Smart Control of UPCQ within Microgrid Energy System

Benachaiba, Chellali; Haidar, Ahmed M. A.; Habab, M.; Abdelkhalek, Othmane

doi:10.1016/j.egypro.2011.05.058

Cited by 24 publications

(10 citation statements)

References 2 publications

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“…However, the proposed UPQC is based on a simpler fuzzy control. Table 6 gives a comparative study between the literature's P-Q UPQC [19], the literature's fuzzy controlled UPQC [20,21], and the proposed fuzzy UPQC in this work.…”

Section: Compared To the Conventional Upqc Control Methodsmentioning

confidence: 99%

Power quality improvement of smart microgrids using EMS-based fuzzy controlled UPQC

Hossam-Eldin¹,

Mansour²,

Elgamal³

et al. 2019

Turk J Elec Eng & Comp Sci

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The prevalent power quality problems in smart microgrids and power distribution systems are voltage sag, voltage swell, and harmonic distortion. The achievement of pure sinusoidal waveform with proper magnitude and phase is currently a great research and development concern. The aim of this paper is to evaluate and mitigate the smart microgrid harmonics, voltage sag, and voltage swell throughout a 24-h cycle, taking into consideration the variation in solar power generation due to changes in irradiation received by photovoltaic cells, the variation in wind power generation due to changes in wind speed, and the variation of linear and nonlinear load profiles during the day’s cycle. The mitigation of the power quality issues manifested in current harmonics, voltage sag, and voltage swell is achieved through the implementation of a new fully fuzzy controlled unified power quality conditioner (UPQC). It is controlled by an energy management system (EMS). This paper introduces a new control system for the UPQC using full fuzzy logic control. Moreover, fuzzy control is used in current control instead of proportional integral controllers so that it has acceptable performance over a wide range of operating points. The novel approach of an EMS-connected UPQC activates the UPQC at the required time only into the grid. This approach has many benefits by increasing the UPQC lifetime. The effect of the proposed system on the aforementioned issues has been validated through simulation by MATLAB/Simulink. The results are compared with those obtained by conventional methods. The results verify the superior performance of the proposed UPQC to mitigate the problems of current total harmonic distortions, voltage sag, and voltage swell under different operating conditions during the monitoring period.

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Section: Compared To the Conventional Upqc Control Methodsmentioning

confidence: 99%

Power quality improvement of smart microgrids using EMS-based fuzzy controlled UPQC

Hossam-Eldin¹,

Mansour²,

Elgamal³

et al. 2019

Turk J Elec Eng & Comp Sci

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“…The main disadvantage of parallel inverter operation is that the change occurred in voltage and reactive power regarding the load deviation. One of the recent methods to cope with this issue is proposed in [76] where the control scheme is based on droop control to govern the active power share of parallel inverters in DG units. In the proposed method, the reactive power of each inverter could be adjusted to an exact value owing to reactive power generation capacity of the DG units in the microgrid.…”

Section: Dc-ac Converter Control In Smart Gridmentioning

confidence: 99%

“…The smart grid studies should consider the transportation utilities such as electrical vehicles (EV) and plug-in hybrid electric vehicles (PHEV) that are integrated to utility grid regarding to the recent advances. The increased integration of EVs to the utility grid causes several compensation problems which should be handled by similar control loops managed by MGCC and LC systems [18,[75][76][77][78]80]. One of the recent proposals for power control is related to resonant and isolated converters that focus on decreasing the voltage stresses on the switching devices either in inverters or in converters [57].…”

Section: Power Control In Smart Gridmentioning

confidence: 99%

“…It is noted in [69] that the latest Tsukuba Express has PWM switched IGBT inverters in its substations wherein the DC-line voltage generated during breaking is converted to AC. Although the hard switching voltage source inverter (VSI) based on sinusoidal PWM (SPWM) or space vector PWM (SVM) is a very old technology, recent multilevel inverters (MLI) present a wide application area in medium and high voltage market promoting the multi-MW wind turbines and individual generators [68,76]. The initial studies of MLIs are based on three-level hard-switching inverter.…”

Section: Dc-ac Converter Control In Smart Gridmentioning

confidence: 99%

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A survey on the contributions of power electronics to smart grid systems

Çolak

Kabalcı

Fulli

et al. 2015

Renewable and Sustainable Energy Reviews

130

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“…In another attempt [ 14 ], the authors propose the application of fuzzy logic (FL) technique within microgrid energy system based on the most modern power conditioning equipment devices such as Unified Power Quality Conditioner (UPQC). Similarly [ 15 , 16 ], a linear quadratic regulator (LQR) control technique embedded with the ANN is used to coordinate the operation of the series and shunt VSIs of the UPQC. In another development a control algorithm based on wavelet transform for UPQC to suppress current harmonics and voltage sags is proposed [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

MATLAB Simulation of UPQC for Power Quality Mitigation Using an Ant Colony Based Fuzzy Control Technique

Kumarasabapathy

Manoharan

2015

The Scientific World Journal

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This paper proposes a fuzzy logic based new control scheme for the Unified Power Quality Conditioner (UPQC) for minimizing the voltage sag and total harmonic distortion in the distribution system consequently to improve the power quality. UPQC is a recent power electronic module which guarantees better power quality mitigation as it has both series-active and shunt-active power filters (APFs). The fuzzy logic controller has recently attracted a great deal of attention and possesses conceptually the quality of the simplicity by tackling complex systems with vagueness and ambiguity. In this research, the fuzzy logic controller is utilized for the generation of reference signal controlling the UPQC. To enable this, a systematic approach for creating the fuzzy membership functions is carried out by using an ant colony optimization technique for optimal fuzzy logic control. An exhaustive simulation study using the MATLAB/Simulink is carried out to investigate and demonstrate the performance of the proposed fuzzy logic controller and the simulation results are compared with the PI controller in terms of its performance in improving the power quality by minimizing the voltage sag and total harmonic distortion.

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Smart Control of UPCQ within Microgrid Energy System

Cited by 24 publications

References 2 publications

Power quality improvement of smart microgrids using EMS-based fuzzy controlled UPQC

Power quality improvement of smart microgrids using EMS-based fuzzy controlled UPQC

A survey on the contributions of power electronics to smart grid systems

MATLAB Simulation of UPQC for Power Quality Mitigation Using an Ant Colony Based Fuzzy Control Technique

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