arXiv subjects

Sushrut Thakar

Publications and source records attributed to Sushrut Thakar.

3 recordsLinked to original sources

arXiv2025

Development of Reduced Feeder and Load Models Using Practical Topological and Loading Data

Distribution feeder and load model reduction methods are essential for maintaining a good tradeoff between accurate representation of grid behavior and reduced computational complexity in power system studies. An effective algorithm to obtain a reduced order representation of the practical feeders using utility topological and loading data has been presented in this paper. Simulations conducted in this work show that the reduced feeder and load model of a utility feeder, obtained using the proposed method, can accurately capture contactor and motor stalling behaviors for critical events such as fault induced delayed voltage recovery.

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arXiv2022

Intricacies of formulating measurement-based small signal models of inverter based resources

The increasing number of inverter based resources (IBRs) connected to modern power systems necessitate accurate modeling of IBRs in stability studies. Measurement-based modeling approaches can create an impedance/admittance model of IBRs to be subsequently used in small signal stability studies. Such measurement-based approaches have previously been successfully used for dc-dc converters but present unique challenges for three-phase IBRs. This paper discusses the choices and challenges that can lead to an incorrect model from measurement-based approaches as well as mitigation mechanisms of the adverse impacts using an illustrative example. A discussion of small signal stability assessment involving such admittance models is also provided. It is seen through the illustrative example shown that the injection signal and the model fitting procedure, the phase locked loop used for the measurement device, and the grid impedance may impact the accuracy of the measurement-based admittance model of the IBRs.

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arXiv2021

Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs). This paper presents a highly automated, novel method to enhance the accuracy of utility distribution feeder models to capture their performance by matching simulation results with corresponding field measurements. The method is demonstrated using an actual feeder from an electrical utility with high penetration of DERs. The method proposed uses advanced metering infrastructure (AMI) voltage and derived active power measurements at the customer level, and data acquisition systems (DAS) measurements at the feeder-head, in conjunction with an AC optimal power flow (ACOPF) to estimate customer active and reactive power consumption over a time horizon, while accounting for unmetered loads. Additionally, the method proposed estimates both voltage magnitude and angle for each phase at the unbalanced distribution substation. Furthermore, the accuracy of the method developed is verified by comparing the time-series power flow results obtained from the enhancement algorithm with OpenDSS results. The proposed approach seamlessly manages the data available from the optimization procedure through the final model verification automatically.

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