Load Flow Based Voltage Stability Indices for Voltage Stability and Contingency Analysis for Optimal Location of STATCOM in Distribution Network with Integrated Distributed Generation Unit

Alhamrouni, Ibrahim; Alif, Muhammad; Ismail, Bazilah; Salem, Mohamed; Jusoh, Awang; Sutikno, Tole

doi:10.12928/telkomnika.v16i5.10577

Cited by 12 publications

(9 citation statements)

References 17 publications

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“…The effect of a conventional PI controlled STATCOM and that of ANN controlled STATCOM are presented. The aim was to compare the efficiency of the PI and ANN controllers [24,25] a. STATCOM based on a conventional PI controller…”

Section: 12load Increase Case With Statcommentioning

confidence: 99%

Improvement of the performance of STATCOM in terms of voltage profile using ANN controller

Alatshan

Alhamrouni

Sutikno

et al. 2020

IJPEDS

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The electronic equipments are extremely sensitive to variation in electric supply. The increasing of a nonlinear system with several interconnected unpredicted and non-linear loads are causing some problems to the power system. The major problem facing the power system is power quality, controlling of reactive power and voltage drop. A static synchronous compensator (STATCOM) is an important device commonly used for compensation purposes, it can provide reactive support to a bus to compensate voltage level. In this paper, the Artificial Neural Network (ANN) controlled STATCOM has been designed to replace the conventional PI controller to enhance the STATCOM performance. The ANN controller is proposed due to its simple structure, adaptability, robustness, considering the power grid non linearities. The ANN is trained offline using data from the PI controller. The performance of STATCOM with case of Load increasing and three-phase faults case was analyzed using MATLAB/Simulink software on the IEEE 14-bus system. The comprehensive result of the PI and ANN controllers has demonstrated the effectiveness of the proposed ANN controller in enhancing the STATCOM performance for Voltage profile at different operating conditions. Furthermore, it has produced better results than the conventional PI controller.

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Section: 12load Increase Case With Statcommentioning

confidence: 99%

Improvement of the performance of STATCOM in terms of voltage profile using ANN controller

Alatshan

Alhamrouni

Sutikno

et al. 2020

IJPEDS

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“…In general, the conventional SVPWM implementation involves the following steps: Sector identification in which the instantaneous reference space vector lies, mapping this sector to an appropriate sector in the inner hexagon through coordinate transformations, determination of the inverter vector switching times, and selecting appropriate individual vectors using switching sequence tables [20,21]. Therefore, this section presents a simple and low-cost implementation of SVPWM technique in which the PWM switching times for the inverter legs are directly derived from the sampled amplitudes of the reference phase voltages.…”

Section: Svpwm Technique Signalmentioning

confidence: 99%

Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration

Almelian¹,

Mohd²,

Ahmad³

et al. 2019

IJECE

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This article presents a cascaded three-level voltage source converter (VSC) based STATCOM employing an artificial neuron network (ANN) controller with a new simple circuit of space vector pulse width modulation (SVPWM) technique. The main aim of utilizing ANN controller and SVPWM technique is to minimize response time (RT) of STATCOM and improve its performance regard to PF amplitude, and total harmonic distortion (THD) of VSC output current during the period of lagging/leading PF loads (inductive/capacitive loads). The performance of STATCOM is tested using MATLAB/SIMULINK in IEEE 3-bus system. The simulation results clearly proved that the STATCOM with intelligent controller is more efficient compared to a conventional controller (PI controller), where ANN enables the voltage and current to be in the same phase rapidly (during 1.5 cycles) with THD less than 5%.

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“…Both capacitor placement and reconfiguration were combined to reduce total loss [20]. In addition, static synchronous condenser (STATCOM) was also proposed to improve voltage profile of distribution systems [21]. In general, these proposed solutions could reduce loss and improve voltage; however, the cost of other components is much higher than capacitors.…”

Section: Introductionmentioning

confidence: 99%

Optimizing location and size of capacitors for power loss reduction in radial distribution networks

Nguyen¹,

Vinh²,

Nguyen³

et al. 2021

TELKOMNIKA

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Power radial distribution systems are increasingly more and more important in transmitting the electric energy from power plants to customers. However, total loss in lines are very high. This issue can be solved by allocating capacitor banks. Determining the suitable allocation and optimal sizing of capacitor banks needs an efficient approach. In this study, the diffusion and update techniques-based algorithm (DUTA) is proposed for such reason. The efficiency of DUTA is inspected on two distribution systems consisting of 15bus and 33-bus systems with different study cases. The solutions attained by DUTA are competed with recently published methods. As a consequence, the method is more effective than the other methods in terms of the quality of solution.

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Load Flow Based Voltage Stability Indices for Voltage Stability and Contingency Analysis for Optimal Location of STATCOM in Distribution Network with Integrated Distributed Generation Unit

Cited by 12 publications

References 17 publications

Improvement of the performance of STATCOM in terms of voltage profile using ANN controller

Improvement of the performance of STATCOM in terms of voltage profile using ANN controller

Enhancing the performance of cascaded three-level VSC STATCOM by ANN controller with SVPWM integegration

Optimizing location and size of capacitors for power loss reduction in radial distribution networks

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