Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method
Most of Probabilistic Load Flow (PLF) studies with consideration of generation and load uncertainties concern with reducing efforts computational in addition high accuracy. One of the most famous expansion method used is Gram-Charlier and Comulants. This paper proposed a Probabilistic Collocation...
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Universiti Teknologi Malaysia
2016
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| Online Access: | http://irep.iium.edu.my/52440/ http://irep.iium.edu.my/52440/ http://irep.iium.edu.my/52440/1/52440_Enhancing%20computational%20efforts%20with%20consideration.pdf |
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iium-52440 |
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eprints |
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iium-524402017-07-10T01:19:43Z http://irep.iium.edu.my/52440/ Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method Khairuddin, Azhar Khalifa, Othman Omran Alhammi, Abdelwahab I. T Technology (General) T10.5 Communication of technical information Most of Probabilistic Load Flow (PLF) studies with consideration of generation and load uncertainties concern with reducing efforts computational in addition high accuracy. One of the most famous expansion method used is Gram-Charlier and Comulants. This paper proposed a Probabilistic Collocation Method (PCM) to improve the common used PLF computation methods in order to model the network topology uncertainties. This method uses Probabilistic Distribution Functions (PDF) concept to model the impact of network uncertainties as a linear function of power injections. Maintaining the linear relationship between line flows and power injections of transmission line flows. The proposed method is examined using IEEE39-bus test system. Numerical comparison with Monte Carlo simulation method was presented in this paper. Study results indicated that the proposed method has significantly reduced the computational efforts while maintaining a high degree of accuracy. Universiti Teknologi Malaysia 2016-08-15 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/52440/1/52440_Enhancing%20computational%20efforts%20with%20consideration.pdf Khairuddin, Azhar and Khalifa, Othman Omran and Alhammi, Abdelwahab I. (2016) Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method. In: 6th International Graduate Conference on Engineering, Science and Humanities International (IGCESH 2016), 15th-17th August 2016, Johor Bahru, Johor. http://sps.utm.my/igcesh2016/conference-proceedings/ |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) T10.5 Communication of technical information |
| spellingShingle |
T Technology (General) T10.5 Communication of technical information Khairuddin, Azhar Khalifa, Othman Omran Alhammi, Abdelwahab I. Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| description |
Most of Probabilistic Load Flow (PLF) studies with consideration of generation and load uncertainties
concern with reducing efforts computational in addition high accuracy. One of the most famous
expansion method used is Gram-Charlier and Comulants. This paper proposed a Probabilistic Collocation
Method (PCM) to improve the common used PLF computation methods in order to model the network
topology uncertainties. This method uses Probabilistic Distribution Functions (PDF) concept to model the
impact of network uncertainties as a linear function of power injections. Maintaining the linear
relationship between line flows and power injections of transmission line flows. The proposed method is
examined using IEEE39-bus test system. Numerical comparison with Monte Carlo simulation method
was presented in this paper. Study results indicated that the proposed method has significantly reduced
the computational efforts while maintaining a high degree of accuracy. |
| format |
Conference or Workshop Item |
| author |
Khairuddin, Azhar Khalifa, Othman Omran Alhammi, Abdelwahab I. |
| author_facet |
Khairuddin, Azhar Khalifa, Othman Omran Alhammi, Abdelwahab I. |
| author_sort |
Khairuddin, Azhar |
| title |
Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| title_short |
Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| title_full |
Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| title_fullStr |
Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| title_full_unstemmed |
Enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| title_sort |
enhancing computational efforts with consideration of probabilistic available transfer capability using probabilistic collocation method |
| publisher |
Universiti Teknologi Malaysia |
| publishDate |
2016 |
| url |
http://irep.iium.edu.my/52440/ http://irep.iium.edu.my/52440/ http://irep.iium.edu.my/52440/1/52440_Enhancing%20computational%20efforts%20with%20consideration.pdf |
| first_indexed |
2023-09-18T21:14:19Z |
| last_indexed |
2023-09-18T21:14:19Z |
| _version_ |
1777411460666753024 |