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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beharrysingh, S. Sharma, C. |
| Copyright Year | 2006 |
| Abstract | A probabilistic load flow simulation and contingency analysis program (PLFSCVICAP) is developed and applied to a practical long term system planning problem. The program computes the probability density functions and cumulative distribution functions of system parameters such as line flows and bus voltage magnitudes. Unlike conventional or deterministic solutions, the probabilistic solution to the power flow problem accounts for the characteristic uncertainty of power systems associated with network, nodal load and nodal generation, which are the basic input parameters to the system planning process. The increased depth of information that can be gained in the system planning process by this type of analysis which is performed within one solution is demonstrated by its application to the local Trinidad and Tobago electrical transmission system. In particular, probabilistic load flow techniques are used to address quantitatively the generation required in the island of Tobago as a transmission planning problem. It evaluates the amount of generation required to bring the voltages on the 33 kV system of the island to a level comparable to similar systems in Trinidad. Furthermore, the circuit loading on the cables linking both islands are examined for these generation amounts |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 1988841 |
| Page Count | 9 |
| File Format | |
| ISBN | 9789171785855 |
| DOI | 10.1109/PMAPS.2006.360251 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-11 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | KTH |
| Subject Keyword | Power system planning Load flow Computational modeling Power system analysis computing Voltage Process planning Analytical models Load flow analysis Distributed computing Probability density function contingency analysis probabilistic load flow power system planning mathematical convolution probability density function Fast Fourier transform |
| Content Type | Text |
| Resource Type | Article |
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