Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand

Distributed generations (DG) can be used to enhance power generation systems and improve distribution system efficiency. However, the installation of DG units at non-appropriate location and sizing can result in negative impacts such as an increasing in power losses and violations of system constrai...

Full description

Saved in:
Bibliographic Details
Main Authors: Saraisuwan P., Jirapong P., Kalankul A., Premrudeepreechacharn S.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84876856155&partnerID=40&md5=688186593b29ad7630cc1ec1ab59ba36
http://cmuir.cmu.ac.th/handle/6653943832/1623
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
id th-cmuir.6653943832-1623
record_format dspace
spelling th-cmuir.6653943832-16232014-08-29T09:29:32Z Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand Saraisuwan P. Jirapong P. Kalankul A. Premrudeepreechacharn S. Distributed generations (DG) can be used to enhance power generation systems and improve distribution system efficiency. However, the installation of DG units at non-appropriate location and sizing can result in negative impacts such as an increasing in power losses and violations of system constraints. In this paper, a new DG allocation planning tool is developed for determining the optimal location and sizing of DG in practical distribution systems. The proposed planning tool is developed by writing DIgSILENT Programming Language (DPL) script in DIgSILENT PowerFactory software. The optimally placed optimal power flow (OPF) with DG is formulated as a minimization of energy losses function and a maximization of benefit to cost ratio, subjected to system constraints including real and reactive power generation, line and transformer loading, voltage profile, step voltage change, reverse power, energy losses, short circuit level, and DG operating limits. All possible locations and sizes of DG installations are evaluated and then the optimal solution is selected from the best objective function value obtained. Test results on the practical 9-bus and 437-bus distribution systems taken from Provincial Electricity Authority (PEA) of Thailand indicate that the proposed planning tool can be used to determine the optimal DG allocation without violation of system constraints. © 2011 IEEE. 2014-08-29T09:29:32Z 2014-08-29T09:29:32Z 2012 Conference Paper 9781467360081 10.1109/ICUEPES.2011.6497709 96750 http://www.scopus.com/inward/record.url?eid=2-s2.0-84876856155&partnerID=40&md5=688186593b29ad7630cc1ec1ab59ba36 http://cmuir.cmu.ac.th/handle/6653943832/1623 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description Distributed generations (DG) can be used to enhance power generation systems and improve distribution system efficiency. However, the installation of DG units at non-appropriate location and sizing can result in negative impacts such as an increasing in power losses and violations of system constraints. In this paper, a new DG allocation planning tool is developed for determining the optimal location and sizing of DG in practical distribution systems. The proposed planning tool is developed by writing DIgSILENT Programming Language (DPL) script in DIgSILENT PowerFactory software. The optimally placed optimal power flow (OPF) with DG is formulated as a minimization of energy losses function and a maximization of benefit to cost ratio, subjected to system constraints including real and reactive power generation, line and transformer loading, voltage profile, step voltage change, reverse power, energy losses, short circuit level, and DG operating limits. All possible locations and sizes of DG installations are evaluated and then the optimal solution is selected from the best objective function value obtained. Test results on the practical 9-bus and 437-bus distribution systems taken from Provincial Electricity Authority (PEA) of Thailand indicate that the proposed planning tool can be used to determine the optimal DG allocation without violation of system constraints. © 2011 IEEE.
format Conference or Workshop Item
author Saraisuwan P.
Jirapong P.
Kalankul A.
Premrudeepreechacharn S.
spellingShingle Saraisuwan P.
Jirapong P.
Kalankul A.
Premrudeepreechacharn S.
Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
author_facet Saraisuwan P.
Jirapong P.
Kalankul A.
Premrudeepreechacharn S.
author_sort Saraisuwan P.
title Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
title_short Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
title_full Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
title_fullStr Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
title_full_unstemmed Allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of Thailand
title_sort allocation planning tool for determining the optimal location and sizing of distributed generations in provincial electricity authority of thailand
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84876856155&partnerID=40&md5=688186593b29ad7630cc1ec1ab59ba36
http://cmuir.cmu.ac.th/handle/6653943832/1623
_version_ 1681419704985452544