Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks
Low-voltage (LV) feeder voltage magnitude and unbalance are often the constraining factors on a feeder's capacity to absorb rooftop photovoltaic (PV) generation. This paper presents a new probabilistic method for voltage management in distribution networks through the placement of distribution...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronics Engineers
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/56878 |
| _version_ | 1848759959702994944 |
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| author | Pezeshki, H. Arefi, A. Ledwich, G. Wolfs, Peter |
| author_facet | Pezeshki, H. Arefi, A. Ledwich, G. Wolfs, Peter |
| author_sort | Pezeshki, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Low-voltage (LV) feeder voltage magnitude and unbalance are often the constraining factors on a feeder's capacity to absorb rooftop photovoltaic (PV) generation. This paper presents a new probabilistic method for voltage management in distribution networks through the placement of distribution static compensators (dSTATCOMs) and on-load tap changers (OLTCs) considering the reactive capability of PV inverters in multiple LV and medium-voltage distribution networks. The method uses a modified particle swarm optimization. In this paper, several scenarios for the placements of multiple dSTATCOMs with and without embedded energy storage systems using both reactive and real power compensation are investigated in combination with an OLTC equipped with independent per-phase tap-changing control. The voltage constraints in the proposed method are statistically defined using three duration curves. These are the voltage unbalance, maximum voltage, and minimum voltage duration curves. The method is comprehensively tested for varying load and PV generation based on data from a real Australian distribution network with considerable unbalance and distributed PV generation. The results show that PV hosting capacity increases where the proposed approach is applied. |
| first_indexed | 2025-11-14T10:08:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-56878 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:08:10Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-568782018-04-19T05:58:34Z Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks Pezeshki, H. Arefi, A. Ledwich, G. Wolfs, Peter Low-voltage (LV) feeder voltage magnitude and unbalance are often the constraining factors on a feeder's capacity to absorb rooftop photovoltaic (PV) generation. This paper presents a new probabilistic method for voltage management in distribution networks through the placement of distribution static compensators (dSTATCOMs) and on-load tap changers (OLTCs) considering the reactive capability of PV inverters in multiple LV and medium-voltage distribution networks. The method uses a modified particle swarm optimization. In this paper, several scenarios for the placements of multiple dSTATCOMs with and without embedded energy storage systems using both reactive and real power compensation are investigated in combination with an OLTC equipped with independent per-phase tap-changing control. The voltage constraints in the proposed method are statistically defined using three duration curves. These are the voltage unbalance, maximum voltage, and minimum voltage duration curves. The method is comprehensively tested for varying load and PV generation based on data from a real Australian distribution network with considerable unbalance and distributed PV generation. The results show that PV hosting capacity increases where the proposed approach is applied. 2017 Journal Article http://hdl.handle.net/20.500.11937/56878 10.1109/TPWRD.2017.2718511 Institute of Electrical and Electronics Engineers restricted |
| spellingShingle | Pezeshki, H. Arefi, A. Ledwich, G. Wolfs, Peter Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title | Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title_full | Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title_fullStr | Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title_full_unstemmed | Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title_short | Probabilistic Voltage Management Using OLTC and dSTATCOM in Distribution Networks |
| title_sort | probabilistic voltage management using oltc and dstatcom in distribution networks |
| url | http://hdl.handle.net/20.500.11937/56878 |