M.S. Naderi

Amirkabir University of Technology, Tehrān, Ostan-e Tehran, Iran

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Publications (51)9.09 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: The purpose of this paper is reliability improvement by allocation of transformer winding radial deformation using electromagnetic waves based on matched filters. In this paper, in order to determinate radial deformation in a simplified model of the transformer winding, the matched filter input signal is used to analyze the signals. Environmental effects causing problems for the analysis of signals. Due to the high sensitivity of electromagnetic signals for locating faults, providing a approach based on matched filter by comparing the reference signal is useful.
    3rd international conference on reliability engineering; 02/2014
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    ABSTRACT: During power swings, the distance protection may experience maloperation. Most recently, practical distance protection has used the rate of change of power system parameters. For example, the speed of the impedance trajectory movement through the blinder characteristics is generally used to distinguish between the fault and power swing. These methods experience maloperation in the external faults or in stable power swings. The proposed method solves the shortcomings via an approach that does not use the rate of change of power system parameters. In this paper, the circular locus of the admittance trajectory and its center behavior are investigated to detect power swing conditions based on a relay flowchart. The proposed method is able to detect power swings reliably before the impedance trajectory enters the distance protection zone. In addition, symmetrical and asymmetrical faults during power swings can be detected quickly to prevent power system instability in critical conditions. Simulation results show that the proposed method provided superior performance in comparison with other methods, especially for maloperation. In addition, unlike most power swing detection schemes, the proposed method is not affected by the selected power swing frequencies even for high-frequency swings (10 Hz).
    IEEE Transactions on Power Delivery 01/2014; 29(3):1192-1202. · 1.52 Impact Factor
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    ABSTRACT: Power transformers are one of the most expensive components of the power system. Timely detection of fault arose in the transformer can be used to prevent unwanted outage of transformer and repair costs. Using electromagnetic waves has recently been proposed for on-line monitoring of the transformer. The presence of the tank in the transformer structure causes problem for analyzing the electromagnetic waves. In this paper, a new analytical method based on locus of the objects in the space is proposed to detect the radial deformation location of a disk winding considering tank effect. The proposed experimental setup for this method has been modeled using CST (Computer Simulation Technology) software. In this paper, Vivaldi antennas suitable for measurements in environments with multi-path routing are used and the analysis is performed in the time domain. The simulation results show that exact determination of radial deformation location can be detected with good accuracy using this method.
    Electrical Engineering (ICEE), 2013 21st Iranian Conference on; 01/2013
  • M. Bagheri, M. S. Naderi, T. Blackburn, T. Phung
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    ABSTRACT: Power transformers are in service under different environmental, electrical, and mechanical conditions [1] and may be subject to enormous hazards during the course of operation [2], [3]. They are commonly considered to be the heart of the transmission and distribution sectors of electric power systems; monitoring their condition and diagnosing faults are important parts of the maintenance function [4]. Utility engineers strive to keep power transformers in service and to prevent even shortterm outages. Failure of a transformer can cause extensive damage to equipment owned by consumers or the utility [5].
    IEEE Electrical Insulation Magazine 01/2013; 29(3):33-40. · 1.32 Impact Factor
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    ABSTRACT: In order to reduce time out of the transformer circuit, implementation of methods for online monitoring is important. Using electromagnetic waves has recently been proposed for on-line monitoring of the transformer. In this paper, a new analytical method based on locus of objects in space to detect the radial deformation of winding, is proposed. The proposed experimental set-up for this method has been modelled using CST (Computer Simulation Technology) software. The simulation results show that exact determination of radial deformation location along the transformer winding height can be detected with good accuracy using this method.
    4th Conference on Thermal Power Plants (Gas, Combined Cycle, and Steam); 01/2012
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    ABSTRACT: Diagnosis of electrical equipment, particularly distribution and power transformers, which are considered as the heart of the electric power grid, has been quite important for quite a long time. Transformer diagnosis methods have been introduced and employed to recognize transformer internal defects since many years ago. Turn to turn and disc to disc short circuit in transformer windings are considered as one of the main problems in transformer active part. Flux Division Measurement (FDM) technique is employed specifically to realize internal short circuit in transformer windings. This test is performed as an on-site, non-destructive, fast and simple method to detect turn to turn or disc to disc short circuits in transformer windings. In this study, a 360 MVA, 230 kV/20 kV five-limb step up transformer has been taken as a case in order to clarify the capability of Frequency Response Analysis (FRA) in internal short circuit detection of transformer. Also, FRA tests were performed to elaborate that it is able to give further detailed information as well. Interpretation of test results on this giant transformer winding shows that FRA method is capable to provide significant information as to the healthy or defected condition of the windings.
