The document discusses two types of fuzzy inference systems - Mamdani-type and Sugeno-type - that can be used to control a Dynamic Voltage Restorer (DVR) to mitigate voltage sags. It outlines the basic differences between the two systems, including that Mamdani-type FIS has output membership functions while Sugeno-type FIS does not. Both systems were simulated in MATLAB with two inputs (error and change in error) and one output to evaluate their performance in compensating voltage sags.
Analysis of Total Harmonic Distortion (THD) Level of Distribution Network Usi...IJERA Editor
The modern sensitive, Non-linear and sophisticated load affects the power quality. Dynamic Voltage Restorer (DVR) provides the fast, flexible and efficient solution to improve the power quality for such distribution network [8]. The active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operations are the major source of affecting power quality. The intent of this paper is to demonstrate the improvements obtained with DVR in power system network using MATLAB/SIMULINK. In this paper, an overview of the DVR, its functions, configurations, components, control strategies are reviewed. The Simulation results are presented to illustrate the performance of DVR in Total Harmonic Distortion (THD). The results showed clearly the performance of using DVR in improving THD level.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and DevelopmentIJERD Editor
• Electrical, Electronics and Computer Engineering,
• Information Engineering and Technology,
• Mechanical, Industrial and Manufacturing Engineering,
• Automation and Mechatronics Engineering,
• Material and Chemical Engineering,
• Civil and Architecture Engineering,
• Biotechnology and Bio Engineering,
• Environmental Engineering,
• Petroleum and Mining Engineering,
• Marine and Agriculture engineering,
• Aerospace Engineering.
Analysis of Total Harmonic Distortion (THD) Level of Distribution Network Usi...IJERA Editor
The modern sensitive, Non-linear and sophisticated load affects the power quality. Dynamic Voltage Restorer (DVR) provides the fast, flexible and efficient solution to improve the power quality for such distribution network [8]. The active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operations are the major source of affecting power quality. The intent of this paper is to demonstrate the improvements obtained with DVR in power system network using MATLAB/SIMULINK. In this paper, an overview of the DVR, its functions, configurations, components, control strategies are reviewed. The Simulation results are presented to illustrate the performance of DVR in Total Harmonic Distortion (THD). The results showed clearly the performance of using DVR in improving THD level.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and DevelopmentIJERD Editor
• Electrical, Electronics and Computer Engineering,
• Information Engineering and Technology,
• Mechanical, Industrial and Manufacturing Engineering,
• Automation and Mechatronics Engineering,
• Material and Chemical Engineering,
• Civil and Architecture Engineering,
• Biotechnology and Bio Engineering,
• Environmental Engineering,
• Petroleum and Mining Engineering,
• Marine and Agriculture engineering,
• Aerospace Engineering.
Compensation of Single-Phase and Three-Phase Voltage Sag and Swell Using Dyna...IJAPEJOURNAL
DVR is a equipment which was connected in series and adjusting the loading voltage by feeding the voltage in system. The first installation was in 1996. usually DVR installed between sensitive loads feeder and source in distribution system .The main duty, fast support load voltage (by fast detection algorithm) during disturbance to avoid any disconnection. in this paper approaches to compensate for voltage sag and swell as a common disturbance in voltage transmission and distribution networks is presented. A dynamic voltage restorer based on the dq0 algorithm for three-phase and dynamic voltage restorer based on the average detection method for single-phase are discussed, also in this paper we compare the two methods used to compensate the single-phase and three-phase process. result of three-phase and single-phase voltage sag and swell simulation has been presented by MATLAB/SIMULINK.
Voltage sag mitigation using supercapacitor based dynamic voltage restorereSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Sag mitigation in distribution system by using Dynamic voltage Restorer (DVR)IJERA Editor
Power quality is most important concern in the current age. It’s now a day’s necessary with the refined devices, where performance is very perceptive to the quality of power supply. Power quality crisis is an incidence manifest as a typical voltage, current or frequency that results in a failure of end use equipments. One of the major crises dealt here is the power sag. Perceptive industrial loads and distribution networks suffer from different types of service interruptions and outages which results in a major financial loss. To improve the power quality, custom power-devices are used. The device considered in this work is Dynamic Voltage Restorer. This paper shows modelling, analysis and simulation of a DVR test systems using MATLAB.
I have considered single line to ground fault for linear load. The role of DVR is to “compensate load voltage” is examined during the different fault conditions like voltage sag, single phase to ground faults.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...ijeei-iaes
Consumer utilities are non –linear in nature. This injects increased flow of current and reduced voltage with distortions which cause adverse effect on the stability of consumer utilities. To overcome this problem we are using a modern Flexible Alternating Current Transmission System controller i.e. distributed power flow controller (DPFC). This controller is similar to UPFC, which can be installed in a transmission line between the two electrical areas. In DPFC, instead of the common Dc link capacitor three single phase converters are used. In this paper we are concentrating on system stability (oscillation damping). For analyzing the stability of a single machine infinite bus system (SMIB) we have used PI controlled Distributed Power Flow Controller (DPFC) and Fuzzy controlled DPFC. All these models are simulated using MATLAB/SIMULINK. Simulation results shows Fuzzy controlled DPFC are better than PI controlled DPFC. The significance of the results are better stability and constant power supply.
