000 03913ntm a2200373 i 4500
001 vtls000105338
003 KUKTEM
005 20251117113407.0
008 180928t20182018my da f am 000 0 eng d
020 _aTHE0005192(Local)
039 9 _a201905141440
_bhanafiah
_c201809281042
_dsaini
_y201809281025
_zsaini
040 _aUMP
_beng
_cUMP
_erda
090 _aFKEE .M34 2018 r Thesis
100 1 _aMahdi, Mazin Mustafa,
_eauthor.
245 1 0 _aLoad frequency control using adaptive and fuzzy based controller for hybrid micro-grid system /
_cMazin Mustafa Mahdi
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axvii, 175 pages :
_billustrations (some color), charts ;
_c30 cm. +
_e1 CD ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Electrical and Electronics Engineering
502 _aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aA hybrid micro-grid is a subset and becomes vital in the modern power grid, which is using inertia and non-inertia Distributed Generations (DGs) to supply power to communities in the small-scale area rather than vast regions. A micro-grid can operate in synchronous with the grid utility or as islanding; it is a useful method of achieving network expansion but have some issues. The transfer mode from the local main grid to islanding mode faces many challenges, related to significant load changes suddenly and the loss of the main electricity grid. When the micro-grid is disconnected, and in islanded mode, the active and reactive power needs to be controlled by the DG units. This research report includes an analysis of Load Frequency Control (LFC) for control of a hybrid micro-grid connected to the grid, and when operating in islanded mode. The benefit of this method of control is to correct frequency deviations during conditions of islanded operation as the DG would continually inject power at the desired level. The micro-grid control strategies investigated in this work included an analysis of the transient response of the frequency deviation and power sharing in both grid-connected and islanded modes of micro-grid operation. The adaptive PI controller is utilized by applying a Model Reference Adaptive Control (MRAC) based MIT rule for a smooth transfer micro-grid from the local main grid to the islanded mode for avoiding high-frequency deviations. Then, an Artificial Neural Network (ANN) controller is used to update the output of MRAC and to enhance micro-grid operation performance. From the simulation studies, it is clear that MRAC-ANN based controller can effectively damp out the oscillations and reduce the settling time. The Fuzzy Logic Table Control (FLTC) is employed in LFC at islanded micro-grid system to regulate the system‗s frequency, and provides desirable performance against sudden load changes and fault disturbances, improving the frequency deviation and output power variation. For verification, all the analyses are compared with conventional PI controller and the results show the proposed controller outperform the conventional PI controller in promising response. The proposed controller can classify simple and easy to implement. Therefore, these proposed controllers of LFC can contribute to the expanding the energy utilization into the micro-grid environment.
610 2 0 _aFaculty of Electrical and Electronics Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7889
_d7895
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