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Probabilistic Risk Assessment of Power Quality Variations and Events Under Temporal and Spatial Characteristic of Increased PV Integration in Low-Voltage Distribution Networks
Open accessAbstract
The aim of this paper is to perform a probabilistic risk assessment of power quality variations and events that may arise due to high photovoltaic distributed generation (PVDG) integration in a low-voltage distribution network (LVDN). Due to the spatial and temporal behavior of PV generation and load demand, such an assessment is vital before integrating PVDG at the existing load buses. Two power quality (PQ) variations such as voltage magnitude variation and phase unbalance together with one PQ abnormal event are considered as the PQ impact metrics. These PQ impact metrics are assessed in terms of two PQ indices, namely site and system indices. A Monte Carlo based simulation is applied for the probabilistic risk assessment. From the results, site overvoltage shows a likely impact to observe as the PVDG integration increases. The probability of 20% of customers violating 1.1 p.u. at 100% penetration level is 0.5. Integration of PVDG reduces the voltage unbalance as compared with no or low PVDG penetration. There is a higher probability of observing deep sag at the site as PVDG integration increases. This probabilistic approach can be used as a tool to assess the likely impacts due to PVDG integration against the worst-case scenarios.
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“Most stochastic HC studies typically include variables from both types of uncertainties without necessarily making a distinction between the two types of uncertainties [95][96][97][98].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [97]
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Research works printed but not linked: 21
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Umoh, V., Davidson, I., Adebiyi, A., & Ekpe, U. (2023) · Energies · doi:10.3390/en16083609 · Cited by 71
Metadata
- Authors
- Pukhrem, S., Basu, M., & Conlon, M. F.
- Affiliations
- Dublin Institute of Technology (IE)
- Venue
- IEEE Transactions on Power Systems
- Published
- 2018-05
- Volume
- 33
- Issue
- 3
- Pages
- 3246-3254
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2792265233
- Cited by
- 63
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 1 · 2023: 10 · 2022: 15 · 2021: 6 · 2020: 9 · 2019: 9 · 2018: 6
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- green
- arrow.tudublin.ie
- Locations
- IEEE Transactions on Power Systems (publishedVersion)
- Arrow - TU Dublin (Technological University Dublin) (submittedVersion, cc-by-nc-sa)
- Arrow - TU Dublin (Technological University Dublin) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Power System Reliability and Maintenance
- Keywords
- probabilistic risk assessment, power quality, photovoltaic integration, distributed generation, low-voltage distribution networks, voltage unbalance, voltage sag, photovoltaic penetration, Monte Carlo simulation
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