Utilization of DVR with FLC to Inject Voltage in a Transmission LineIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Low voltage ride through control of modular multilevel converter based hvdc s...Ghazal Falahi
Low Voltage Ride Through (LVRT) is an important grid requirement for Voltage Source Converter (VSC) based HVDC links. This paper studies the performance of the modular multilevel converter (MMC) VSC based HVDC systems during faults or voltage dips and proposes a new control strategy to improve the LVRT performance. The proposed algorithm controls the system to generate the required active and reactive powers that are calculated mathematically based on the ratings of the MMC-HVDC system and LVRT requirements. The injected active and reactive power values obey the LVRT guidelines and are adaptable to different grid codes. The mathematical calculations are presented and EMTDC/PSCAD simulation evaluates the performance of the proposed method.
Voltage Sag and Swell Identification Using FFT Analysis and Mitigation with DVRIOSRJEEE
- Power quality issues like voltage sag, swell, harmonics and transients can affect the power system performance. Voltage sag and swell are now-a-days treated to reduce power quality issues by power engineers. A small variation in voltage can badly affect the operation of power system and connected loads as well. This paper presents the voltage sag and voltage swell identification using FFT analysis. The paper also presents the mitigation for identified voltage sag and swells issues addressed with DVR. DVR consists of a voltage source converter and is controlled with d-q theory which is simple producing reference signals and gate pulses for switches of DVR. The proposed concept was simulated using MATLAB/SIMULINK software and results were presented for identification and mitigation. FFT analyses for identification of voltage sags and swell existence in different phases of power system network were shown. Mitigation of voltage sag and swell with DVR was also shown with results
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVRIJERD Editor
Power quality has been an issue that is becoming increasingly pivotal in industrial electricity
consumers point of view in recent times. Modern industries employ Sensitive power electronic equipments,
control devices and non-linear loads as part of automated processes to increase energy efficiency and
productivity. Voltage disturbances are the most common power quality problem due to this the use of a large
numbers of sophisticated and sensitive electronic equipment in industrial systems is increased. This paper
discusses the design and simulation of dynamic voltage restorer for improvement of power quality and
reduce the harmonics distortion of sensitive loads. Power quality problem is occurring at non-standard
voltage, current and frequency. Electronic devices are very sensitive loads. In power system voltage sag,
swell, flicker and harmonics are some of the problem to the sensitive load. The compensation capability
of a DVR depends primarily on the maximum voltage injection ability and the amount of stored
energy available within the restorer. This device is connected in series with the distribution feeder at
medium voltage. A fuzzy logic control is used to produce the gate pulses for control circuit of DVR and the
circuit is simulated by using MATLAB/SIMULINK software.
Characteristics Analysis of Voltage Sag in Distribution System using RMS Volt...IDES Editor
Voltage sags caused by the short-circuit faults in
transmission and distribution lines have become one of the
most important power quality problems facing industrial
customers and utilities. Voltage sags are normally described
by characteristics of both magnitude and duration, but phaseangle
jump should be taken into account in identifying sag
phenomena and finding their solutions. In this paper, voltage
sags due to power system faults such as three-phase-to-ground,
single phase-to-ground, phase-to-phase, and two-phase-toground
faults are characterized by using symmetrical
component analysis and their effect on the magnitude
variation and phase-angle jumps for each phase are examined.
A simple and practical method is proposed for voltage sag
detection, by calculating RMS voltage over a window of one
cycle and one-half cycle. The industrial distribution system
at Bajaj hospital is taken as a case study. Simulation studies
have been performed by suing MATLAB/SIMULINK and the
results are presented at various magnitudes, duration and
phase-angle jumps.
VOLTAGE SAG AND SWELL ALLEVIATION IN DISTRIBUTION NETWORK USING CUSTOM POWER...Gaddafi Sani
IEEE-Pemc 2014 conference: VOLTAGE SAG AND SWELL ALLEVIATION IN DISTRIBUTION NETWORK USING CUSTOM POWER DEVICES; D-STATCOM AND DVR. by Abdullahi Kunya, T. Yalcinoz, Gaddafi Shehu
Compensation of Single-Phase and Three-Phase Voltage Sag and Swell Using Dyna...IJAPEJOURNAL
DVR is a equipment which was connected in series and adjusting the loading voltage by feeding the voltage in system. The first installation was in 1996. usually DVR installed between sensitive loads feeder and source in distribution system .The main duty, fast support load voltage (by fast detection algorithm) during disturbance to avoid any disconnection. in this paper approaches to compensate for voltage sag and swell as a common disturbance in voltage transmission and distribution networks is presented. A dynamic voltage restorer based on the dq0 algorithm for three-phase and dynamic voltage restorer based on the average detection method for single-phase are discussed, also in this paper we compare the two methods used to compensate the single-phase and three-phase process. result of three-phase and single-phase voltage sag and swell simulation has been presented by MATLAB/SIMULINK.
Voltage sag mitigation using supercapacitor based dynamic voltage restorereSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Sag mitigation in distribution system by using Dynamic voltage Restorer (DVR)IJERA Editor
Power quality is most important concern in the current age. It’s now a day’s necessary with the refined devices, where performance is very perceptive to the quality of power supply. Power quality crisis is an incidence manifest as a typical voltage, current or frequency that results in a failure of end use equipments. One of the major crises dealt here is the power sag. Perceptive industrial loads and distribution networks suffer from different types of service interruptions and outages which results in a major financial loss. To improve the power quality, custom power-devices are used. The device considered in this work is Dynamic Voltage Restorer. This paper shows modelling, analysis and simulation of a DVR test systems using MATLAB.
