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...

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Main Authors: Heidari, Alireza, Agelidis, Vassilios G., Pou, Josep, Aghaei, Jamshid, Amer Mohammad Yusuf Mohammad Ghias
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139803
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Customer Interruption Cost Model
Distributed Generation
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
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.
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
format Article
author Heidari, Alireza
Agelidis, Vassilios G.
Pou, Josep
Aghaei, Jamshid
Amer Mohammad Yusuf Mohammad Ghias
author_sort Heidari, Alireza
title 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_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_sort reliability worth analysis of distribution systems using cascade correlation neural networks
publishDate 2020
url https://hdl.handle.net/10356/139803
_version_ 1681056854606610432