Power flow analysis in a distributed network for a smart grid system

	Power flow analysis in a distributed network for a smart grid system
	by Thangavel Jothi, Manoharan Arun, Murugesan Varadarajan
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	This article presents the implementation of a hybrid
	renewable energy-based
	smart grid in a distributed system. Photovoltaic (PV) and
	wind generation are
	variable and time-dependent, yet they are very efficient
	and correlated,
	making them perfect for a two-source hybrid system. To
	maximize the
	generated power, using the maximum power point tracker
	(MPPT) technique,
	the incremental conductance (IC) algorithm is employed.
	The proportional
	integral (PI)-based MPPT controller is chosen to improve
	the efficiency of
	conventional MPPT controllers. A battery system is
	implemented as an energy
	management system (EMS) to aid in transferring or
	managing the high load
	throughout peak and off-peak hours. The proposed system
	uses an
	optimization technique called genetic algorithm (GA) to
	control the inverter
	voltage. The GA-tuned PI controller performs efficiently
	and has less
	harmonic distortion than the traditional sinusoidal pulse
	width modulation
	(SPWM) control method. The designed system uses real-time
	measurable
	parameters as inputs and is simulated in Matlabtool. The
	system generates
	42 kW of solar power and 250 kW of wind power; the total
	harmonic
	distortion (THD) value is 5% less than the SPWM
	technique. For future work,
	flexible alternating current transmission system (FACTS)
	devices can
	improve the power quality and lower the oscillations.

	Date Published: 2025-01-03 02:50:29
	Identifier: 10.11591ijeecs.v33.i1.pp42-52
	Item Size: 8494911
	Language: eng
	Media Type: texts

	# Topics
	Genetic algorithm; IC method; MPPT te...

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