Loading…
Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems
This paper deals with an investigation on the effectiveness of integrated Statcom-Fuel cells in improving the transient stability of power systems. In this paper, a voltage source inverter based Statcom is used to alleviate the transient stability issues. In order to increase the real power compensa...
Saved in:
Published in: | International journal of hydrogen energy 2016-01, Vol.41 (3), p.1944-1957 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163 |
---|---|
cites | cdi_FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163 |
container_end_page | 1957 |
container_issue | 3 |
container_start_page | 1944 |
container_title | International journal of hydrogen energy |
container_volume | 41 |
creator | Stella, M. Ezra, Morris A.G. Peer Fathima, A. Khang Jiunn, C. |
description | This paper deals with an investigation on the effectiveness of integrated Statcom-Fuel cells in improving the transient stability of power systems. In this paper, a voltage source inverter based Statcom is used to alleviate the transient stability issues. In order to increase the real power compensation capability of the Statcom, it is integrated with fuel cells. Fuel cells are known for providing reliable back up power, though, they do not respond quickly to unexpected changes. An effectual hybrid control algorithm is used to compensate for the energy oscillations that occur due to unexpected changes, compensate for the slow response of fuel cells, and hence to improve transient stability of the system. The control scheme uses a two-layer neuro-fuzzy PI controller which is a function based Takagi-Sugeno-Kang fuzzy model. In order to circumvent the recurring computation of controller parameters at different operating conditions, a modified PSO algorithm is used. The efficacy of the proposed approach is assessed in a multimachine transmission system using MATLAB simulation under various transient disturbances and operating conditions. The results are compared with that of an integrated Statcom-BESS. Explorations reveal that the transient stability is amazingly improved with the incorporation of an integrated fuel cell system. |
doi_str_mv | 10.1016/j.ijhydene.2015.11.130 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1808115214</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360319915307059</els_id><sourcerecordid>1808115214</sourcerecordid><originalsourceid>FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163</originalsourceid><addsrcrecordid>eNqFkMtOwzAQRS0EEqXwC8hLNgmeOrGTHQhRQKqExGNt2c6Yusqj2C6of0_awprVbO65unMIuQSWAwNxvcr9arltsMd8xqDMAXLg7IhMoJJ1xotKHpMJ44JlHOr6lJzFuGIMJCvqCWlfMKIOdkmHnqYlUnTOW223dHB003vnsaGvSSc7dNl8gy212LaR-p76bh2GL99_7LkUdB899onGpI1vfdpXrIdvDDRuY8IunpMTp9uIF793St7n9293j9ni-eHp7naR2aIUKUNumtKZUhojnJk52VTaiEZLxmtbOGlmteAMtOGOQcVKyZhEJyrOtYMaBJ-Sq0PvOPBzgzGpzsfdbt3jsIlqhCqAcgbFGBWHqA1DjAGdWgff6bBVwNROr1qpP71qp1cBqFHvCN4cQBwf-fIYVLTj-xYbH9Am1Qz-v4ofDK6I6g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1808115214</pqid></control><display><type>article</type><title>Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems</title><source>ScienceDirect Freedom Collection</source><creator>Stella, M. ; Ezra, Morris A.G. ; Peer Fathima, A. ; Khang Jiunn, C.</creator><creatorcontrib>Stella, M. ; Ezra, Morris A.G. ; Peer Fathima, A. ; Khang Jiunn, C.</creatorcontrib><description>This paper deals with an investigation on the effectiveness of integrated Statcom-Fuel cells in improving the transient stability of power systems. In this paper, a voltage source inverter based Statcom is used to alleviate the transient stability issues. In order to increase the real power compensation capability of the Statcom, it is integrated with fuel cells. Fuel cells are known for providing reliable back up power, though, they do not respond quickly to unexpected changes. An effectual hybrid control algorithm is used to compensate for the energy oscillations that occur due to unexpected changes, compensate for the slow response