I have considered single line to ground fault for linear load. The role of DVR is to “compensate load voltage” is examined during the different fault conditions like voltage sag, single phase to ground faults.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...ijeei-iaes
Consumer utilities are non –linear in nature. This injects increased flow of current and reduced voltage with distortions which cause adverse effect on the stability of consumer utilities. To overcome this problem we are using a modern Flexible Alternating Current Transmission System controller i.e. distributed power flow controller (DPFC). This controller is similar to UPFC, which can be installed in a transmission line between the two electrical areas. In DPFC, instead of the common Dc link capacitor three single phase converters are used. In this paper we are concentrating on system stability (oscillation damping). For analyzing the stability of a single machine infinite bus system (SMIB) we have used PI controlled Distributed Power Flow Controller (DPFC) and Fuzzy controlled DPFC. All these models are simulated using MATLAB/SIMULINK. Simulation results shows Fuzzy controlled DPFC are better than PI controlled DPFC. The significance of the results are better stability and constant power supply.
Utilization of DVR with FLC to Inject Voltage in a Transmission LineIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Low voltage ride through control of modular multilevel converter based hvdc s...Ghazal Falahi
Low Voltage Ride Through (LVRT) is an important grid requirement for Voltage Source Converter (VSC) based HVDC links. This paper studies the performance of the modular multilevel converter (MMC) VSC based HVDC systems during faults or voltage dips and proposes a new control strategy to improve the LVRT performance. The proposed algorithm controls the system to generate the required active and reactive powers that are calculated mathematically based on the ratings of the MMC-HVDC system and LVRT requirements. The injected active and reactive power values obey the LVRT guidelines and are adaptable to different grid codes. The mathematical calculations are presented and EMTDC/PSCAD simulation evaluates the performance of the proposed method.
Voltage Sag and Swell Identification Using FFT Analysis and Mitigation with DVRIOSRJEEE
- Power quality issues like voltage sag, swell, harmonics and transients can affect the power system performance. Voltage sag and swell are now-a-days treated to reduce power quality issues by power engineers. A small variation in voltage can badly affect the operation of power system and connected loads as well. This paper presents the voltage sag and voltage swell identification using FFT analysis. The paper also presents the mitigation for identified voltage sag and swells issues addressed with DVR. DVR consists of a voltage source converter and is controlled with d-q theory which is simple producing reference signals and gate pulses for switches of DVR. The proposed concept was simulated using MATLAB/SIMULINK software and results were presented for identification and mitigation. FFT analyses for identification of voltage sags and swell existence in different phases of power system network were shown. Mitigation of voltage sag and swell with DVR was also shown with results
Mitigation of Voltage Sag/Swell with Fuzzy Control Reduced Rating DVRIJERD Editor
Power quality has been an issue that is becoming increasingly pivotal in industrial electricity
consumers point of view in recent times. Modern industries employ Sensitive power electronic equipments,
control devices and non-linear loads as part of automated processes to increase energy efficiency and
productivity. Voltage disturbances are the most common power quality problem due to this the use of a large
numbers of sophisticated and sensitive electronic equipment in industrial systems is increased. This paper
discusses the design and simulation of dynamic voltage restorer for improvement of power quality and
reduce the harmonics distortion of sensitive loads. Power quality problem is occurring at non-standard
voltage, current and frequency. Electronic devices are very sensitive loads. In power system voltage sag,
swell, flicker and harmonics are some of the problem to the sensitive load. The compensation capability
of a DVR depends primarily on the maximum voltage injection ability and the amount of stored
energy available within the restorer. This device is connected in series with the distribution feeder at
medium voltage. A fuzzy logic control is used to produce the gate pulses for control circuit of DVR and the
circuit is simulated by using MATLAB/SIMULINK software.
Characteristics Analysis of Voltage Sag in Distribution System using RMS Volt...IDES Editor
Voltage sags caused by the short-circuit faults in
transmission and distribution lines have become one of the
most important power quality problems facing industrial
customers and utilities. Voltage sags are normally described
by characteristics of both magnitude and duration, but phaseangle
jump should be taken into account in identifying sag
phenomena and finding their solutions. In this paper, voltage
sags due to power system faults such as three-phase-to-ground,
single phase-to-ground, phase-to-phase, and two-phase-toground
faults are characterized by using symmetrical
component analysis and their effect on the magnitude
variation and phase-angle jumps for each phase are examined.
A simple and practical method is proposed for voltage sag
detection, by calculating RMS voltage over a window of one
cycle and one-half cycle. The industrial distribution system
at Bajaj hospital is taken as a case study. Simulation studies
have been performed by suing MATLAB/SIMULINK and the
results are presented at various magnitudes, duration and
phase-angle jumps.
VOLTAGE SAG AND SWELL ALLEVIATION IN DISTRIBUTION NETWORK USING CUSTOM POWER...Gaddafi Sani
IEEE-Pemc 2014 conference: VOLTAGE SAG AND SWELL ALLEVIATION IN DISTRIBUTION NETWORK USING CUSTOM POWER DEVICES; D-STATCOM AND DVR. by Abdullahi Kunya, T. Yalcinoz, Gaddafi Shehu
SIMULATION OF CASCADED H- BRIDGE MULTILEVEL INVERTER USING PD, POD, APOD TECH...ecij
Multilevel inverter (MLI) can achieve medium voltage high power efficiency inverters in industrial
application. It can generate stepped waveform by reducing harmonic distortion with increase in the
number of voltage level; a full bridge is known as H-bridge inverter because it shows alphabet ‘H’. In this
paper, Multicarrier PWM topologies and there Modulation schemes are discussed. Level Shifted [LS]
Scheme is applied to the Cascade H-bridge multilevel inverter and the complete analysis of THD to 9 levels
is done.
