Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/9709
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sallama, A | - |
dc.contributor.author | Abbod, M | - |
dc.contributor.author | Taylor, G | - |
dc.date.accessioned | 2015-01-13T10:57:22Z | - |
dc.date.available | 2014-10-22 | - |
dc.date.available | 2015-01-13T10:57:22Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Proceedings of the Universities Power Engineering Conference, 2014 | en_US |
dc.identifier.isbn | 9781479965571 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6934678 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9709 | - |
dc.description.abstract | This paper describes the design and implementation of advanced Supervisory Power System Stability Controller (SPSSC) using Neuro-fuzzy system, and MATLAB S-function tool where the controller is taught from data generated by simulating the system for the optimal control regime. The controller is compared to a multi-band control system which is utilized to stabilize the system for different operating conditions. Simulation results show that the supervisory power system stability controller has produced better control action in stabilizing the system for conditions such as: normal, after disturbance in the electrical national grid as a result of changing of the plant capacity like renewable energy units, high load reduction or in the worst case of fault in operating the system, e.g. phase short circuit to ground. The new controller led to making the settling time and overshoot after disturbances proved to be lower which means that the system can reach to stability in the shortest time and with minimum disruption. Such behaviour will improve the quality of the provided power to the power grid. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.subject | Sequential particle swarm optimization (SPSO) | en_US |
dc.subject | Stability neuro-fuzzy logic | en_US |
dc.subject | Supervisory control power system | en_US |
dc.title | Supervisory Power System Stability Control using Neuro-fuzzy system and particle swarm optimization algorithm | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/UPEC.2014.6934678 | - |
dc.relation.isPartOf | Proceedings of the Universities Power Engineering Conference | - |
dc.relation.isPartOf | Proceedings of the Universities Power Engineering Conference | - |
dc.relation.isPartOf | Proceedings of the Universities Power Engineering Conference | - |
dc.relation.isPartOf | Proceedings of the Universities Power Engineering Conference | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Energy Futures/Smart Power Networks | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
Appears in Collections: | Electronic and Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.docx | 282.32 kB | Unknown | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.