Computationally efficient methodology for analysis of faulted power systems with series-compensated transmission lines: a phase coordinate approach
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Title |
Computationally efficient methodology for analysis of faulted power systems with series-compensated transmission lines: a phase coordinate approach
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Creator |
GAJBHIYE, RK
GOPI, B KULKARNI, P SOMAN, SA |
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Subject |
electric lines
computational efficiency electric fault currents electric power system protection electric relays equivalent circuits overvoltage protection varistors |
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Description |
A capacitor in series with a transmission line is protected from overvoltage due to a large fault current by a nonlinear metal-oxide varistor (MOV) connected in parallel. Fault analysis, as well as the evaluation of performance of the transmission protection system, in the presence of MOV action becomes complex because 1) v-i characteristics of the MOV are nonlinear; 2) unsymmetrical MOV action for unsymmetrical faults will introduce coupling in sequence networks; and 3) MOV action will influence voltage or current inversion phenomenon. This paper presents a computationally efficient and simple methodology for fault analysis wherein the linear part of the network is modeled by an equivalent multiport Thevenin network. The proposed approach handles nonlinearity in fault analysis efficiently. It also provides an elegant approach to model unbalance in a network due to MOV action. The proposed approach can be used to determine relays prone to voltage or current inversion. Results on a real-life 716-bus Indian system illustrate the efficiency of the proposed approach.
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Publisher |
IEEE
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Date |
2008-12-01T09:49:16Z
2011-11-25T16:14:17Z 2011-12-26T13:05:24Z 2011-12-27T05:52:15Z 2008-12-01T09:49:16Z 2011-11-25T16:14:17Z 2011-12-26T13:05:24Z 2011-12-27T05:52:15Z 2008 |
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Type |
Article
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Identifier |
IEEE Transactions on Power Delivery 23(2), 873-80
0885-8977 http://dx.doi.org/10.1109/TPWRD.2007.915966 http://hdl.handle.net/10054/212 http://dspace.library.iitb.ac.in/xmlui/handle/10054/212 |
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Language |
en_US
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