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Assessing the performance of DG in distribution network

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Main Authors: Siti Rafidah, Abdul Rahim, Ismail, Musirin, Dr., Mohd Herwan, Sulaiman, Dr., Muhd Hatta, Hussain, Azralmukmin, Azmi
Other Authors: rafidah@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Distributed Generation (DG)
Hybrid Mutation-Evolutionary Programming (HM-EP)
Particle Swarm Optimization (PSO)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26517
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spelling my.unimap-265172013-07-09T03:22:03Z Assessing the performance of DG in distribution network Siti Rafidah, Abdul Rahim Ismail, Musirin, Dr. Mohd Herwan, Sulaiman, Dr. Muhd Hatta, Hussain Azralmukmin, Azmi rafidah@unimap.edu.my ismailbm@salam.uitm.edu.my herwan@ump.edu.my muhdhatta@unimap.edu.my azralmukmin@unimap.edu.my Distributed Generation (DG) Hybrid Mutation-Evolutionary Programming (HM-EP) Particle Swarm Optimization (PSO) Link to publisher's homepage at http://ieeexplore.ieee.org/ Distributed Generation (DG) integrated into distribution networks continued to grow both in number and size. Governments' incentives and obligations for a sustainable energy ensure that DG is going to be an important element in the future distribution systems. To achieve the maximum benefits of DG, factors such as the number and the capacity of the units and the best location have to be considered. This problem is addressed in this study by the development of algorithm to optimize the output of the DG in order to assess the performance from its installation. The optimization technique that will be used is Hybrid Mutation-Evolutionary Programming (HM-EP) and Particle swarm Optimization (PSO). The proposed technique would be able to effectively improve the voltage profile and also reduction in distribution losses. The proposed technique will be tested on IEEE 69-bus Reliability Test Systems and will be developed using the MATLAB programming software. 2013-07-08T07:24:27Z 2013-07-08T07:24:27Z 2012-06-06 Working Paper p. 436-441 978-146730661-4 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6230904 http://hdl.handle.net/123456789/26517 en Proceedings of the International Power Engineering and Optimization Conference (PEOCO 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Distributed Generation (DG)
Hybrid Mutation-Evolutionary Programming (HM-EP)
Particle Swarm Optimization (PSO)
spellingShingle Distributed Generation (DG)
Hybrid Mutation-Evolutionary Programming (HM-EP)
Particle Swarm Optimization (PSO)
Siti Rafidah, Abdul Rahim
Ismail, Musirin, Dr.
Mohd Herwan, Sulaiman, Dr.
Muhd Hatta, Hussain
Azralmukmin, Azmi
Assessing the performance of DG in distribution network
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 rafidah@unimap.edu.my
author_facet rafidah@unimap.edu.my
Siti Rafidah, Abdul Rahim
Ismail, Musirin, Dr.
Mohd Herwan, Sulaiman, Dr.
Muhd Hatta, Hussain
Azralmukmin, Azmi
format Working Paper
author Siti Rafidah, Abdul Rahim
Ismail, Musirin, Dr.
Mohd Herwan, Sulaiman, Dr.
Muhd Hatta, Hussain
Azralmukmin, Azmi
author_sort Siti Rafidah, Abdul Rahim
title Assessing the performance of DG in distribution network
title_short Assessing the performance of DG in distribution network
title_full Assessing the performance of DG in distribution network
title_fullStr Assessing the performance of DG in distribution network
title_full_unstemmed Assessing the performance of DG in distribution network
title_sort assessing the performance of dg in distribution network
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26517
_version_ 1643794970781417472
score 13.214268

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