Investigation of voltage swell mitigation using STATCOM
STATCOM is one of the best applications of a self commutated FACTS device to control power quality problems in the distribution system. This project proposed a STATCOM model with voltage control mechanism. DQ transformation was implemented in the controller system to achieve better estimation. Then,...
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2023
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my.uniten.dspace-300872023-12-29T15:44:25Z Investigation of voltage swell mitigation using STATCOM Razak N.A.A. Jaafar S. Hussain I.S. 56960052400 57193688342 55812142600 Control mechanism Controller systems D-q transformation Distribution systems Harmful effects Harmonic frequency Negative sequence Power quality problem electrical power energy efficiency estimation method numerical model power generation simulation Electric current regulators STATCOM is one of the best applications of a self commutated FACTS device to control power quality problems in the distribution system. This project proposed a STATCOM model with voltage control mechanism. DQ transformation was implemented in the controller system to achieve better estimation. Then, the model was used to investigate and analyse voltage swell problem in distribution system. The simulation results show that voltage swell could contaminate distribution network with unwanted harmonic frequencies. Negative sequence frequencies give harmful effects to the network. System connected with proposed STATCOM model illustrates that it could mitigate this problems efficiently. � Published under licence by IOP Publishing Ltd. Final 2023-12-29T07:44:25Z 2023-12-29T07:44:25Z 2013 Conference paper 10.1088/1755-1315/16/1/012079 2-s2.0-84881112095 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881112095&doi=10.1088%2f1755-1315%2f16%2f1%2f012079&partnerID=40&md5=95044440ee16c07533436b369a2809e5 https://irepository.uniten.edu.my/handle/123456789/30087 16 1 12079 All Open Access; Gold Open Access Institute of Physics Publishing Scopus |
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Control mechanism Controller systems D-q transformation Distribution systems Harmful effects Harmonic frequency Negative sequence Power quality problem electrical power energy efficiency estimation method numerical model power generation simulation Electric current regulators |
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Control mechanism Controller systems D-q transformation Distribution systems Harmful effects Harmonic frequency Negative sequence Power quality problem electrical power energy efficiency estimation method numerical model power generation simulation Electric current regulators Razak N.A.A. Jaafar S. Hussain I.S. Investigation of voltage swell mitigation using STATCOM |
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STATCOM is one of the best applications of a self commutated FACTS device to control power quality problems in the distribution system. This project proposed a STATCOM model with voltage control mechanism. DQ transformation was implemented in the controller system to achieve better estimation. Then, the model was used to investigate and analyse voltage swell problem in distribution system. The simulation results show that voltage swell could contaminate distribution network with unwanted harmonic frequencies. Negative sequence frequencies give harmful effects to the network. System connected with proposed STATCOM model illustrates that it could mitigate this problems efficiently. � Published under licence by IOP Publishing Ltd. |
| author2 |
56960052400 |
| author_facet |
56960052400 Razak N.A.A. Jaafar S. Hussain I.S. |
| format |
Conference paper |
| author |
Razak N.A.A. Jaafar S. Hussain I.S. |
| author_sort |
Razak N.A.A. |
| title |
Investigation of voltage swell mitigation using STATCOM |
| title_short |
Investigation of voltage swell mitigation using STATCOM |
| title_full |
Investigation of voltage swell mitigation using STATCOM |
| title_fullStr |
Investigation of voltage swell mitigation using STATCOM |
| title_full_unstemmed |
Investigation of voltage swell mitigation using STATCOM |
| title_sort |
investigation of voltage swell mitigation using statcom |
| publisher |
Institute of Physics Publishing |
| publishDate |
2023 |
| _version_ |
1806428103517405184 |
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13.222552 |