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Article: Study on the order reduction of two-time scale power system dynamic models. Part one power system singular perturbation model
Title | Study on the order reduction of two-time scale power system dynamic models. Part one power system singular perturbation model |
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Authors | |
Keywords | Differential-algebraic equation Electromagnetic transients Model reduction Power system singular perturbation model Power system stability |
Issue Date | 2002 |
Citation | Dianli Xitong Zidonghue/Automation Of Electric Power Systems, 2002, v. 26 n. 18, p. 1-5 How to Cite? |
Abstract | Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity. For improving the efficiency of power system stability analysis, it is necessary to study tow-time scale dynamic models of power systems and relevant model reduction. A singular perturbation model incorporating fast and slow electromagnetic transients is derived based on physical circuits of power systems. The load model is treated as an induction motor in parallel with linear impedance, and line charging capacitance and compensation capacitors are also considered. The models derived in this paper lay the modeling foundation for performing systematic model reduction of power systems. |
Persistent Identifier | http://hdl.handle.net/10722/74026 |
ISSN | 2023 SCImago Journal Rankings: 1.171 |
References |
DC Field | Value | Language |
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dc.contributor.author | Liu, Y | en_HK |
dc.contributor.author | Yan, Z | en_HK |
dc.contributor.author | Ni, Y | en_HK |
dc.contributor.author | Wu, F | en_HK |
dc.date.accessioned | 2010-09-06T06:57:05Z | - |
dc.date.available | 2010-09-06T06:57:05Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.citation | Dianli Xitong Zidonghue/Automation Of Electric Power Systems, 2002, v. 26 n. 18, p. 1-5 | en_HK |
dc.identifier.issn | 1000-1026 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/74026 | - |
dc.description.abstract | Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity. For improving the efficiency of power system stability analysis, it is necessary to study tow-time scale dynamic models of power systems and relevant model reduction. A singular perturbation model incorporating fast and slow electromagnetic transients is derived based on physical circuits of power systems. The load model is treated as an induction motor in parallel with linear impedance, and line charging capacitance and compensation capacitors are also considered. The models derived in this paper lay the modeling foundation for performing systematic model reduction of power systems. | en_HK |
dc.language | eng | en_HK |
dc.relation.ispartof | Dianli Xitong Zidonghue/Automation of Electric Power Systems | en_HK |
dc.subject | Differential-algebraic equation | en_HK |
dc.subject | Electromagnetic transients | en_HK |
dc.subject | Model reduction | en_HK |
dc.subject | Power system singular perturbation model | en_HK |
dc.subject | Power system stability | en_HK |
dc.title | Study on the order reduction of two-time scale power system dynamic models. Part one power system singular perturbation model | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Ni, Y: yxni@eee.hku.hk | en_HK |
dc.identifier.email | Wu, F: ffwu@eee.hku.hk | en_HK |
dc.identifier.authority | Ni, Y=rp00161 | en_HK |
dc.identifier.authority | Wu, F=rp00194 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-0037174573 | en_HK |
dc.identifier.hkuros | 82976 | en_HK |
dc.identifier.hkuros | 83063 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0037174573&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 26 | en_HK |
dc.identifier.issue | 18 | en_HK |
dc.identifier.spage | 1 | en_HK |
dc.identifier.epage | 5 | en_HK |
dc.publisher.place | China | en_HK |
dc.identifier.scopusauthorid | Liu, Y=8869316500 | en_HK |
dc.identifier.scopusauthorid | Yan, Z=7402519416 | en_HK |
dc.identifier.scopusauthorid | Ni, Y=7402910021 | en_HK |
dc.identifier.scopusauthorid | Wu, F=7403465107 | en_HK |
dc.identifier.issnl | 1000-1026 | - |