Improvement of power quality of distribution system using ANN-LMBNN based D-STATCOM

Kumar, T. Anil; Rao, Lan

doi:10.1109/ipact.2017.8245211

Cited by 12 publications

(6 citation statements)

References 12 publications

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“…The compensating computer is controlled by a multi-layer back propagation in ANN [19]. The toolbox trains ANNs [20]. The Levenberg Marquardt (LM) Back propagation algorithm [21] supervises the ANN controller.…”

Section: A Mathematical Model For Voltage Injection By Dvrmentioning

confidence: 99%

Improvements in Voltage Profile of JDW Sugar Mills’ Jawar Distribution Feeder RYK Pakistan Using ANN Based Dynamic Voltage Restorer

Siddique,

Mujahid,

Aslam

et al. 2024

JESA

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Voltage-related power quality issues, including voltage sag, swell, and total harmonic distortion (THD), have become a significant concern in recent times. These issues, particularly harmonics, are known to degrade utility performance and lifespan, necessitating urgent rectification to ensure a high-quality power supply. This is crucial as our generation increasingly depends on electricity for enhanced living standards. Flexible AC transmission system (FACTS) devices are gaining considerable interest as effective solutions to these problems. Among these, the dynamic voltage restorer (DVR) is particularly noteworthy for its potential to reduce power quality disturbances in the distribution network. In this study, we developed a DVR based on an artificial neural network (ANN) controller. The activation function employed was Train LM for the input and hidden layers, and pure linear for the output layer, with the Levenberg Marquardt back propagation (LMBP) serving as the training algorithm. The designed model was then tested to tackle voltage-related power quality problems in the distribution network of Jamal Din Wala (JDW) sugar mills. The comprehensive model featured a three-phase voltage source inverter, a scheme utilizing rotating reference frame theory, and sine pulse width modulation (SPWM) for voltage sag and swell sensing along with insulated gate bipolar transistor (IGBT) switching. We analyzed three types of DVR output defects using MATLAB/Simulink and compared the results of the ANN controller with those of a conventional PI controller. The DVR output was modeled in MATLAB/Simulink for three types of defects and two degrees of voltage sag and swell. The results demonstrated that the DVR effectively mitigated voltage sags and swells in the JDW sugar mills distribution network. Furthermore, during the validation of the proposed ANN, a comparison of results with the conventional PI controller under balanced and unbalanced sags and swells showed a significant improvement. The ANN achieved a voltage restoration of up to 99.8% and a total harmonic distortion of 13.5%, a marked improvement over the PI controller, which achieved 97% voltage restoration and 19.5% total harmonic distortion, respectively.

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Section: A Mathematical Model For Voltage Injection By Dvrmentioning

confidence: 99%

Improvements in Voltage Profile of JDW Sugar Mills’ Jawar Distribution Feeder RYK Pakistan Using ANN Based Dynamic Voltage Restorer

Siddique,

Mujahid,

Aslam

et al. 2024

JESA

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“…Various CP devices are available to alleviate respective PQ difficulties, resulting in a distribution system that is sinusoidal in nature, stabilized fundamentally based, and linear in nature. The static synchronous compensators, distribution static compensator (DSTATCOM) [16], an active power filter (APF) [17], dynamic voltage restorer (DVR) [18], and unified power quality conditioner (UPQC) [19] are examples of prominent CP devices. The UPQC is the most influential compensatory device for resolving both current-voltage-related PQ difficulties, according to the literature.…”

Section: Introductionmentioning

confidence: 99%

A novel solar PV integrated fuzzy-logic controlled UAPQC device for power quality enhancement

Rao,

Sharma,

Shankar

et al. 2024

IJAAS

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<span>A novel solar photovoltaics (PV) connected unified active power quality conditioner (UAPQC) device is extensively adopted for enhancing the voltage and current quality of the distribution system. In a three-phase distribution system, the proposed UAPQC mitigates both load-side and source-side allied power quality (PQ) issues. Furthermore, as part of the distributed generation (DG) system, active electricity from solar PV is injected into the grid or source when solar PV is available. In this regard, the proposed UAPQC has been operated by using a workable control method, in both PQ improvement mode and DG incorporation mode. The direct current-link (DC-link) control of the shunt <a name="_Hlk153348468"></a>voltage source inverter (VSI) utilizes the proportional-integral controller, which is not suited for the regulation of DC-link voltage at the desired level because of improper selection of gain values. In this work, an intelligent fuzzy-logic DC-link control of UAPQC evidences the intelligent knowledge base for better regulation of power-quality issues. The suggested fuzzy-logic controlled UAPQC device's performance for both PQ improvement and integration of DG is validated using the MATLAB/Simulink computing tool, and simulation findings are given with an appealing comparison analysis.</span>

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“…In these studies, the parameters of PI controller were tuned using the mathematical model, meaning that the structure of PI is fixed. Thus, the best possible performance from a STATCOM might not be obtained from designed controllers for different operating points [17,18]. This raises a need for the development of new controllers with more improved performance.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have proposed the application of ANN-based control of STATCOM in power system distribution [17][18][19][20]. Most of the literatures have used sinusoidal PWM (SPWM) technique to control VSC switches.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of cascaded multi-level VSC STATCOM performance using ANN in the presence of faults

Almelian¹,

Mohd²,

Ahmad³

et al. 2020

IJPEDS

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A system can be disturbed in terms of stability when connected to a number of loads at the distribution ends or when subjected to faults. To reverse such systems to a stable state, FACTS devices such as static synchronous compensator (STATCOM) are used. In this paper, a cascaded multi-level voltage source converter (VSC) STATCOM was designed and implemented with a novel space vector pulse width modulation (SVPWM) scheme. Artificial neural network (ANN) controller was used instead of instead of Proportional-Integral (PI) controller in the proposed scheme to improve the response time (RT) and performance of STATCOM in terms of power factor (PF) and voltage amplitude during periods of voltage sag. During the implementation, two fault sources (single-line-to-ground (SLG) and line-to- line (LL) faults) were used to create voltage sag. STATCOM was subjected to performance evaluation in the presence of these disturbances via MATLAB simulation in IEEE 3-bus system. The outcome of the simulation studies showed the ANN controller to perform better than PI as it was able to rapidly recover voltage value (<1 cycle) with unity PF.

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Improvement of power quality of distribution system using ANN-LMBNN based D-STATCOM

Cited by 12 publications

References 12 publications

Improvements in Voltage Profile of JDW Sugar Mills’ Jawar Distribution Feeder RYK Pakistan Using ANN Based Dynamic Voltage Restorer

Improvements in Voltage Profile of JDW Sugar Mills’ Jawar Distribution Feeder RYK Pakistan Using ANN Based Dynamic Voltage Restorer

A novel solar PV integrated fuzzy-logic controlled UAPQC device for power quality enhancement

Enhancement of cascaded multi-level VSC STATCOM performance using ANN in the presence of faults

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