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Miao Zhang - IEEE Xplore Author Profile

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With confidentiality constraints of detailed control information of inverter-based resources (IBR), black-box models, e.g., admittance/impedance models, obtained from measurements are often used for stability analysis. This paper makes a further inquiry: If stability analysis is possible with admittance models, is it possible to produce time-domain simulation results with admittance models only? O...Show More
Low-frequency oscillations have been observed in a real-world solar photovoltaic (PV) farm. The goal of this research is to build a simplified analytical model in the synchronous frame for large-signal simulation and small-signal analysis. The latter, e.g., eigenvalue analysis and participation factor analysis, can reveal influencing factors of the oscillations. Two simplified analytical models ar...Show More
In 2017 and 2018, bulk power system (BPS) connected solar photovoltaic (PV) inverters tripped after grid disturbances in South California, causing large-scale power loss. One cause of PV tripping is subcycle overvoltage experienced by PV inverters when the grid suffers voltage dip and PVs enter into momentary cessation. This paper examines the underlying mechanism of the subcycle overvoltage dynam...Show More
Type-4 wind is claimed to be immune from subsynchronous resonances (SSRs) that have been experienced by Type-3 wind with radial connection to series compensated lines. In this paper, we examine this claim through simplified analytical model building, analysis based on linearized models, and validation against electromagnetic transient (EMT) testbeds with full details. Two analytical models of Type...Show More
This paper presents data analytic results based on four-year data from real-world 1.6 kW photovoltaic (PV) panels and 20 kWh Lithium-ion batteries installed at St. Petersburg Florida. The 1-minute interval raw data are collected and stored in spreadsheets. We present the raw data related to power outputs from PVs and batteries as well as estimated state-of-charge (SOC) of batteries. Data analysis ...Show More
This paper presents three power grid partitioning methods, which are classified into two categories: static and dynamic approaches. In the static approaches, spectral clustering method based on eigenvectors of the graph Laplacian and mixed-integer programming (MIP) strategy have been used to partition a grid. In dynamic approach, slow coherency based on the eigenvector of inter-area oscillation mo...Show More