Today, nearly every piece of electrical equipment generates harmonic currents and voltages. This Application Note gives a comprehensive and up-to-date overview of the subject. It explains why harmonic problems have been increasing over recent years, how they are generated, and by which type of equipment. It presents an overview of the various problems harmonic currents can create. Most of them are either related to different kinds of overloading – leading to problems of efficiency loss and overheating – or to disturbances of control and safety devices.
This Application Note also presents a brief overview of the available solutions. The four main mitigation solutions are passive shunt filters, passive series filters, isolation transformers, and active harmonic conditioners. The Application Note concludes that good design practice, the right electrical equipment, and good maintenance are the keys to preventing future problems.
Grid fault Control Scheme for Peak Current Reduction in Photovoltaic Inverte...IJMER
In this paper presents a control scheme for grid interactive photovoltaic inverters to minimize
peak current during unbalanced voltage sag. Power quality of a photovoltaic (PV) inverter deteriorates due
to the presence of grid faults with voltage sag. In grid connected PV important feature is the ride-through
capability, which allows the device to remain connected to the grid during different types of grid
disturbances and avoid the need to disconnect. But during the voltage sag, the source should operate with
increasing converter currents to maintain the injection of the generated power in the system. This abnormal
operation may result in undesired system disconnections due to overcurrent during voltage sag. In this
paper discuss a control scheme provide, controller for a PV three-phase inverter that ensures minimum
peakvalues in the grid- injected currents during voltage sag
this is useful for peoples interested in power quality problems and their mitigation. it provides causes, effects of voltage sag and their mitigation techniques.
Mitigation of Voltage Sag/Swell using Custom Power Devices with SMES System i...Editor IJMTER
Any power problem noticed in voltage, current or frequency deviations that results in
misoperation of customer or end user equipment. The new method of dynamic voltage restorer with
SMES is proposed to protect consumers load from tripping .The DVR can effectively inject the
voltage to the power lines. To improve the performance of DVR the superconducting magnet is
selected as the energy storage unit. The compensation of the voltage sag, swell by short period of
voltage injection. SMES based DVR has been used to improve the performance of power system. It
is having high power rating with maximum efficiency than any other energy storage devices. It
restores line voltage to its nominal value within few milliseconds. Most of the power quality
problems are voltage sag, swell, interruption, transient, fluctuation, etc.. Among those power quality
problem voltage sag is severe one. So it is analyzing and mitigated using custom power device and
SMES system using MATLAB SIMULINK in proposed system.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This paper gives a systematic technique of the design and simulation of Dynamic Voltage Restorer (DVR) the use of Sinusoidal Pulse Width Modulation (SPWM). though electricity great associated problems like voltage sags/swells arise both at the transmission aspect as well as the distribution facet, the terminology used for the compensation devices is exclusive. DVR is a series linked tool used for compensating voltage sags and swells at the distribution side. on this work, a step by step technique is given to determine out the additives which can be required for the layout and simulation of DVR. The detection of sags/swells is completed with the assist of d-q-o concept, whereas the manager of the voltage source inverter is achieved with the assist of SPWM. The VSI has been applied with the assist of both Bipolar SPWM in addition to Unipolar SPWM and the results were compared. The simulation becomes achieved with the help of SIMULINK & MATLAB and the consequences have been located to be in accordance with concept.
Simulation and Comparison of DVR and DSTATCOM Used for voltage sag mitigation...paperpublications3
Abstract: Power Quality problem in a system leads to various disturbances such as voltage fluctuations, transients and waveform distortions that results in a mis-operation or a failure of end user equipment. There are different types of custom power devices like Distribution Static Compensator (D-STATCOM) and Dynamic Voltage Restorer (DVR) which can effectively use for mitigation of different type of power quality problems. This paper describes the technique of correcting the supply voltage sag distributed system and also describes performance comparison are presented between DVR and DSTATCOM to know how both the devices successfully been applied to power system for regulating system voltage effectively. DSTATCOM and DVR both of them based on VSI principle. A DVR is a series compensation device which injects a voltage in series with system and a DSTATCOM is a shunt compensation device which injects a current into the system to correct the power quality problems. This paper presents a power system operation with PI controller with abc to dq0 convertor approach. Total Harmonics Distortion (THD) is also calculated for the system with and without compensation. Results are presented to assess the performance of devices as a potential custom power solution. Improve dynamic voltage control and thus increase system load ability. This paper presents modeling and simulation of DVR & DSTATCOM in MATLAB/Simulink.
Modeling and simulation of dynamic voltage restorer for voltage sag mitigatio...IJRRR
Abstract- Power quality deals with utilization of electric energy from the distribution system successfully without interference or interruption. Various factors like interruption in power supply, under voltage, over voltage, unbalanced voltage or current, harmonic distortion, flickering voltage, voltage fluctuation voltage sag etc. result in poor power quality. These power quality related problems can be solved with the help of various custom power devices. Voltage sags are considered to be the most common type of disturbances in the field based on current power disturbances studies. Their impact on sensitive loads is rigorous. The impact ranges from load disruptions to financial losses. In spite of the technical advances in electronics, there are some pieces of equipment that are so sensitive that they are unable to withstand voltage sags. There are many varies methods to mitigate voltage sags, but a Custom Power Supply device is considered to be the most efficient method. This dissertation is the study of Dynamic Voltage Restorer (DVR) which is the most efficient and effective device to protect sensitive equipment against voltage sags. It has low cost, smaller size and it has dynamic response to the disturbance.
