Microgrids and Power Distribution Systems," 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019
F. Xie, H. Yu, Q. Long, W. Zeng and N. Lu, "Battery Model Parameterization Using Manufacturer Datasheet and Field Measurement for Real-Time HIL Applications," in IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2396-2406, May 2020, doi: 10.1109/TSG.2019.2953718.
Q. Long, H. Yu, F. Xie, N. Lu and D. Lubkeman, "Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2020.3026617.
Wang, Jiyu, Xiangqi Zhu, Ming Liang, Yao Meng, Andrew Kling, David L. Lubkeman, and Ning Lu. "A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method." IEEE Transactions on Smart Grid 11, no. 6 (2020): 5396-5406.
M. Liang, Y. Meng, J. Wang, D. Lubkeman and N. Lu, "FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2020.3025259.
Ming Liang, Jiyu Wang, Yao Meng, Ning LU, David Lubkeman, and Andrew Kling. "A Sequential Energy Disaggregation Method using Low-resolution Smart Meter Data, " Proc. of IEEE Innovative Smart Grid Technologies, Washington DC, 2019.
Jian Lu, Modeling and Controller Design of a Community Microgrid, PhD Thesis, 2018. https://repository.lib.ncsu.edu/bitstream/handle/1840.20/35168/etd.pdf?sequence=1
L. Sun and D. Lubkeman, "Agent-Based Modeling of Feeder-Level Electric Vehicle Diffusion for Distribution Planning," in IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 751-760, Jan. 2021, doi: 10.1109/TSG.2020.3013641.
Technical Reference Document Dynamic Load Modeling, NERC, Dec. 2016. Available online: https://www.nerc.com/comm/PC/LoadModelingTaskForceDL/Dynamic%20Load%20Modeling%20Tech%20Ref%202016-11-14%20-%20FINAL.PDF
N Lu, F Puyleart, S Yang, Y Xie, and Z Huang. 2008. “Load Component Database of Household Appliances and Small Office Equipment.” In: Proc. of the 2008 IEEE PES General Meeting, Pittsburg, Pennsylvania.
N Lu, B Yang, and Z Huang. 2008. Evaluation of Southern California Edison Air-Conditioner Stalling Solutions. CEC/LMTF Load Research Program. PNNL-17686, Pacific Northwest National Laboratory, Richland, Washington.
N Lu, YL Xie, and Z Huang. 2008. Air Conditioner Compressor Performance Model. CEC/LMTF Load Research Program. PNNL-17796, Pacific Northwest National Laboratory, Richland, Washington.
N Lu, A Qiao, Composite load model evaluation. PNNL-16916, Pacific Northwest National Laboratory, Richland, WA. 2007
DP Chassin and N Lu. 2007. “Load Composition Data.” PNNL-SA-57496, Pacific Northwest National Laboratory, Richland, Washington.
Publication By Areas
Machine Learning and Data Analytics
Li, Yiyan, Lidong Song, Yi Hu, Hanpyo Lee, Di Wu, P. J. Rehm, and Ning Lu. "Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation." arXiv preprint arXiv:2211.16332 (2022).
Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, and Ning Lu, "MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations," submitted to IEEE Transactions on Smart Grid (2022). Available online at: https://arxiv.org/abs/2210.01167
Kai Ye, Hyeonjin Kim, Di Wu, PJ Rehm, and Ning Lu, "A Modified Sequence-to-point HVAC Load Disaggregation Algorithm," submitted to 2023 IEEE PES General Meeting, Available online at: https://arxiv.org/abs/2212.04886. 23PESGM1248
Han Pyo Lee, Lidong Song, Yiyan Li, Ning Lu, Di Wu, PJ Rehm, Matthew Makdad, Edmond Miller, "An Iterative Bidirectional Gradient Boosting Algorithm for CVR Baseline Estimation" 23PESGM0022, submitted to 2023 IEEE PES General Meeting, Available online at: http://arxiv.org/abs/2211.03733. 23PESGM0022
Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Di Wu, PJ Rehm, and Ning LU, “An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data” submitted to 2023 ISGT. Available online at: https://arxiv.org/abs/2209.09165
Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu, "A Novel Data Segmentation Based Approach for Meter Topology Identification using Smart Meter Voltage and Power Measurements" submitted to IEEE Transactions on Smart Grid (2022), Available online at: http://arxiv.org/abs/2210.00155
Mingzhi Zhang, Xiangqi Zhu, and Ning Lu. "A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources", submitted to IEEE Transaction on Sustainable Energy. 2021. Available online at: https://arxiv.org/abs/2110.07406.
