Rahman, Mir Toufikur and Hasan, Kazi N. and Sokolowski, Peter and Mokhlis, Hazlie (2023) Probabilistic Assessment of Conservation Voltage Reduction Using Static Load Model Parameter in the Presence of Uncertainties. IEEE Transactions on Industry Applications, 59 (3). pp. 2675-2685. ISSN 0093-9994, DOI https://doi.org/10.1109/TIA.2023.3239902.
Full text not available from this repository.Abstract
Higher penetration of solar PV and wind generation in distribution networks may change the conservation voltage reduction (CVR) capabilities. The uncertainties associated with the renewable generations and system loads are neglected in the deterministic CVR assessment. In this paper, a probabilistic framework for CVR assessment has been presented to assess the impact of uncertainties associated with renewable generations and system loads. A theoretical framework has been presented by establishing a mathematical relationship between the probability distribution of renewable generations (solar PV and wind) and the probability distribution of static exponential load model parameters. The simulation results have confirmed that the penetration of non-Gaussian solar PV and wind generation leads to non-Gaussian static exponential load model parameter distribution, which is validated by the normality tests (quantile-quantile plot, skewness, and kurtosis). Subsequently, the magnitude and probability distribution of the CVR capabilities of the network changes with the penetration of renewable generations, where the higher renewable penetration scenarios lead to higher CVR values and non-Gaussian (asymmetric) distribution.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | 31st Australasian Universities Power Engineering Conference (AUPEC), Curtin Univ, Perth, AUSTRALIA, SEP 26-30, 2021 |
| Uncontrolled Keywords: | Conservation voltage reduction (CVR); load modelling; probabilistic modelling; probability distribution; renewable generations; uncertainty |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 30 Sep 2025 07:24 |
| Last Modified: | 30 Sep 2025 07:24 |
| URI: | http://eprints.um.edu.my/id/eprint/50327 |
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