Keywords- Voltage sag, DVR, power system, mitigation
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Enhancement of Power Quality Problem by Using Dynamic Voltage RestorerAM Publications
Dynamic voltage restorers (DVRs) are used to protect sensitive loads from the effects of voltage sags on the
distribution feeder. This paper presents and verifies a novel voltage sag detection technique for use in conjunction
with the main control system of a DVR. In all cases it is necessary for the DVR control system to not only detect the
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equipment are to experience no voltage sag. The DVR can restore the load voltage within few milliseconds. A control
technique based on a proportional–integral (PI) controller and a selective controller is used. The controller is
designed in a synchronously-rotating reference frame. In fact, three independent controllers have been used to tackle
balanced and unbalanced voltage supplies. Simulation results using ‘MATLAB SIMULINK’ Sim Power System
Toolbox is presented to illustrate the principle and performance of a DVR operation in load voltage compensation.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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DVR with Artificial Intelligent Controller for Voltage Sag Mitigation
1. Abstract----Dynamic Voltage Restorer (DVR) is used in power
distribution system to protect sensitive load in voltage disturbances.
Voltage sag is one of the most important power quality problems
challenging the utility industry. Voltage sags can be compensated
by voltage and power injection into the distribution system. DVR is
developed using Mamdani-type fuzzy inference system and
Sugeno-type fuzzy inference system. They are two input and one
output. Both Mamdani-type fuzzy inference system and Sugeno-
type fuzzy inference system are simulated using MATLAB fuzzy
logic toolbox. This paper outlines the basic difference between
these two fuzzy inference system and their simulated results were
compared.
KeywordsـــــDynamic Voltage Restorer (DVR), Mamdani-type
fuzzy inference system (FIS), MATLAB, Sugeno-type fuzzy
inference system (FIS), and Voltage Sag
I. INTRODUCTION
N recent years the demand for quality of electronic power
has been increasing rapidly. Power quality problems has
recieved a great attention nowadays because of their
impacts on both utilites and customers[1]. There are many
power quality problems such as voltage sag, voltage swell,
harmonics, flickers, interruption etc. Among these, voltage
sag is considered to have the most severe effect on the
equipments[2]. These effects can be very burdening for
customers, from minor quality variations to production
downtime and equipment damage[3].
Mohamed Mohamed Khaleel is currently working toward the MSc degree
in Sebelas Maret University, Central Java,Indonesia. His research interest
includes Power System Analysis, Power Electronics ,Power Quality,Control
Systems,Simulation, FACTs and Renewable Energy. Email:
lykhaleel@gmail.com
Khaled Abduesslam is currently working toward the MSc degree in
Sebelas Maret University, Central Java,Indonesia. His research interest
includes Power System Analysis, Power Electronics ,Power Quality,Control
Systems, and Renewable Energy.
Prof. Muhammad Nizam, Member of University Senate / Head of
control unit UNS Ex. Power System. Power Quality. Energy Management
System. Email: Nizam_kh@ieee.org
Dr. Inayati, ST., MT., ph.D, Chemical Engineering Department, Faculty
of Engineering, Sebelas Maret University, Surakarta, Indonesia. Telp:
+62271632112 (office) +62274375213 (home) +6282138248908 (mobil[[)
Email: inayati@fi.uns.ac.id
According to the IEEE standard,voltage sag decreases
from 0.1 to 0.9 p.u in the rms voltage level at the system
frequency and with duration of half cycle to 1 min[4].
Voltage swells are not considered as important as voltage
sag because they are less common in distribution systems
[3].
DVR is a custom power device connected to the load
through a series transformer. To compensate voltage
distrubances, series voltage is injected through the
transformer by voltage-source converter connected to dc
power source. The first DVR was intalled in North Carolina,
for the rug manufacturing industry. Another was intalled to
provide service to a large dair food processing plant in
Australia [16].
There are many different methods using to mitigate
voltage sag. Using a DVR method is an effective Custom
Power Device which can improve power quality, especially
voltage sags [4]. The basic operating principle of DVR is to
detect the voltage sag and inject the missing voltage in series
transformer [2].
Artificial Intelligence techniques such as neural networks
and Fuzzy Logic Controller (FLC) are getting more attention
nowadays. d-q-0 technique has been proposed based on
Artificial Intelligent techniques. Both Mamdani-type fuzzy
inference system and Sugeno-type fuzzy inference system
are two samples of methods proposed for the DVR The
advantage of these two techiques is that they use human
experience. In addition. FLC appears to be the most
promising due to its lower computation burden and
robustness.
This paper not only introduces DVR and its operating
principle, but also presents the proposed controller which is
a combination of FLC and d-q-0 technique. DVR control
approaches used in this paper are Mamdani-type fuzzy
inference system and Sugeno-type fuzzy inference system
methods. These the two approaches are going to be
compared to determine which approach is more robust.
Then, the simulation results are going to be analyzed using
MATLAB-SIMULINK to provide a comparison between the
proposed and the conventional d-q-0 technique in terms of
performance in voltage sag compensation.
II. MODELLING OF DVR
Among power quality problems (voltage sag and swell,
harmonics), voltage sag causes the most severe distrubances.
In order to overcome these disturbances, the concept of
custom power devices are introduced. One of those device is
I
DVR with Artificial Intelligent Controller for
Voltage Sag Mitigation
Mohamed Mohamed Khaleel, Khaled Abduesslam, Prof. Muhammad Nizam,
and Dr. Inayati, ST., MT., ph.D
SEBELAS MARET UNIVERSITY,INDONESIA
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 557
2. DVR, which is regarded as the most efficient and effective
modern custom power device used in power distribution
networks.