Ming Liang, Y. Meng, J. Wang, D. Lubkeman and N. Lu, "FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2020.3025259.
Lidong Song, Yiyan Li, and Ning Lu. "ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles," http://arxiv.org/abs/2107.09523, Youtube video.
Yiyan Li, Lidong Song, Si Zhang, Laura Kraus, Taylor Adcox, Roger Willardson, Abhishek Komandur, and Ning Lu, “TCN-based Spatial-Temporal PV Forecasting Framework with Automated Detector Network Selection,” submitted to IEEE Trans. Sustainable Energy. https://arxiv.org/abs/2111.08809.
Li, Yiyan, Si Zhang, Rongxing Hu, and Ning Lu. "A meta-learning based distribution system load forecasting model selection framework." Applied Energy 294 (2021): 116991.
Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, and Ning Lu, “A Two-stage Training Strategy for Reinforcement Learning based Volt-Var Control,” submitted to 2022 PES General Meeting. https://arxiv.org/abs/2111.11987
Hanpyo Lee, Han Pyo Lee, Mingzhi Zhang,Mesut Baran, Ning Lu, PJ Rehm, Edmond Miller, Matthew Makdad P.E., “A Novel Data Segmentation Method for Data-driven Phase Identification,” submitted to 2022 PES General Meeting. http://arxiv.org/abs/2111.10500
Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Di Wu, PJ Rehm, and Ning LU, “An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data” submitted to 2023 ISGT. Available online at: https://arxiv.org/abs/2209.09165
Wang, Jiyu, Xiangqi Zhu, Ming Liang, Yao Meng, Andrew Kling, David L. Lubkeman, and Ning Lu. "A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method." IEEE Transactions on Smart Grid 11, no. 6 (2020): 5396-5406.
Ming Liang, Jiyu Wang, Yao Meng, Ning LU, David Lubkeman, and Andrew Kling. "A Sequential Energy Disaggregation Method using Low-resolution Smart Meter Data, " Proc. of IEEE Innovative Smart Grid Technologies, Washington DC, 2019.
Yao Meng, Ming Liang, and Ning LU. "Design of Energy Storage Friendly Regulation Signals using Empirical Mode Decomposition," Proc. of the 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, Aug. 2019.
Yao Meng, Z. Yu, N. Lu and D. Shi, "Time Series Classification for Locating Forced Oscillation Sources," in IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1712-1721, March 2021, doi: 10.1109/TSG.2020.3028188.
Henri, G. and Lu, N., 2019. A supervised machine learning approach to control energy storage devices. IEEE Transactions on Smart Grid, 10(6), pp.5910-5919.
Henri, Gonzague, and Ning Lu. "A Multi-Agent Shared Machine Learning Approach for Real-time Battery Operation Mode Prediction and Control." In 2018 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5. IEEE, 2018.
Mingzhi Zhang, Xiangqi Zhu, and Ning Lu, “A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources,” Submitted to IEEE Trans. Smart Grid. https://arxiv.org/abs/2110.07406.
Development of the PARS Hardware-in-the-Loop Models and Platforms
Victor Paduani, Qi Xiao, Bei Xu, David Lubkeman, and Ning Lu. "Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services", submitted to IEEE Transactions on power systems. https://arxiv.org/abs/2212.03803
Q. Long, H. Yu, F. Xie, N. Lu and D. Lubkeman, "Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2020.3026617.
F. Xie, H. Yu, Q. Long, W. Zeng and N. Lu, "Battery Model Parameterization Using Manufacturer Datasheet and Field Measurement for Real-Time HIL Applications," in IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2396-2406, May 2020, doi: 10.1109/TSG.2019.2953718.
F. Xie, C. McEntee, M. Zhang, B. Mather and N. Lu, "Development of an Encoding Method on a Co-Simulation Platform for Mitigating the Impact of Unreliable Communication," in IEEE Transactions on Smart Grid, vol. 12, no. 3, pp. 2496-2507, May 2021, doi: 10.1109/TSG.2020.3039949. Videos related with the paper: https://www.youtube.com/watch?v=SdibDKEpw60
F. Xie et al., "Networked HIL Simulation System for Modeling Large-scale Power Systems," 2020 52nd North American Power Symposium (NAPS), 2021, pp. 1-6, doi: 10.1109/NAPS50074.2021.9449646.
