Influence of Induction Motor in Stability of Power System with High Penetration of Large-Scale PV

Alshareef, Abdulrhman; Mithulananthan, Nadarajah; Shah, Rakibuzzaman

doi:10.1109/spies48661.2020.9242952

Cited by 4 publications

(2 citation statements)

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“…Secondly, the dynamic load represents the rotational load, e.g., induction motors (IMs). As the load models and compositions play a vital role in the voltage stability analysis [29,30], different penetration of IMs and their impacts are tested here. The IMs are modelled using the CIM5BL model.…”

Section: B Load Modellingmentioning

confidence: 99%

“…However, it is not practical to plot and inspect all the cases. Moreover, the oscillations in different power system quantities could occur under disturbances due to non-linear interaction and system dynamic characteristics [30], [37]. The proposed method for determining the siting of the DVS involves the collection of data from PMU.…”

Section: A Derivation Of Alignment Factormentioning

confidence: 99%

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A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid

Alshareef,

Shah,

Mithulananthan

et al. 2024

IEEE Access

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Short-term voltage stability (STVS) of power grids could be jeopardized due to the nonlinear dynamic characteristics of loads such as induction motors (IMs) and the retirement of synchronous generators. Moreover, the appearance of inverter-based generators (IBGs) in the system would make the grids more susceptible to voltage instability. Hence, there is an indispensable need to identify adequate mitigation measures to deal with these enduring challenges. This paper proposes a driven-data trajectory approach to locate the dynamic VAr support (DVS) to maintain STVS in power grids with high penetration of IBGs. The proposed data-driven trajectory approach ranks the best locations for DVS by comparing grid responses of different possible DVS sites with respect to the desired reference response. The developed approach covers the full signature of grid dynamics in generation and load sides. For illustration, this approach is applied to the Reliability and Voltage Stability (RVS) test system designed for STVS analysis. Several scenarios are tested, including various IM penetrations and IBG integration, control and load compositions, to demonstrate the viability and robustness of the proposed approach. Moreover, the STVS performance of the system with the proposed algorithm is verified through the motor stalling scan. The comprehensive assessment shows that the system exhibits the best STVS performance with DVS placement using the proposed method.INDEX TERMS Alignment factor, data-driven trajectory, dynamic signature, Euclidean inner product, load dynamics, motor stalling, PV generator, short-term voltage stability.

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Section: B Load Modellingmentioning

confidence: 99%

Section: A Derivation Of Alignment Factormentioning

confidence: 99%