of fuel cells, and hence to improve transient stability of the system. The control scheme uses a two-layer neuro-fuzzy PI controller which is a function based Takagi-Sugeno-Kang fuzzy model. In order to circumvent the recurring computation of controller parameters at different operating conditions, a modified PSO algorithm is used. The efficacy of the proposed approach is assessed in a multimachine transmission system using MATLAB simulation under various transient disturbances and operating conditions. The results are compared with that of an integrated Statcom-BESS. Explorations reveal that the transient stability is amazingly improved with the incorporation of an integrated fuel cell system.</description><identifier>ISSN: 0360-3199</identifier><identifier>EISSN: 1879-3487</identifier><identifier>DOI: 10.1016/j.ijhydene.2015.11.130</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Algorithms ; Controllers ; Effectiveness ; Fuel cell ; Fuel cells ; Fuzzy ; Mathematical models ; Matlab ; Modified PSO ; Neuro-fuzzy ; STATCOM ; Transient stability</subject><ispartof>International journal of hydrogen energy, 2016-01, Vol.41 (3), p.1944-1957</ispartof><rights>2015 Hydrogen Energy Publications, LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163</citedby><cites>FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Stella, M.</creatorcontrib><creatorcontrib>Ezra, Morris A.G.</creatorcontrib><creatorcontrib>Peer Fathima, A.</creatorcontrib><creatorcontrib>Khang Jiunn, C.</creatorcontrib><title>Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems</title><title>International journal of hydrogen energy</title><description>This paper deals with an investigation on the effectiveness of integrated Statcom-Fuel cells in improving the transient stability of power systems. In this paper, a voltage source inverter based Statcom is used to alleviate the transient stability issues. In order to increase the real power compensation capability of the Statcom, it is integrated with fuel cells. Fuel cells are known for providing reliable back up power, though, they do not respond quickly to unexpected changes. An effectual hybrid control algorithm is used to compensate for the energy oscillations that occur due to unexpected changes, compensate for the slow response of fuel cells, and hence to improve transient stability of the system. The control scheme uses a two-layer neuro-fuzzy PI controller which is a function based Takagi-Sugeno-Kang fuzzy model. In order to circumvent the recurring computation of controller parameters at different operating conditions, a modified PSO algorithm is used. The efficacy of the proposed approach is assessed in a multimachine transmission system using MATLAB simulation under various transient disturbances and operating conditions. The results are compared with that of an integrated Statcom-BESS. Explorations reveal that the transient stability is amazingly improved with the incorporation of an integrated fuel cell system.</description><subject>Algorithms</subject><subject>Controllers</subject><subject>Effectiveness</subject><subject>Fuel cell</subject><subject>Fuel cells</subject><subject>Fuzzy</subject><subject>Mathematical models</subject><subject>Matlab</subject><subject>Modified PSO</subject><subject>Neuro-fuzzy</subject><subject>STATCOM</subject><subject>Transient stability</subject><issn>0360-3199</issn><issn>1879-3487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAQRS0EEqXwC8hLNgmeOrGTHQhRQKqExGNt2c6Yusqj2C6of0_awprVbO65unMIuQSWAwNxvcr9arltsMd8xqDMAXLg7IhMoJJ1xotKHpMJ44JlHOr6lJzFuGIMJCvqCWlfMKIOdkmHnqYlUnTOW223dHB003vnsaGvSSc7dNl8gy212LaR-p76bh2GL99_7LkUdB899onGpI1vfdpXrIdvDDRuY8IunpMTp9uIF793St7n9293j9ni-eHp7naR2aIUKUNumtKZUhojnJk52VTaiEZLxmtbOGlmteAMtOGOQcVKyZhEJyrOtYMaBJ-Sq0PvOPBzgzGpzsfdbt3jsIlqhCqAcgbFGBWHqA1DjAGdWgff6bBVwNROr1qpP71qp1cBqFHvCN4cQBwf-fIYVLTj-xYbH9Am1Qz-v4ofDK6I6g</recordid><startdate>20160121</startdate><enddate>20160121</enddate><creator>Stella, M.</creator><creator>Ezra, Morris A.G.</creator><creator>Peer Fathima, A.