F. Xie, C. McEntee, M. Zhang and N. Lu, "An Asynchronous Real-time Co-simulation Platform for Modeling Interaction between Microgrids and Power Distribution Systems," Proc. of 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019, pp. 1-5, doi: 10.1109/PESGM40551.2019.8973802.
Xie, F., McEntee, C., Zhang, M., Lu, N., Ke, X., Vallem, M.R. and Samaan, N., 2021, April. Networked HIL Simulation System for Modeling Large-scale Power Systems. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE.
Victor Paduani, Bei Xu, David Lubkeman, Ning Lu, “Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations,” submitted to 2022 IEEE PESGM. https://arxiv.org/pdf/2111.10031.pdf
Victor Paduani, Lidong Song, Bei Xu, Dr. Ning Lu, "Maximum Power Reference Tracking Algorithm for Power Curtailment of Photovoltaic Systems", Proc. of IEEE PES 2021 General Meeting. 2021. arXiv preprint arXiv:2011.09555.
Bei Xu, Victor Paduani, David Lubkeman, and Ning Lu, “A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources,” submitted to 2022 PES General meeting. https://arxiv.org/pdf/2111.09464.pdf
Long Qian, Hui Yu, Fuhong Xie, Wenti Zeng, Srdjan Lukic, Ning Lu, and David Lubkeman., "Microgrid Power Flow Control with Integrated Battery Management Functions," Proc. of 2020 IEEE Power & Energy Society General Meeting (PESGM), Montreal, QC, 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9281437.
Sun, Tiankui, Jian Lu, Zhimin Li, David Lubkeman, and Ning Lu. "Modeling Combined Heat and Power Systems for Microgrid Applications." IEEE Transactions on Smart Grid, Jan. 2017.
Nguyen, Quan, Jim Ogle, Xiaoyuan Fan, Xinda Ke, Mallikarjuna R. Vallem, Nader Samaan, and Ning Lu. "EMS and DMS Integration of the Coordinative Real-time Sub-Transmission Volt-Var Control Tool under High DER Penetration." arXiv preprint arXiv:2103.10511 (2021).
Ke, Xinda, Nader Samaan, Jesse Holzer, Renke Huang, Bharat Vyakaranam, Mallikarjuna Vallem, Marcelo Elizondo et al. "Coordinative real-time sub-transmission volt–var control for reactive power regulation between transmission and distribution systems." IET Generation, Transmission & Distribution (2018).
Nader Samaan, Marcelo A. Elizondo, Bharat Vyakaranam, Mallikarjuna R. Vallem, Xinda Ke, Renke Huang, Jesse T. Holzer, Siddharth Sridhar, Quan Nguyen, Yuri V. Makarov, Xiangqi Zhu, Jiyu Wang, and Ning Lu, "Combined Transmission and Distribution Test System to Study High Penetration of Distributed Solar Generation," Proc. of IEEE/PES Transmission and Distribution Conference and Exposition, 2018.
X. Ke, A. Tbaileh, Q. Nguyen, T. Becejac, M. R. Vallem and N. Samaan, "A Solar-assisted Voltage Optimization Method for Transmission Solar Network Power System," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5, doi: 10.1109/PESGM48719.2022.9917048.
A. Tbaileh et al., "Optimal Power System Black start using Inverter-Based Generation," 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109/PESGM46819.2021.9638043.
Q. Nguyen, M. R. Vallem, B. Vyakaranam, A. Tbaileh, X. Ke and N. Samaan, "Control and Simulation of a Grid-Forming Inverter for Hybrid PV-Battery Plants in Power System Black Start," 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 1-5, doi: 10.1109/PESGM46819.2021.9637882.
Q. Nguyen, A. Tbaileh , Laura A. Ward, X. Ke, M. R. Vallem, B. Vyakaranam, and N. Samaan, "Real-Time Demonstration of Black-Start using a Grid-Forming Hybrid Solar-Energy Storage Power Plant," IEEE Transaction on Industrial Applications (in preparation).
Development of the Energy Management and Control Algorithms
Rongxing Hu, Kai Ye, Hyeonjin Kim, Hanpyo Lee, Di Wu, P.J. Rehm, Ning Lu "Coordinative Demand Charge Mitigation Strategies," submitted to 2023 IEEE PES General Meeting, Available online at: https://arxiv.org/abs/2212.08535. 23PESGM1367
Valliappan Muthukaruppan, Ning Lu, Mesut Baran, Ed Miller, Matt Makkad, PJ Rehm, “Overloading Analysis of Distribution Transformers using Smart Meter Data” Proc. of 2022 ISGT.
