Research Projects
Safe Imitation Learning Control for Inverter-based Microgrids in EMT Timescale.
Related publications:
- Zixiao Ma, Zhaoyu Wang and Rui Cheng, “Analytical Large-Signal Modeling of Inverter-based Microgrids With Koopman Operator Theory for Autonomous Control,” IEEE Transactions on Smart Grid, early access, 2023. PDF
- Zixiao Ma, Qianzhi Zhang and Zhaoyu Wang, “Safe and Stable Secondary Voltage Control of Microgrids Based on Explicit Neural Networks,” IEEE Transactions on Smart Grid, vol. 14, no. 5, pp. 3375-3387, 2023. PDF
Data-Driven Secondary Control of Microgrids using Multiple Models Adaptive Control and Neural Networks.
Related publications:
- Zixiao Ma, Zhaoyu Wang, Yifei Guo, Yuxuan Yuan and Hao Chen, “Nonlinear Multiple Models Adaptive Secondary Voltage Control of Microgrids,” IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 227-238, 2021. PDF
- Jun Fu, Zixiao Ma, Yue Fu and Tianyou Chai, “Hybrid Adaptive Control of Nonlinear Systems with Non-Lipschitz Nonlinearities,” Systems & Control Letters, vol. 156, no. 105012, 2021. PDF
WECC Composite Load Modeling: Order Reduction, Parameter reduction and Parameter Identification.
Related publications:
- Zixiao Ma, Bai Cui, Zhaoyu Wang and Dongbo Zhao, “Parameter Reduction of Composite Load Model using Active Subspace Method,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5441-5452, 2021. PDF
- Jian Xie, Zixiao Ma, Kaveh Dehghanpour, Zhaoyu Wang, Yishen Wang, Ruisheng Diao and Di Shi, “Imitation and Transfer Q Learning-based parameter identification for composite load modeling,” IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1674-1684, 2021. PDF
- Fankun Bu, Zixiao Ma, Yuxuan Yuan and Zhaoyu Wang, “WECC Composite Load Model Parameter Identification using Evolutionary Deep Reinforcement Learning,” IEEE Transactions on Smart Grid, vol. 11, no.6, pp. 5407-5417, 2020. PDF
- Zixiao Ma, Zhaoyu Wang, Dongbo Zhao and Bai Cui, “High-Fidelity Large-signal Order Reduction Approach for Composite Load Model,” IET Generation, Transmission & Distribution, vol. 14, no. 21, pp. 4888-4897, 2020. PDF
- Zixiao Ma, Zhaoyu Wang, Yishen Wang, Ruisheng Diao and Di Shi, “Mathematical Representation of WECC Composite Load Model,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 1015-1023, 2020. PDF
Robust Time-Varying Conservation Voltage Reduction Evaluation
Related publications:
- Zixiao Ma, Yingmeng Xiang and Zhaoyu Wang, “Robust Conservation Voltage Reduction Evaluation using Soft Constrained Gradient Analysis,” IEEE Transactions on Power Systems, vol. 37, no. 6, pp. 4485-4496, 2022. PDF
Projects Involved
Solar-Assisted, Stakeholder-Engaged, Autonomous Restoration with Data Orchestration (Solar-HERO) (04/01/2023-03/31/2026).
This project is funded by the Department of Energy and National Renewable Energy Laboratory. The ISU PI is Prof. Zhaoyu Wang.
Scalable Multi-Timescale Analysis Platform Based on System Transient and Dynamic Models (11/04/2021-09/30/2024).
This project is funded by the Department of Energy and Argonne National Laboratory. The ISU PI is Prof. Zhaoyu Wang.
Data-Driven and Machine Learning Based Load Modeling (05/01/2018-04/30/2021).
This project is funded by Power Systems Engineering Research Center. The PI is Prof. Zhaoyu Wang.
Robust Real-Time Modeling of Distribution Systems with Data-Driven Grid-Wise Observability (10/01/2017-09/30/2022).
This project is funded by the Department of Energy. The PI is Prof. Zhaoyu Wang.
Measurement-Based Hierarchical Framework for Time-varying Stochastic Load Modeling (07/01/2016-12/31/2019).
This project is funded by the Department of Energy and Argonne National Lab. The ISU PI is Prof. Zhaoyu Wang.