Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement

The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pol...

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Main Authors: Ab Ghani, Mohd Ruddin, Hasan, Ihsan Jabbar, Gan, Chin Kim
Format: Conference or Workshop Item
Language:English
Published: 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/13698/2/Optimum_Distributed_Generation_Allocation_Using_PSO_in_order_to_Reduce_Losses_and_Voltage_Improvement.pdf
http://eprints.utem.edu.my/id/eprint/13698/
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spelling my.utem.eprints.136982015-05-28T04:33:30Z http://eprints.utem.edu.my/id/eprint/13698/ Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement Ab Ghani, Mohd Ruddin Hasan, Ihsan Jabbar Gan, Chin Kim TK Electrical engineering. Electronics Nuclear engineering The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by met heuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement. 2014-11-24 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13698/2/Optimum_Distributed_Generation_Allocation_Using_PSO_in_order_to_Reduce_Losses_and_Voltage_Improvement.pdf Ab Ghani, Mohd Ruddin and Hasan, Ihsan Jabbar and Gan, Chin Kim (2014) Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement. In: International Conference on Clean Energy and Technology (CEAT 2014), 24-26 November 2014, Kuching, Sarawak, Malaysia. (Submitted)
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ab Ghani, Mohd Ruddin
Hasan, Ihsan Jabbar
Gan, Chin Kim
Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
description The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by met heuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement.
format Conference or Workshop Item
author Ab Ghani, Mohd Ruddin
Hasan, Ihsan Jabbar
Gan, Chin Kim
author_facet Ab Ghani, Mohd Ruddin
Hasan, Ihsan Jabbar
Gan, Chin Kim
author_sort Ab Ghani, Mohd Ruddin
title Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
title_short Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
title_full Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
title_fullStr Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
title_full_unstemmed Optimum Distributed Generation Allocation Using PSO in order to Reduce Losses and Voltage Improvement
title_sort optimum distributed generation allocation using pso in order to reduce losses and voltage improvement
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/13698/2/Optimum_Distributed_Generation_Allocation_Using_PSO_in_order_to_Reduce_Losses_and_Voltage_Improvement.pdf
http://eprints.utem.edu.my/id/eprint/13698/
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score 13.160551