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- Publisher Website: 10.1109/UPEC.2007.4468981
- Scopus: eid_2-s2.0-51849142826
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Conference Paper: Power system probabilistic small signal stability analysis using two point estimation method
Title | Power system probabilistic small signal stability analysis using two point estimation method |
---|---|
Authors | |
Keywords | Eigenvalue Point Estimation Probabilistic Analysis Small Signal Stability |
Issue Date | 2007 |
Citation | Proceedings Of The Universities Power Engineering Conference, 2007, p. 402-407 How to Cite? |
Abstract | A so-called two-point estimation (TPE) method is presented in this paper for power system probabilistic small signal stability (PSSS) analysis. With the development of power systems under open access environment, it is highly desired to investigate power system stability with uncertainties in both system parameters and operating conditions. Monte Carlo simulation (MCS) method has been widely used for this purpose. However, this method is very time-consuming. The TPE based method proposed in this paper provides a way to solve this problem to some extent. It estimate the statistical characteristics of random variables with less calculation requirement while keeping enough calculating precision. The TPE based method for the PSSS analysis is outlined. Then, the model as well as the stable indices for power system PSSS are presented. The effectiveness of the proposed method is verified by the simulation results on a 3generator-9-node power system. |
Persistent Identifier | http://hdl.handle.net/10722/158557 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yi, H | en_US |
dc.contributor.author | Hou, Y | en_US |
dc.contributor.author | Cheng, S | en_US |
dc.contributor.author | Zhou, H | en_US |
dc.contributor.author | Chen, G | en_US |
dc.date.accessioned | 2012-08-08T09:00:15Z | - |
dc.date.available | 2012-08-08T09:00:15Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | Proceedings Of The Universities Power Engineering Conference, 2007, p. 402-407 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158557 | - |
dc.description.abstract | A so-called two-point estimation (TPE) method is presented in this paper for power system probabilistic small signal stability (PSSS) analysis. With the development of power systems under open access environment, it is highly desired to investigate power system stability with uncertainties in both system parameters and operating conditions. Monte Carlo simulation (MCS) method has been widely used for this purpose. However, this method is very time-consuming. The TPE based method proposed in this paper provides a way to solve this problem to some extent. It estimate the statistical characteristics of random variables with less calculation requirement while keeping enough calculating precision. The TPE based method for the PSSS analysis is outlined. Then, the model as well as the stable indices for power system PSSS are presented. The effectiveness of the proposed method is verified by the simulation results on a 3generator-9-node power system. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings of the Universities Power Engineering Conference | en_US |
dc.subject | Eigenvalue | en_US |
dc.subject | Point Estimation | en_US |
dc.subject | Probabilistic Analysis | en_US |
dc.subject | Small Signal Stability | en_US |
dc.title | Power system probabilistic small signal stability analysis using two point estimation method | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Hou, Y:yhhou@eee.hku.hk | en_US |
dc.identifier.authority | Hou, Y=rp00069 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1109/UPEC.2007.4468981 | en_US |
dc.identifier.scopus | eid_2-s2.0-51849142826 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-51849142826&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.spage | 402 | en_US |
dc.identifier.epage | 407 | en_US |
dc.identifier.scopusauthorid | Yi, H=23096542500 | en_US |
dc.identifier.scopusauthorid | Hou, Y=7402198555 | en_US |
dc.identifier.scopusauthorid | Cheng, S=7404685116 | en_US |
dc.identifier.scopusauthorid | Zhou, H=7404742185 | en_US |
dc.identifier.scopusauthorid | Chen, G=24334270600 | en_US |