The function of the DVR is to inject the missing voltage
in order to regulate the load voltage from any disturbance
due to immediate distort of source voltage [5]. The DVR
was first intalled in 1996. DVR is normally installed in
distribution between the supply and critical load feeder.
Other DVR functions are to rapidly boost up the loadside
voltage in the event of a disturbance and avoid any power
disruption to that load there arevarious circuit topologies and
control schemes [6]. DVR can also add other features like
line voltage harmonics compensation, reduction of transients
in voltage and fault current limitations[5].
The general configuration of DVR consists of voltage
injection transformer, an output filter, an energy storage
device, voltage Source Inverter (VSI), and Control system
shown in Figure 1.
Fig. 1 Structure of DVR [6]
DVR is a series connected device designed to maintain
aconstant RMS voltage across a senstive load. The DVR
consists of :
A. Voltage Source Inverter (VSI)
Voltage Sourse Inverter converts the DC voltage from the
energy storage unit to a controllable three-phase AC voltage.
The inverter switches are normally fired using a sinusiodal
pulse Width Modulation scheme[7].
B. Passive Switch
Filters are used to convert the inverted PWM pulse
waveform. This is acheived by removing the unnecessary
higher harmonic compounds generated during the DC to AC
conversion in the Voltage Source Inverter. Higher harmonic
componeents distort the compensated output voltage [8].
C. Energy Storage Unit
It is important for energy to be stored in the DC form
such as flywheels, batteries, superconducting magnetic
energy storage (SMES) and super capacitors.They can be
used as energy storage devices and supply the real power
requirement of the system when DVR used for
compensation[9].
D. Voltage Injection Transform
In a three-phase system, three single-phase transformer units
and one-three phase transformer unit can be used inject the
voltage in the proposed system [10].
E. Control System
The aim of the control system is to maintain constant
voltage magaitude at the point where a senstive load is
connected under system disturbances [11].
III. OPERATION OF DVR
DVR dynamically injecs controlled voltage in series with
bus voltage through the booster tranformer. The amplitudes
of the injected phase voltages are controlled to eliminate the
terimental effects of the bus fault to the load voltage. The
system impendance Zth depends on the fault level of the load
bus when the system voltage (Vth) drops. DVR injects a
series voltage VDVR through the injection of tranformer so
that the desired load voltage magnitude VL can be
maintained. The series injected voltage on DVR can be
written as [14] :
V DVR = VL+ Zth Ith – Vth (1)
IL = (PL+J QL / VL ) (2)
VL =Desired load voltage magnitude
Zth = load current
IL = load current
Vth= system voltage during fault
IV. PARK’S TRANSFORMATION
DVR control employs a-b-c to d-q-0 transformation.
During normal condtion and symmetrical condition, the
voltage will be constant and d-voltage is unity in p.u and q-
voltage is zero in p.u. but during the abnormal conditions,
the voltage change. After comparing d-voltage and q-
voltage with the desired voltage error, d and q are
generated. This error component is converted into a-b-c
compent using d-q-0 to a-b-c transformation. Phase locked
loop (PLL) is used to generate unit sinusoidal wave in phase
with main voltage. These a-b-c components are given to
generate three-phase pulses using Width Modulation
(PWM) technique[13].
Fig. 2 Scheme Control d-q-0
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 558
3. Figure 2 illustrates the basic control scheme and
parameters measured for control purposes. When the supply
voltage is at its normal level, DVR is controlled to reduce
the losses in the DVR to a minimum voltage. When voltage
sags/swells are detected, DVR will react fast and inject an
AC voltage into the grid.
The d-q-0 transformation, Park’s transformation is used to
control of DVR. The d-q-0 method gives the sag depth and
phase shift information when the voltage sag starts and when
the voltage ends. The quantities are expressed as the
instantaneous space vectors. First, convert the voltage from
a-b-c reference frame to d-q-0 reference.
(1)
Equation 1 defines the transformation from three-phase
system a, b, c to d-q-0 stationary frame. In this
transformation, phase A is aligned to the d axis that is in
quadrature with the q-axis .The theta (θ) is defined by the
angle between phases A to the d-axis. The error signal is
used as a modulation signal generating a commutation
pattern for the power switches (IGBT’s) constituting the
voltage source converter. [15].
V. FUZZY LOGIC CONTROLLER (FLC)
Fuzzy logic controller (FLC) was first proposed in 1965
as a way to imprecise data by Lofti Zadeh, professor at
University of California. After being mostly viewed as a
controversial technology for two decades, FLC has finally
been accepted as an emerging technology since the late
1980s. This is largely due to a wide array of successful
applications such as consumer products, industrial process
control, and automotive applications.
FLC is close in spirit to human thinking and natural
language than conventional logical systems FLC is a
methodology representing and implementing human’s
knowledge about how to control a system [17]. In general,
FLC provides an inference structure enabling appropriate
human reasoning capabilities. Figure 3 shows the basic
configuration of FLC.