Lu, Ning. "Load Control: A new era of intelligent automation." IEEE Electrification Magazine 9, no. 3 (2021): 18-28.
Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, and Ning Lu, “A Two-stage Training Strategy for Reinforcement Learning based Volt-Var Control,” 22PESGM3454, Proc. of 2022 PES General Meeting. http://arxiv.org/abs/2111.11987
Rongxing Hu, Yiyan Li, Si zhang, Valliappan Muthukaruppan, Ashwin Shirsat, Mesut Baran, Wenyuan Tang, David Lubkeman, Ning Lu, "A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System", Proc. of IEEE PES 2021 General Meeting. 2021. Available online at:https://arxiv.org/abs/2011.08735
Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Ning Lu, Mesut Baran, David Lubkeman, Wenyuan Tang, "Hierarchical Multi-timescale Framework for Operation of Dynamic Community Microgrid", Proc. of IEEE PES 2021 General Meeting. 2021. https://arxiv.org/abs/2011.10087
V. Muthukaruppan, A. Shirsat, et. al., “Feeder Microgrid Management on an Active Distribution System during a Severe Outage”, submitted to IEEE Trans. on Power System, 2022 (available: arXiv:2208.10712).
J. Wang, S. Huang, D. Wu and N. Lu, "Operating a Commercial Building HVAC Load as a Virtual Battery Through Airflow Control," in IEEE Transactions on Sustainable Energy, vol. 12, no. 1, pp. 158-168, Jan. 2021, doi: 10.1109/TSTE.2020.2988513.
Nguyen, Quan, Jim Ogle, Xiaoyuan Fan, Xinda Ke, Mallikarjuna R. Vallem, Nader Samaan, and Ning Lu. "EMS and DMS Integration of the Coordinative Real-time Sub-Transmission Volt-Var Control Tool under High DER Penetration." arXiv preprint arXiv:2103.10511 (2021).
Alrushoud, Asmaa, and Ning Lu. "A Two-Stage Coordinative Zonal Volt/VAR Control Scheme for Distribution Systems with High Inverter-based Resources." arXiv e-prints (2021): arXiv-2105, submitted to IEEE Transactions on Smart Grid.
Catie McEntee, D. Mulcahy, J. Wang, X. Zhu and N. Lu, "A VSM-Based DER Dispatch MINLP for Volt-VAR Control in Unbalanced Power Distribution Systems," Proc. of 2019 IEEE Power & Energy Society General Meeting (PESGM), 2019, pp. 1-5, doi: 10.1109/PESGM40551.2019.8973721
Asmaa Alrushoud, Catie McEntee, and Ning Lu, "A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems", Proc. of IEEE PES 2021 General Meeting. 2021. Available online at: https://arxiv.org/abs/2101.00106.
Li, Weifeng, Pengwei Du, and Ning Lu. "Primary Frequency Response Ancillary Service in Low Inertia Power System,"IET Generation, Transmission & Distribution (2020). Henri, G. and Lu, N., 2019. A supervised machine learning approach to control energy storage devices. IEEE Transactions on Smart Grid, 10(6), pp.5910-5919.
Henri, Gonzague, Ning Lu, and Carlos Carrejo. "Mode‐based energy storage control approach for residential photovoltaic systems." IET Smart Grid 2, no. 1 (2019): 69-76.
Ming Liang, Jiyu Wang, Yao Meng, Ning LU, David Lubkeman, and Andrew Kling. "Impacts of Zero Net Energy Buildings on Customer Energy Savings and Distribution System Planning," Proc. of 2019 ISGT Asia, Chongqing, China, May 2019.
Long Qian, David Lubkeman, and Ning Lu,"Volt-Var Optimization of Distribution Systems for Coordinating Utility Voltage Control with Smart Inverters," Proc. of IEEE Innovative Smart Grid Technologies, Washington DC, 2019.
Fuhong Xie, N. Lu, and Jiahong Yan, “Design of a Mobile Energy Management Unit for Off-grid Mini-microgrids,” Proc. of 2018 IEEE Power & Energy Society General Meeting, Portland, OR, 2018.
Data Sets
Distribution-level Grid Support Functions
Use Case 1 (Developed By Rongxing Hu)
Use Case 2 (Developed By Valliappan )
Use Case 3 (Developed by Ashwin Shirsat)
Transmission-level Grid Support Functions
Real-time Simulation Test Systems