Generalised neural network‐based control algorithm for DSTATCOM in distribution systems

Ahmad, Md. Tausif; Kumar, Narendra; Singh, Bhim

doi:10.1049/iet-pel.2016.0680

Cited by 23 publications

(14 citation statements)

References 25 publications

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“…Neural-networks is one of the new technology that is getting fashionable in the present era. ANN is a highly interconnected network of a large number of processing elements called neurons in an architecture inspired by the human brain [7,8]. In general, the structure of the neural network consists of several layers of neurons, an input layer, hidden layers, and output layer as given in Figure 7.…”

Section: Ann Controllermentioning

confidence: 99%

“…The performance of STATCOM is mainly depending on the accurately and speed error signals are compensated. Therefore, a control algorithm is the most important part of a STATCOM used for dynamic control of reactive power [7,8]. In general, the PI controller is widely used as a control unit of STATCOM device due to its simple and easy to implement.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, it provides fast dynamic response while maintaining the stability of the converter system over a wide operating range. Currently, various researchers have introduced in literature the improvement of STATCOM performance using ANN techniques [6,8,[13][14][15]. These studies are depending on sinusoidal-PWM (SPWM) technique for controlling switching gates of VSC, where SPWM is considered a conventional technology, which has been extensively used because it improves the voltage harmonic components to higher frequencies.…”

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confidence: 99%

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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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Section: Ann Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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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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“…Literatürde D-STATKOM için birçok denetleyici yöntemi önerilmiştir. Sinirsel bulanık denetleyici yapısı D-STATKOM'un eksen akımlarının denetimi için kullanılmıştır [9][10][11][12]. Ref.…”

Section: Introductionunclassified

Reaktif Güç Desteği için Kullanılan Üç Seviyeli H-Köprü Evirici Tabanlı D-STATKOM’un dq-Eksen Akımlarının Bulanık Oransal İntegral Denetleyici ile Denetimi

Açıkgöz

Çöteli

2019

Fırat Üniversitesi Mühendislik Bilimleri Dergisi

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Öz: Güç sistemlerinde gerilim kararlılığı ve reaktif güç kompanzasyonu en önemli problemlerden biridir. Geleneksel olarak gerilim kararlılığı ve reaktif güç kompanzasyonu için kondansatör veya endüktans grupları kullanılmaktadır. Son yıllarda, iletim ve dağıtım sistemlerinin reaktif güç kompanzasyonunda geleneksel kompanzatörlere göre cevap hızları daha iyi olan dönüştürücü tabanlı dağıtım kompanzatörleri kullanılmaktadırlar. Dağıtım Statik Senkron Kompanzatör (D-STATKOM), dağıtım sistemlerinde yaygın olarak kullanılan dönüştürücü tabanlı bir dağıtım kompanzatörüdür. Bu çalışmada, üç seviyeli Hköprü evirici tabanlı D-STATKOM'un dq-eksen akımları Bulanık Oransal + İntegral (Bulanık-PI) denetleticiyi ile denetlenmiştir. Bu amaçla, D-STATKOM'un deneysel düzeneği hazırlanmıştır. Deneysel çalışmalar için DS1103 denetleyici kart kullanılmıştır. Bulanık-PI akım denetimli D-STATKOM'un dinamik performansı bekleme durumundan kapasitif çalışma durumuna geçiş, bekleme durumundan endüktif çalışma durumuna geçiş, kapasitif çalışma durumundan endüktif çalışma durumuna geçiş ve son olarak endüktif çalışma durumundan kapasitif çalışma durumuna geçiş olmak üzere dört farklı çalışma şartı için test edilmiştir. Bu çalışma şartları altında Bulanık-PI akım denetimli D-STATKOM'un istenilen aktif (d-ekseni) ve reaktif (q-ekseni) akımı çok kısa sürede sağladığı, dq-eksen akım bileşenlerinde ve DA-hat gerilimlerinde sürekli durum hatasının olmadığı gözlemlenmiştir.Abstract: Voltage stability and reactive power compensation are one of the most important problems in power systems. Conventionally, capacitor or inductance groups are used for voltage stability and reactive power compensation. Recently, the converter based distribution compensators that have better response than conventional compensators have been used in reactive power compensation of transmission and distribution systems. Distribution Static Synchronous Compensator (D-STATCOM) is a widely used converter-based distribution compensator. In this study, dq-axis currents of the three-level H-bridge inverterbased D-STATCOM was controlled by Fuzzy Proportional + Integral (Fuzzy-PI) controller. For this purpose, the experimental setup of D-STATCOM was prepared. DS1103 controller card was used for experimental studies. The dynamic performance of Fuzzy-PI current controlled D-STATCOM was investigated for four different operating conditions, transition from standby to capacitive operating state, transition from standby to inductive operating state, transition from capacitive operation to inductive operating state and finally transition from inductive to capacitive operation state. Under these operating conditions, it was observed that Fuzzy-PI current controlled D-STATCOM provides the desired active (d-axis) and reactive (q-axis) current in a very short time, and there was no continuous state error in the dq-axis current components and as well as DC-line voltages.

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“…Recently, systems having semidefined and nonlinear structures and variation of parameters have been controlled by intelligent controllers such as fuzzy logic controllers (FLCs) or artificial neural networks (ANNs) [21]. In the literature, ANN-based control algorithms in [22][23][24] and FLC-based control algorithms in [25][26][27] were proposed. It is well known that there are some difficulties in the design of both controllers.…”

Section: Introductionmentioning

confidence: 99%

Real-time implementation of three-level inverter-based D-STATCOM using neuro-fuzzy controller

Çöteli¹,

Açıkgöz²,

Dandil³

et al. 2018

Turk J Elec Eng & Comp Sci

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A distribution static compensator (D-STATCOM) is a custom power device connected in parallel to a power system to address electric power quality problems caused by reactive power and harmonics. To obtain high performance from a D-STATCOM, the D-STATCOM's dq-axis currents must be controlled in an internal control loop. However, control of the D-STATCOM's currents is difficult because of its nonlinear structure, cross-coupling effect between the dand q-axis, undefined dynamics, and fast changing load. Therefore, the controller to be preferred for a D-STATCOM should have a nonlinear and robust structure. In this study, a neuro-fuzzy controller (NFC), which is a robust and nonlinear controller, is proposed for dq-axis current control of a D-STATCOM. A DSP-based experimental setup is built for real-time control. The basic building block of the experimental setup is a three-level cascaded inverter. This inverter is constructed by using three IPM intelligent modules. A DS1103 controller card is used for real-time control of the D-STATCOM's experimental setup. The control algorithm is prepared in MATLAB/Simulink software and loaded to the DS1103 controller card. The performance of the NFC current-controlled D-STATCOM is tested for different load conditions: no load to full inductive, no load to full capacitive, full inductive to full capacitive, and full capacitive to full inductive. For this aim, the reactive current setpoint is changed as a step. The experimental results are presented to show the efficiency of the proposed controller under different load conditions.

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Generalised neural network‐based control algorithm for DSTATCOM in distribution systems

Cited by 23 publications

References 25 publications

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

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

Reaktif Güç Desteği için Kullanılan Üç Seviyeli H-Köprü Evirici Tabanlı D-STATKOM’un dq-Eksen Akımlarının Bulanık Oransal İntegral Denetleyici ile Denetimi

Real-time implementation of three-level inverter-based D-STATCOM using neuro-fuzzy controller

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