Date of Publication :17th January 2024

Abstract: Stability of the grid network is given priority by power system operators and other key energy stakeholders, with growing interest in renewables, then the fact is that stability has become the cornerstone for grid power transaction. In this study, grid network topology is designed using pandas power library, and distributed energy resources (DERS) such as PV, Wind Turbine, and energy storage systems (ESSs) are added to various nodes. Subsequently, studies are carried out to assess voltage deviations, which entails performing optimal power flow simulations, whereby IEEE 33-bus network is used as a testbed. According to industrial standards, especially IEEE 1547 standard, deviation of voltage is specified at an interval, i.e., minimum voltage and maximum voltage which are noted to be 0.90 and 1.00 pu, respectively, this aligns with requirements of having DERs in the grid network. To maintain this interval, stability of the grid becomes a deeply researched topic of interest for many researchers and engineers. Particularly, in this work a 33-bus benchmark is developed using pandas power, heatmaps and analyzable cases are formulated in modeling the grid network. The developed cases exemplary capture power system simulation studies using pandas power. Run OPF function is actualized, and results are gotten for grid stability analysis. The impact renewables have on the grid has been attested to, with ESSs coming in handy to support voltage profile.

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