DSpace Repository

Power quality improvement in wind integrated distribution system using hybrid fuzzy genetic controller [articol]

Show simple item record

dc.contributor.author Williams, A. Subanth
dc.contributor.author Mani Malar, R. Suja
dc.contributor.author Ahilan, T.
dc.date.accessioned 2024-09-23T07:27:46Z
dc.date.available 2024-09-23T07:27:46Z
dc.date.issued 2020
dc.identifier.citation Williams, A. Subanth; Mani Malar, R. Suja; Ahilan, T.: Power quality improvement in wind integrated distribution system using hybrid fuzzy genetic controller. Timişoara: Editura Politehnica, 2020. en_US
dc.identifier.issn 1582-4594
dc.identifier.uri https://dspace.upt.ro/xmlui/handle/123456789/6633
dc.description.abstract The distribution systems are transitioning from passive to active with the adaptation of storage, smart-grid, and distribution generation technologies. The reliability of the system can be improved due to the novel controllers, switches, and communication equipment. The common power quality issues are harmonics, signalling voltages, voltage fluctuations, voltage dips, voltage unbalance, power frequency variation, and induced low frequency voltages. These problems can degrade the output power level. To overcome the above problems through the power quality devices like Dynamic voltage restorer (DVR), distribution static compensator (DSTATCOM), and unified power quality conditioner (UPQC). The power quality mitigation technique includes the controller placement and it is named by Hybrid term of fuzzy-genetic controller (FG). Voltage sag, swell, and harmonics, such kind of problems have been analysed in this paper. The results are compared with the existing controllers. The proposed results are load voltage, injected voltage, and generated voltages are taken out. The performance of power quality is analysed through the multi compensating devices, and it is implemented in MMATLAB/SIMULINK. Thus the proposed system can yield the better results instead of the harmonic which is appeared in DVR, DSTATCOM, and UPQC are 0.008231%, 0.0831%, and 0.004308% respectively. en_US
dc.language.iso en en_US
dc.publisher Timișoara : Editura Politehnica en_US
dc.relation.ispartofseries Journal of Electrical Engineering;Vol 20 No 1
dc.subject Dynamic Voltage Restorer en_US
dc.subject Distribution static compensator; en_US
dc.subject Fuzzy Genetic Algorithm en_US
dc.subject Voltage Sag en_US
dc.subject Voltage Swell en_US
dc.subject Power Quality Improvement en_US
dc.subject Harmonic Reduction en_US
dc.title Power quality improvement in wind integrated distribution system using hybrid fuzzy genetic controller [articol] en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account