Embedded Electrical Network Advance Controlling Based on SVC Device and Automatic Voltage Regulator

Benmahdjoub, Mohammed Amine; Mezouar, Abdelkader; Boumediene, Larbi; Saidi, Youcef

doi:10.1007/s40313-019-00550-2

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…( 7), as follows: The switching mode will be used to select PI or adaptive fuzzy controllers, as shown in the Fig. 4. In fact, the two controllers adjust the generator torques by keeping the speed of generators at its reference.…”

Section: Wind Turbine Controlmentioning

confidence: 99%

“…The groundwater located in the isolated zones requires electrical power to pump it to storage tanks [1][2][3]. In this case, the parallel connection of alternators driven by a diesel motor or small gas-turbine engine can be used to produce the electricity required by water pumps [4,5]. However, this kind of electrical network can increase emissions of carbon dioxide and polluting gases in the air [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

Benmahdjoub

Mezouar

Ibrahim

et al. 2023

Int. J. Dynam. Control

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The present paper aims to improve the effectiveness of an isolated water pumping system based on parallel wind turbine powertrains by using a nonlinear Integral Backstepping Controller (IBSC). In fact, the powertrain system with parallel Permanent Magnet Synchronous Generators (PMSG) is used to ensure the continuity of the power conversion system and to optimize the efficiency of generators. A three-phase PWM rectifier is implemented in the power system to convert the AC voltage obtained from parallel PMSG generators to a DC voltage. In fact, the regulated DC voltage will be supplied to a DC motor-driven water pump to control the tank level in the wind turbine pumping system. In this paper, the effective wind speed of a wind turbine is estimated by using an Extended Kalman Filter (EKF) instead of using anemometers. In addition, the Tip Tip Speed Ratio (TSR) method based on an Adaptive Fuzzy Logic Controller (AFLC) is performed to apply the Maximum Power Point Tracking (MPPT) algorithm for maximum power extraction from the available energy in the wind. Moreover, the Voltage Oriented Control (VOC) strategy is handled to control the currents of the three-phase rectifier. To evaluate the efficiency of the EKF estimator, the covariance and correlation coefficient between the estimated and measured wind speed are computed for each s 1 , while the AFLC and nonlinear IBSC controllers are evaluated by comparing their results with those obtained by the PI controller. For the wind speed estimation, the covariance and correlation coefficient results demonstrate that the EKF estimator has high accuracy with a 98% similarity between the estimated and measured wind speed. For the power extraction, the TSR based on adaptive FLC controller can extract slightly more wind energy than the PI controller. For tank level control, the nonlinear IBSC controller improves the efficiency of the wind turbine water pumping system by reducing the DC voltage surge and the overshoot of water level obtained by PI controller.

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Section: Wind Turbine Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

Benmahdjoub

Mezouar

Ibrahim

et al. 2023

Int. J. Dynam. Control

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Voltage Profile Improvement of IEEE14 Bus System Using SVC and STATCOM

Moufid¹,

En-nay²,

Naciri³

et al. 2023

Lecture Notes in Networks and Systems

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Dynamic voltage stability for embedded electrical networks in marine vessels using FACTS devices

Benmahdjoub

Mezouar

Bossche

et al. 2021

Int. J. Dynam. Control

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Sophisticated techniques are required for getting accuracy in high frequency power losses of magnetic. This paper presents a high frequency power loss measurement platform (full bridge) that provides accurate assessing of losses in magnetic components. This is obtained by a construction of a thermal shunt with radiator to measure the losses of the bridge. An aluminum strip is used as a "thermal resistor". Two NTC resistors measure the temperature drop across the aluminum strip. The magnetic device loss equals the DC input power of the platform minus the bridge loss. The copper loss can be estimated while using litz wire. Using litz wire windings with sufficiently low diameter of the strands allows neglecting eddy current losses, thus measuring only DC resistance is enough for calculating of copper losses. It can be checked by an RLC meter if the assumption is reasonable. The proposed approach and platform are verified by realization and experiments with a full bridge converter based on SiC switches and operating in frequency range of 50 kHz to 1 MHz. The proposed platform can be used for obtaining the frequency dependence of core losses of magnetic materials, as well as the dependence on duty ratio of the power converter.

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Embedded Electrical Network Advance Controlling Based on SVC Device and Automatic Voltage Regulator

Cited by 3 publications

References 24 publications

Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter

Voltage Profile Improvement of IEEE14 Bus System Using SVC and STATCOM

Dynamic voltage stability for embedded electrical networks in marine vessels using FACTS devices

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