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Enhanced dynamic performance of grid feeding distributed generation under variable grid inductance Salman Harasis; Saher Albatran; Eyad Almaita; Khaled Alzaareer; Qusay Salem; Mamdouh Alghaythi; Mohammad Arifur Rahman
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1113-1122

Abstract

Controlling weak grid-connected systems is very challenging. In transient, frequency and voltage oscillations may lead to voltage and/or frequency stability problems and finally lead to system collapse. During steady-state operation and at the point of common coupling (PCC), voltage degradation and grid voltage background harmonics restrict the inverter's functionality, reduce the power flow capability and cause poor power quality. With weak grid connection, grid impedance variance will contaminate the voltage waveform by harmonics and augment the resonance, destabilizing the inverter operation. In this paper, complete mathematical modeling is carried out and state feedback-plus-integral control is implemented to support the stabilization of the system. The proposed controller is adopted to provide a smooth transient under sudden load change by controlling the injected grid current under different grid inductance values. Furthermore, the proposed control is used to reduce the order and size of the inverter output filter while maintaining system stability. The proposed control has been compared with the conventional proportional integral (PI) controller under different scenarios to validate its effectiveness and to strengthen its implementation as a simple controller for distributed generator applications.
A performance comparison of series power flow control structures in a smart microgrid Qusay Salem; Khaled Alzaareer; Salman Harasis
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp908-917

Abstract

This paper investigates the performance of various power control structures on a series power flow controller comprised as transformerless H-bridge inverter under different operating conditions. This power flow controller connects the main grid with the microgrid as it is seriesly attached with the distribution line. Three different control strategies are implemented to regulate the power flow at the interface point using the series power flow controller. The feasibility of the regulation approaches is verified by varying the modulation index and the reference DC-link voltage during different operation modes. Also, the performance of the control strategies is verified under load divergence condition during two different operation modes. The results showed the efficacy of the developed regulation methods in injecting series voltage at point of common coupling (PCC) either during the capacitive or the inductive operation mode. Also, the obtained results reveal the stability and reliability of the regulation methods and the microgrid operation when either the reference DC-link voltage or the modulation index are increased.
Optimal proportional-integral speed control for closed-loop engine timing system Saher Albatran; Salman Harasis
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp128-133

Abstract

In internal combustion engines, adjusting the air-fuel ratio is essential to control the speed and minimize the burnt fuel. The throttle opening is the actuator to control the air-fuel. A better design for the used/conventional controller can give a better response without additional cost. In this work, the proposed controller gains of the proportional-integral (PI) controller are tuned to enhance the speed in constant and variable drive cycle modes. The tuning process is conducted based on two of the most efficient performance indices used in this field. The performance indices are integral absolute error (IAE) and integral time absolute error (ITAE). The optimization problem is solved using three reliable stochastic optimization algorithms to ensure mature convergence of the solutions, to avoid local optima solutions, and to ensure effective shrinking of the search space. The optimization algorithms are teaching-learning-based optimization (TLBO), particle swarm optimization (PSO), and genetic algorithm (GA). Different simulations are conducted to validate the results. The results are compared with conventional tuning methods regarding the system's time response.