Reliability worth analysis of distribution systems using cascade correlation neural networks
Reliability worth analysis is of great importance in the area of distribution network planning and operation. The reliability worth’s precision can be affected greatly by the customer interruption cost model used. The choice of the cost models can change system and load point reliability indices. In...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/139803 |
| _version_ | 1811681575862009856 |
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| author | Heidari, Alireza Agelidis, Vassilios G. Pou, Josep Aghaei, Jamshid Amer Mohammad Yusuf Mohammad Ghias |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Heidari, Alireza Agelidis, Vassilios G. Pou, Josep Aghaei, Jamshid Amer Mohammad Yusuf Mohammad Ghias |
| author_sort | Heidari, Alireza |
| collection | NTU |
| description | Reliability worth analysis is of great importance in the area of distribution network planning and operation. The reliability worth’s precision can be affected greatly by the customer interruption cost model used. The choice of the cost models can change system and load point reliability indices. In this study, a cascade correlation neural network is adopted to further develop two cost models comprising a probabilistic distribution model and an average or aggregate model. A contingency-based analytical technique is adopted to conduct the reliability worth analysis. Furthermore, the possible effects of adding distributed generation units into the network are evaluated. The proposed approach has been tested on a radial distribution test network evaluating the reliability worth. The results show that the probabilistic distribution model provides a more realistic model for the reliability analysis. |
| first_indexed | 2024-10-01T03:43:08Z |
| format | Journal Article |
| id | ntu-10356/139803 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:43:08Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1398032020-05-21T08:50:54Z Reliability worth analysis of distribution systems using cascade correlation neural networks Heidari, Alireza Agelidis, Vassilios G. Pou, Josep Aghaei, Jamshid Amer Mohammad Yusuf Mohammad Ghias School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Customer Interruption Cost Model Distributed Generation Reliability worth analysis is of great importance in the area of distribution network planning and operation. The reliability worth’s precision can be affected greatly by the customer interruption cost model used. The choice of the cost models can change system and load point reliability indices. In this study, a cascade correlation neural network is adopted to further develop two cost models comprising a probabilistic distribution model and an average or aggregate model. A contingency-based analytical technique is adopted to conduct the reliability worth analysis. Furthermore, the possible effects of adding distributed generation units into the network are evaluated. The proposed approach has been tested on a radial distribution test network evaluating the reliability worth. The results show that the probabilistic distribution model provides a more realistic model for the reliability analysis. 2020-05-21T08:50:54Z 2020-05-21T08:50:54Z 2017 Journal Article Heidari, A., Agelidis, V. G., Pou, J., Aghaei, J., & Amer Mohammad Yusuf Mohammad Ghias. (2018). Reliability worth analysis of distribution systems using cascade correlation neural networks. IEEE Transactions on Power Systems, 33(1), 412-420. doi:10.1109/TPWRS.2017.2705185 0885-8950 https://hdl.handle.net/10356/139803 10.1109/TPWRS.2017.2705185 2-s2.0-85048729134 1 33 412 420 en IEEE Transactions on Power Systems © 2017 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Customer Interruption Cost Model Distributed Generation Heidari, Alireza Agelidis, Vassilios G. Pou, Josep Aghaei, Jamshid Amer Mohammad Yusuf Mohammad Ghias Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title | Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title_full | Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title_fullStr | Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title_full_unstemmed | Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title_short | Reliability worth analysis of distribution systems using cascade correlation neural networks |
| title_sort | reliability worth analysis of distribution systems using cascade correlation neural networks |
| topic | Engineering::Electrical and electronic engineering Customer Interruption Cost Model Distributed Generation |
| url | https://hdl.handle.net/10356/139803 |
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