VGB POWERTECH 10 (2019)

VGB PowerTech 10 l 2019
Analysis of a grid integrated wind energy conversion system
Analysis of a grid integrated wind
energy conversion system –
adaptive moth flame optimization
with ANN technique
P. Sebastian Vindro Jude and R. Mahalakshmi
Kurzfassung
Analyse eines netzintegrierten
Windenergieumwandlungssystems –
Anwendung der Adaptive Moth Flame
Optimization
Mit Windkraftanlagen (WECS) wird Windenergie
in Strom umgewandelt und in das
Stromnetz eingespeist. Infolge der Einspeisung
des Stroms in das Netz kann es zu vielfältigen
Herausforderungen für Netz und Einspeiser
kommen. Hier ist für die Umrichtung eine geeignete
Steuerung erforderlich, um das Netz
nicht zu belasten und die Aufrechterhaltung der
Netzfrequenz zu gewährleisten. In dieser Arbeit
wird ein adaptives Verfahren vorgeschlagen,
um die Netzintegration von Windenergieanlagen
umzusetzen. Das adaptive Verfahren ist
eine Kombination aus Moth Flame Optimization
(MFO) Algorithmus und Artificial Neural
Network (ANN) Verfahren.
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Authors
Dr. P. Sebastian Vindro Jude
Professor Dr. R. Mahalakshmi
Department of Electrical Electronics
Engineering
Coimbatore, India
Wind Energy Conversion Systems (WECS)
are used to convert wind power and feed
them into the electricity grid. According to
the feed-in of WECS into grid, the foremost
power quality conflict is diverse in power
and harmonic. Here, the grid side converter
requires proper control to sustain the
grid organization and to maintain Total
Harmonic Distortion (THD) in equipped
boundaries. In this document, the adaptive
procedure is proposed to develop the presentation
of the grid integrated WECS. The
adaptive procedure is the mixture of Moth
Flame Optimization (MFO) Algorithm and
Artificial Neural Network (ANN) procedure.
The proposed adaptive process is exploited
to examine the dc link voltage and
the grid side presentation. At this point, a
cascaded H-bridge Multilevel Inverter
(MLI) is proposed to examine the grid side
deviation and maintain the active presentation
of the system. The proposed adaptive
MFO-ANN procedure is enhanced for
the finest pulses of cascaded H-bridge MLI
and voltage, power regulation is accomplished.
The foremost requirement of finest
switching function is to evade the complication
of the fault voltage group. The MFO
algorithm is exploited to optimize the expand
limitation of PID regulator in the
regulator division. Afterward, ANN is employed
by means of the optimized expand
values. Here, the finest control pulse is engendered
to augment the presentation of
grid incorporated power system. The proposed
adaptive MFO among ANN procedure
is executed in the working platform of
MATLAB/Simulink and the output presentation
is investigated. Here, the anticipated
method is distinct by the obtainable procedures
like MFO and Firefly Algorithm (FA)-
ANN procedure for to estimate the presentation
of proposed process.
Keywords: Cascaded H-bridge multilevel
inverter, WECS, grid, MFO, ANN, FA and
voltage regulation
Introduction
Nowadays, the world is searching the substitute
of fossil fuels and WECSs for a hygienic
and cheap energy society which is
illustrate the consideration as clean electricity
basis [1-3]. Wind energy is the best
rising renewable energy resources which
maintain to grow every year in numerous
countries [4]. In recent times, the Permanent
Magnet Synchronous Generator
(PMSG) is established a lot concentration
in wind-energy purpose. In the rotor of the
PMSG, The permanent magnet is providing
magnetizing current redundantly. According
to the nonexistence of the magnetizing
current, the PMSG is operating for the
identical output at a privileged power feature.
Therefore, it is extra competent than
further machines. Moreover, the multipole
PMSG is improving the dependability
of the variable speed wind turbine through
a direct-drive train system rather than the
gearbox, which also consequences in inexpensive
[5-7].
Currently, variable speed Wind Turbine
Generator System (WTGS) is trendier than
fixed speed [8]. Generally, generators are
considered as fixed speed wind generator
by their advanced uniqueness like brushless
and rough production, inexpensive,
preservation free, and ease of process. Suppose,
if a short circuit error is taking place
in the power system, then it entails great
reactive power to recuperate the air gap
flux [9-11]. If not, the induction generator
turns out to be unsteady by reason of the
great dissimilarity among electromagnetic
and mechanical torques. Afterward, it necessities
detached from the power system.
A power failure of large wind farm encompasses
a grave consequence on the power
system function [12]. A wind farm includes
numerous wind generators which related
to the communication system in the course
of a solitary bus [13]. Some of the significant
scientific necessities for wind farms
are considered by several grid codes like
active and reactive power regulation, voltage
and frequency working restrictions and
wind farm activities for the period of grid
disturbances.
Some of the significant scientific necessities
for wind farms are considered by several
grid codes like active and reactive
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