Fig. 3 Basic Configuration of FLC
Unlike Boolean logic, FLC allows states (membership
Values) between 0 or 1 [19]. The general structure of FLC is
represented in Figure 4 below. FLC comprises four
principal components:
a fuzzyfication interface which converts input data into
suitable linguistic values;
a knowledge base which consists of data base with the
necessary linguistic definitions and control rule set;
a decision-making logic which stimulates human decision
process inferring the fuzzy control action from
knowledge of the controlrules and linguistic variable
defenitions;
a defuzzyfication interface which yields a non-fuzzy
control action
In this paper, FLC block are used for error singnal-d and
error signal-q. The error is calculated from the difference
between supply voltage data and reference voltage data. The
error rate is the the change of error. The error can be
formulated as shown in equation below:
Error =Vref –SV (3)
Error rate= error(n)-error (n-1) (4)
Fig. 4 Fuzzy Logic Controller (FLC) Scheme
The aim of the control system is to maintain voltage
magnitude at the point where a sensitive load is connected
under system disturbances. The harmonics is generated in
the load terminals using six pulse converters with fixed
firing angle connected to the main drive non linear load
which is parallel to the sensitive load. Voltage sag is created
at load terminals via a three-phase fault. The above voltage
problems are sensed separately and passed through the
sequence analyzer. The control system of the general
configuration typically consists of a voltage correction
method which determines the reference voltage injected by
DVR. In this paper, VSI consists of PWM with FLC.
Input consists of fuzzy error signal derived from the
reference voltage. It controls the proposed DVR based on a
fuzzy logic. The PWM signal generator controls the DVR
inverter to generate the required injected voltage. The
function of FLC is very useful since its exact mathematical
model is not required. FLC system can be divided into four
main functional blocks; Knowledge base, Fuzzification,
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 559
4. Inference mechanism and Defuzzification Rule base. In this
study, a fuzzy logic based feedback controller is employed to
controll the voltage injection of the proposed (DVR). The
implication step of FLC is used to introduce the evalution of
indiviual rules.
In further sections of this paper, analysis of various
methods of DVR control, each resulting from innovative
improvements on the existing methods will be carried out.
New DVR control approaches introduced in this paper are
Sugeno-type fuzzy inference system and Mamdani-type
fuzzy interference system.
A. Sugeno-type FIS
Sugeno-type fuzzy inference system has better processing
time since the weighted average replaced the time
consuming defuzzification process than Mamdani-type fuzzy
inference system. Due to the interpretable and intuitive
nature of the rule base, Mamdani-type FIS is widely used in
particular for decision support application. Other differences
are that Mamdani-type FIS has output membership functions
whereas Sugeno-type FIS has no output membership
functions and Mamdani-type FIS is less flexible in system
design compared to Sugeno-type FIS as latter can be
integrated with ANFIS tool to optimize the outputs [18].
The knowledge base is composed of data base and rule
base. Data base consists of input and output membership
functions and provides information for appropriate
fuzzification and defuzzification operations. The rule-base
consists of a set of linguistic rules relating the fuzzified input
variables to the desired control actions. Fuzzification
converts a crisp input signal, the error, and error change
(delta error) into fuzzified signals identified by level of
membership in the fuzzy sets. The inference mechanism uses
the collection of linguistic rules to convert the input
conditions to fuzzified output. Finally, the defuzzification
converts the fuzzy outputs to crisp control signals, which in
the system acts as the changes in the control input. Input-
output fuzzy consists of two inputs that error and delta_error
and one output.
Fig. 5 Construction of a FLS file in Matlab
Fig. 6 Membership functions of input error (E).
Fuzzy Interference System constructing processes are
conducted as explained below:
1) Choose a specific type of FIS (Mamdani or sugeno)
2) Select relevant input-output variables
3) Determine the number of linguistic terms associated
with each input-output variables (determine the
membership function for each lingistic term)
4) Design a collections of fuzzy if-then rules.
5) Choose the defuzzification method to exract a crisp
value that best represents fuzzy set.
6) Run through test suite to validate system and adjust
details as required.
Fig. 7 Membership functions of input delta_error.
The applied output of the fuzzy system consists of
constant variables such as NB, NS, Z, PS, PB where NB=-
250, NS=-200 Z=0, PS=200, PB=250. Those variables are
then converted into the fuzzy rule base as shown in the table
1.
TABLE I
FUZZY RULES
Error
delta_error
N Z P
N NB NS Z
Z NS Z PS
P Z PS PB
B. Mamdani-type FIS
Mamdani-type fuzzy inference system method is widely
accepted to capture expert knowledge. It allows us to
describe the expertise in more intuitive and more human-like
manner. However, this method entails a substantial
computational burden. On the other hand, Sugeno-type fuzzy
inference system method is computationally efficient and
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 560
5. works well with optimization and adaptive techniques,
making it very attractive in control problems, particularly for
dynamic non linear systems. These adaptive techniques can
be used to customize the membership functions so that fuzzy
system best models the data. The most fundamental
difference between Mamdani-type and Sugeno-type is the
way the crisp output is generated from the fuzzy inputs.
While Mamdani-type FIS uses the technique of
defuzzification of a fuzzy output, Sugeno-type FIS uses
weighted average to compute the crisp output. The
expressive power and interpretability of Mamdani-type
output is lost in the Sugeno-type since the consequents of the
rules are not fuzzy [18].
Fig. 8 Membership functions of input error
Fig. 9 Membership functions of input delta-error
Fig. 10 Membership functions of output fuzzy set.
Output of the Mamdani-type fuzzy inference system is
linear function [-10000 10000] consisting of a fuzzy set NB,
NS, Z, PS, and PB where, NB = negative big, NS = negative
small, Z = zero, PS = positive small, and PB = positive large.
