activity
20182026
most citedA Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints

91 citations · 97 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY2026

Dynamic Resilience Assessment of Power Systems With Data Center Load Events Using Physics-Informed Neural Networks

Chen Chao, Zixiao Ma, Ziang Zhang

Large data center loads introduce new resilience challenges to power systems because their disconnection and staged reconnection can induce fast voltage and frequency dynamics that…

eess.SY2025

Cyber Resilience Assessment of Unbalanced Distribution System Restoration under Sparse Load Forecasting Attacks

Chen Chao, Zixiao Ma, Ziang Zhang

System restoration is critical for power-system resilience, but its growing reliance on artificial intelligence (AI)-based load forecasting creates a cyber-physical vulnerability i…

eess.SY2023

Optimal Power Flow for Integrated Primary-Secondary Distribution Networks with Center-Tapped Service Transformers

Rui Cheng, Naihao Shi, Zhaoyu Wang +1

Secondary distribution networks (SDNets) play an increasingly important role in smart grids due to a high proliferation of distributed energy resources (DERs) in SDNets. However, m…

eess.SY2023

Analytical Large-Signal Modeling of Inverter-based Microgrids with Koopman Operator Theory for Autonomous Control

Zixiao Ma, Zhaoyu Wang

The microgrid (MG) plays a crucial role in the energy transition, but its nonlinearity presents a significant challenge for large-signal power systems studies in the electromagneti…

eess.SY2021★ 91 cited

A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints

Qianzhi Zhang, Zixiao Ma, Yongli Zhu +1

This paper proposes a service restoration model for unbalanced distribution systems and inverter-dominated microgrids (MGs), in which frequency dynamics constraints are developed t…

eess.SY2019

High-Fidelity Large-Signal Order Reduction Approach for Composite Load Model

Zixiao Ma, Zhaoyu Wang, Dongbo Zhao +1

With the increasing penetration of electronic loads and distributed energy resources (DERs), conventional load models cannot capture their dynamics. Therefore, a new comprehensive…

eess.SY2019★ 1 cited

Singular Perturbation-based Large-Signal Order Reduction of Microgrids for Stability and Accuracy Synthesis with Control

Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan +1

With the increasing penetration of distributed energy resources (DERs), it is of vital importance to study the dynamic stability of microgrids (MGs) with external control inputs in…

eess.SP2019

Data-Driven Based Method for Power System Time-Varying Composite Load Modeling

Jian Xie, Zixiao Ma, Zhaoyu Wang +1

Fast and accurate load parameters identification has great impact on the power systems operation and stability analysis. This paper proposes a novel transfer reinforcement learning…

math.OC2019★ 4 cited

Mathematical representation of the WECC composite load model

Zixiao Ma, Zhaoyu Wang, Yishen Wang +2

The Western Electricity Coordinating Council (WECC) composite load model is a newly developed load model that has drawn great interest from the industry. To analyze its dynamic cha…

math.OC2018★ 1 cited

Secondary Voltage Control of Microgrids Using Nonlinear Multiple Models Adaptive Control

Zixiao Ma, Zhaoyu Wang, Yifei Guo +2

This paper proposes a novel model-free secondary voltage control (SVC) for microgrids using nonlinear multiple models adaptive control. The proposed method is comprised of two comp…