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- Publisher Website: 10.1049/iet-gtd.2013.0659
- Scopus: eid_2-s2.0-84899844837
- WOS: WOS:000335837000011
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Article: Solving long time-horizon dynamic optimal power flow of large-scale power grids with direct solution method
Title | Solving long time-horizon dynamic optimal power flow of large-scale power grids with direct solution method |
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Authors | |
Issue Date | 2014 |
Publisher | IET. |
Citation | Generation, Transmission & Distribution, IET, 2014, v. 8 n. 5, p. 895-906 How to Cite? |
Abstract | Dynamic optimal power flow (DOPF) is an extension of optimal power flow for the optimal generation dispatch in a given time-horizon. The dynamic constraints bring tremendous numerical difficulties in solving this model. With particular attention to handle dynamic constraints, an efficient method has been presented for directly solving the large-scale DOPF Karush-Kuhn-Tucker (KKT) system arising from the primal-dual interior point method. First, the reduced KKT system is derived, showing that dynamic constraints lead to non-zeros in off-diagonal parts in the coefficient of KKT system. Then, the efficiency of the algorithm is improved by two measures: (i) to utilise the Cholesky factorisation algorithm, a constant diagonal perturbation is introduced in the positive-indefinite KKT coefficient and (ii) efficient reordering algorithms are identified and integrated in the sparse direct solver to improve the efficiency. Case studies on the IEEE 118-bus system over 24-96 time intervals are presented. These case studies show that the proposed method has a significant speed-up than decomposed interior point methods. The proposed method has also been successfully applied in Chinese realistic large-scale power grids. Two realistic case studies are reported. Both realistic cases have over 100 000 decision variables. |
Persistent Identifier | http://hdl.handle.net/10722/197840 |
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.787 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | QIN, Z | en_US |
dc.contributor.author | Hou, Y | en_US |
dc.contributor.author | Lu, E | en_US |
dc.contributor.author | Luo, C | en_US |
dc.contributor.author | Cheng, S | en_US |
dc.date.accessioned | 2014-06-02T15:15:13Z | - |
dc.date.available | 2014-06-02T15:15:13Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | Generation, Transmission & Distribution, IET, 2014, v. 8 n. 5, p. 895-906 | en_US |
dc.identifier.issn | 1751-8687 | - |
dc.identifier.uri | http://hdl.handle.net/10722/197840 | - |
dc.description.abstract | Dynamic optimal power flow (DOPF) is an extension of optimal power flow for the optimal generation dispatch in a given time-horizon. The dynamic constraints bring tremendous numerical difficulties in solving this model. With particular attention to handle dynamic constraints, an efficient method has been presented for directly solving the large-scale DOPF Karush-Kuhn-Tucker (KKT) system arising from the primal-dual interior point method. First, the reduced KKT system is derived, showing that dynamic constraints lead to non-zeros in off-diagonal parts in the coefficient of KKT system. Then, the efficiency of the algorithm is improved by two measures: (i) to utilise the Cholesky factorisation algorithm, a constant diagonal perturbation is introduced in the positive-indefinite KKT coefficient and (ii) efficient reordering algorithms are identified and integrated in the sparse direct solver to improve the efficiency. Case studies on the IEEE 118-bus system over 24-96 time intervals are presented. These case studies show that the proposed method has a significant speed-up than decomposed interior point methods. The proposed method has also been successfully applied in Chinese realistic large-scale power grids. Two realistic case studies are reported. Both realistic cases have over 100 000 decision variables. | en_US |
dc.language | eng | en_US |
dc.publisher | IET. | en_US |
dc.relation.ispartof | Generation, Transmission & Distribution, IET | en_US |
dc.title | Solving long time-horizon dynamic optimal power flow of large-scale power grids with direct solution method | en_US |
dc.type | Article | en_US |
dc.identifier.email | Hou, Y: yhhou@eee.hku.hk | en_US |
dc.identifier.authority | Hou, Y=rp00069 | en_US |
dc.identifier.doi | 10.1049/iet-gtd.2013.0659 | en_US |
dc.identifier.scopus | eid_2-s2.0-84899844837 | - |
dc.identifier.hkuros | 229094 | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.spage | 895 | en_US |
dc.identifier.epage | 906 | en_US |
dc.identifier.eissn | 1751-8695 | - |
dc.identifier.isi | WOS:000335837000011 | - |
dc.identifier.issnl | 1751-8687 | - |