TABLE II
FUZZY RULES
Error
delta_error
N Z P
N NB NS Z
Z NS Z PS
P Z PS PB
VI. DVR TEST SYSTEM
The performance of the designed DVR, as shown in
Figure 13 and 14 is evaluated using Matlab/Simulink. Tablet
1 shows the values volumes of parameters. DVR Test
System comprises 13 kV,50 Hz generator, feeding
transmissions lines through a 3-winding transformer
connected in Y/Delta/Delta
Fig. 11 Matlab model of the DVR based on d-q-0 technique
Fig. 12 Matlab model of the DVR based on FLC(Sugeno/Mamdani)
TABLE III
SYSTEM PARAMETERS
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 561
6. VII. RESULTS DISCUSSION
The result consists of the simulation of distribution
network without installation of DVR and simulation on
distribution network with installation of DVR systems. DVR
is simulated using MATLAB SIMULINK. The voltage sags
occur at the time duration of 0.4 sec.
1) Control Surfaces using FLS
The plot is obtained after the simulation of Mamdani-type
fuzzy inference system (FIS) and Sugeno-type fuzzy
inference system (FIS) using MATLAB Fuzzy logic toolbox
(as shown in Figures 13 and 14).
Fig. 13 Control Surfaces of Mandani-type fuzzy inference system.
Fig. 14 Control surfaces of Sugeno-type fuzzy control
2) The Result oF DVR
DVR is simulated using MATLAB SIMULINK is used
when stimulating the DVR. From this simulation, it can be
concluded that the voltage sags occur for 0.4 second as
shown in Figure 15 below.
Fig. 15 Compensation of Sag by one-phase d-q-0 with DVR and
without DVR
The orange line indicates the occurrence of voltage sag at
period of time from 0.4 p.u up to 0.8 p.u. The value of the
voltage drops up to 0.14 p.u. because DVR is not installed in
the grid. Meanwhile, the black line indicates the DVR
installation used in the grid, injecting voltage up to 88% at
single phase fault.
Fig. 16. Compensation of Sag by one-phase fuzzy logic Controller (
Sugeno/Mamdani) with DVR and without DVR.
As seen in Figure 16, the green line shows the using
Sugeno-type fuzzy inference system method when the
voltage sag happens at the period of time from 0.4 up to 0.8.
DVR based Sugeno-type is proven to be able to support the
network by 98%. The blue line illustrates the using
Mamdani-type fuzzy inference system method Mamdani-
type fuzzy inference system which gives the same result as
Sugeno-type fuzzy inference system .Meanwhile, the orange
lines indicates when single-phase fault happens without
DVR installation.
Fig. 17 Compensation of Sag by one-d-q-0, fuzzy logic controller
(Sugeno/Mamdani) with DVR and without DVR
As described in Figure 17, the green line illustrates that
the green color indicates voltage sag occurrence at the
period of time from 0.4 up to 0.8. when DVR Sugeno-type
fuzzy inference system is installed. DVR based Sugeno
Fuzzy is proven to be able supporting 98% network in the
grid. The blue line shows that Mamdani-type fuzzy inference
system installation give the same result as Sugeno-type
fuzzy inference system when the voltage happens.
Meanwhile, the orange line illustrates when single-phase
fault happens in the grid without DVR installation. The
black line describesthe injected voltage using DVR based on
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 562
7. d-q-0 technique where park’s tranformation is able to
support 88% network in the grid.
Fig. 18 Compensation of Sag by two-phase d-q-0, fuzzy logic
controller (Sugeno) with DVR and without DVR
Figure 18 illustrates that both of Sugeno-type and
Mamdani-type fuzzy inference system inject the same
value at 96% in the grid when voltage sag happens at the
period of time from 0.4 up to 0.8. In this scheme, DVR
based d-q-0 technique is able to support 84% network in
the grid two-phase fault.
Fig. 19 Compensation of Sag by three-phase d-q-0, Sugeno fuzzy
controller with DVR and without DVR.
Figure 19 illustrates that both of Sugeno-type and
Mamdani-type fuzzy inference system injects the same
value at 94% in the grid when voltage sag happens at the
period of time from 0.4 up to 0.8. In this sceme, DVR based
d-q-0 technique is able to support 80% network in the grid
at three-phase fault.
VIII. CONCLUSION
This paper concludes that DVR is an effective device to
compensate the voltage sag in power distribution systems. In
term of DVR applications, although Mamdani-type and
Sugeno-type share the same functions and rules, there are
some distinctions between them. The output membership
functions in Sugeno-type can only be either constant or
linear. The crisp output is generated in different ways for
both the types. In some ways, Sugeno-type is more superior
than Mamani-type as it can be integrated with neural
networks and genetic algorithm or other optimization
techniques.
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Dr. Inayati, ST., MT., ph.D Chemical Engineering
Department, Faculty of Engineering, Sebelas Maret
University, Surakarta, Indonesia. Telp:
+62271632112 (office) Email: inayati@fi.uns.ac.id
Mohamed Mohamed Khaleel was born in 09-07-
1988, Misrata, Libya. He is currently working
toward the MSc degree in Sebelas Maret
University, Central Java,Indonesia. His research
interest includes Power System Analysis, Power
Electronics ,Power Quality, Control Systems,
Renewable Energy, and Artificial Intelligence
Systems.
Email: lykhaleel@gmail.com
Prof. Muhammad Nizam. M. T. ph., D MIEEE.,
IPM.Member of University Senate /Head of
control unit UNS Ex.Power System. Power
Quality. Energy Management System. Email:
Nizam_kh@ieee.org
Khaled Abduesslam – M was born in 09-07-
1983, Tekarkeba , Libya. He is currently working
toward the MSc degree in Sebelas Maret
University, Central Java,Indonesia. His research
interest includes Power System Analysis, Power
Electronics ,Power Quality,Control Systems, and
Renewable Energy.
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore
http://dx.doi.org/10.15242/IIE.E0314165 564