</creator><creator>Khang Jiunn, C.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20160121</creationdate><title>Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems</title><author>Stella, M. ; Ezra, Morris A.G. ; Peer Fathima, A. ; Khang Jiunn, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Controllers</topic><topic>Effectiveness</topic><topic>Fuel cell</topic><topic>Fuel cells</topic><topic>Fuzzy</topic><topic>Mathematical models</topic><topic>Matlab</topic><topic>Modified PSO</topic><topic>Neuro-fuzzy</topic><topic>STATCOM</topic><topic>Transient stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stella, M.</creatorcontrib><creatorcontrib>Ezra, Morris A.G.</creatorcontrib><creatorcontrib>Peer Fathima, A.</creatorcontrib><creatorcontrib>Khang Jiunn, C.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of hydrogen energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stella, M.</au><au>Ezra, Morris A.G.</au><au>Peer Fathima, A.</au><au>Khang Jiunn, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems</atitle><jtitle>International journal of hydrogen energy</jtitle><date>2016-01-21</date><risdate>2016</risdate><volume>41</volume><issue>3</issue><spage>1944</spage><epage>1957</epage><pages>1944-1957</pages><issn>0360-3199</issn><eissn>1879-3487</eissn><abstract>This paper deals with an investigation on the effectiveness of integrated Statcom-Fuel cells in improving the transient stability of power systems. In this paper, a voltage source inverter based Statcom is used to alleviate the transient stability issues. In order to increase the real power compensation capability of the Statcom, it is integrated with fuel cells. Fuel cells are known for providing reliable back up power, though, they do not respond quickly to unexpected changes. An effectual hybrid control algorithm is used to compensate for the energy oscillations that occur due to unexpected changes, compensate for the slow response of fuel cells, and hence to improve transient stability of the system. The control scheme uses a two-layer neuro-fuzzy PI controller which is a function based Takagi-Sugeno-Kang fuzzy model. In order to circumvent the recurring computation of controller parameters at different operating conditions, a modified PSO algorithm is used. The efficacy of the proposed approach is assessed in a multimachine transmission system using MATLAB simulation under various transient disturbances and operating conditions. The results are compared with that of an integrated Statcom-BESS. Explorations reveal that the transient stability is amazingly improved with the incorporation of an integrated fuel cell system.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ijhydene.2015.11.130</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0360-3199 |
ispartof | International journal of hydrogen energy, 2016-01, Vol.41 (3), p.1944-1957 |
issn | 0360-3199 1879-3487 |
language | eng |
recordid | cdi_proquest_miscellaneous_1808115214 |
source | ScienceDirect Freedom Collection |
subjects | Algorithms Controllers Effectiveness Fuel cell Fuel cells Fuzzy Mathematical models Matlab Modified PSO Neuro-fuzzy STATCOM Transient stability |
title | Research on the efficacy of unified Statcom-Fuel cells in improving the transient stability of power systems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A20%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Research%20on%20the%20efficacy%20of%20unified%20Statcom-Fuel%20cells%20in%20improving%20the%20transient%20stability%20of%20power%20systems&rft.jtitle=International%20journal%20of%20hydrogen%20energy&rft.au=Stella,%20M.&rft.date=2016-01-21&rft.volume=41&rft.issue=3&rft.spage=1944&rft.epage=1957&rft.pages=1944-1957&rft.issn=0360-3199&rft.eissn=1879-3487&rft_id=info:doi/10.1016/j.ijhydene.2015.11.130&rft_dat=%3Cproquest_cross%3E1808115214%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c456t-e3bd5fb57bb6fb2f7d8ab6da7039c4f7b296301ab3f018057007ef6833af19163%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1808115214&rft_id=info:pmid/&rfr_iscdi=true |