    Power System Technology (POWERCON), 2012 IEEE International Conference onPower System Technology (POWERCON), 2012 IEEE International Conference on; 01/2012
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    ABSTRACT: The drive to improve energy efficiency and reduce electrical loading has resulted in energy efficient lighting such as compact fluorescent lamps (CFLs) replacing conventional incandescent lamps. However, the presence of such non-linear loads has brought about the injection of voltage and current harmonics into electrical networks. As transformers are the interface between the supply and the non-linear loads, the investigation of their effects on transformer losses is of great importance. These harmonics can cause excessive loss and abnormal temperature rise in the transformers, thus reducing their operational life span. This paper investigates the impact of current and voltage harmonics of the loads on a single-phase 25kVA distribution transformer. Harmonic spectra of a range of non-linear loads including CFL, LED tube, PC and fluorescent lamp are obtained. A single-phase inverter is used for harmonic generation to simulate power supply harmonics injected into the transformer. Open circuit and short circuit tests are conducted on the transformer under the effect of harmonics, and the impacts on core loss are analyzed.
    Condition Monitoring and Diagnosis (CMD), 2012 International Conference onCondition Monitoring and Diagnosis (CMD), 2012 International Conference on; 01/2012
  • M. Bagheri, M. S. Naderi, T. Blackburn, T. Phung
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    ABSTRACT: Power transformers are supposed to be and remain in service in various environmental circumstances under different electrical and mechanical stresses. Base on failure history in power transformers obtained from four corners of the globe one of the major problems in transformers is mechanical defect. A number of monitoring and diagnostic methods have been introduced to recognize transformer active part displacement and winding deformation. Frequency response analyses and short circuit impedance measurement have been employed as two common diagnosis methods in large power transformer winding deformation recognition. On the other hand, researchers are expressing an increased concern about power transformer condition monitoring in the smart grid context. Hence, all of off-line methods need to move towards on-line applications. One of the challenges is finding reasonably accurate method which can provide sufficient information about transformer winding condition. In this study, mechanical defects of windings and their causes are investigated in detail. Frequency response analyses and short circuit impedance measurement as two popular methods in transformer winding deformation diagnosis will be employed to get insight into transformer active part condition. A large power transformer has been taken as a case in order to put the capability and sensitivity of abovementioned methods into test. Onsite test results on this giant transformer winding show that frequency response analyses method is capable to provide far more information as to the healthy or defected condition and physical movements of the transformer's windings and core compared to the other method.
    Electrical Insulation (ISEI), Conference Record of the 2012 IEEE International Symposium onElectrical Insulation (ISEI), Conference Record of the 2012 IEEE International Symposium on; 01/2012
  • O. Abedinia, N. Amjady, Mohammad S. Naderi
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    ABSTRACT: A Strength Pareto Honey Bee Mating Optimization (SPHBMO) based Multi-stage Fuzzy (MSF) PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. The power system LFC problems are caused by small load perturbations which continuously disturb the normal operation of power system. The objectives of LFC are to minimize the transient deviations in theses variables (area frequency and tie-line power interchange) and to ensure their steady state errors to be zeros. The results of the proposed controller are compared with the classical fuzzy PID type and MSF PID controller optimized by Modified Genetic Algorithm (MGA) through ITAE and FD performance indices.
    01/2012;
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    ABSTRACT: Transformer is one of the crucial equipments in electric power network. Moisture in paper insulation acts as a catalyst in transformer insulation aging. Experience has shown that humidity will affect electrical strength of paper and pressboard as well as other insulation system materials by reducing degree of polymerization and accelerated aging. Thus, it is essential to determine the extent of moisture content within insulation system before exciting the transformer and also during normal operation. In this regard, chemical tests on oil have been carried out for many years. Also, electrical tests for assessing the transformer condition have been developed and improved in recent years while most introduced methods aim to extract moisture from transformer insulation system. In this study, the results of practically applicable methods in oil sampling (KFT and capacitance sensors), paper sampling (Dean-Stark method) and also dielectric response (RVM, PDC, FDS) are examined in determining insulation system humidity. Test results through various methods are compared to analyze the sensitivity of different approaches. Crucial practical recommendations as well as advantages and disadvantages of each method are discussed. At last, to recommend an accurate and reliable method for practical implementations, practical tests have been performed simultaneously on three distribution transformers and the results of them are discussed.
    Power and Energy (PECon), 2012 IEEE International Conference onPower and Energy (PECon), 2012 IEEE International Conference on; 01/2012
  • O. Abedinia, N. Amjady, Mohammad S. Naderi
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    ABSTRACT: This paper presents optimal congestion management in an electricity market using Modified Invasive Weed Optimization (MIWO). The IWO is a bio-inspired numerical technique which is inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. Transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. They also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. This paper focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO-TVAC and PSO-TVIW. The numerical results demonstrate that the proposed technique is better and superior than other compared methods.
    01/2012;
  • M. Bagheri, M.S. Naderi, T. Blackburn
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    ABSTRACT: On-line monitoring and diagnosis of transformers have been investigated and discussed significantly in last decade. This study has concentrated on issues arising while on-line transformer winding deformation diagnosis is going to be applied on transformers with various kinds of techniques. From technical perspective, before replacing off-line methods by on-line methods and eventually by intelligent approaches, practical challenges must be addressed and overcome. Hence, available off-line transformer winding deformation diagnosis methods are discussed precisely. Mathematical calculation in on-line short circuit impedance measurement is investigated. On-line transformer transfer function measurement setup is presented. A profound insight to the problems pertaining on-line transformer winding deformation recognition methods, characterizes existing online methods, explains the concepts behind online measurements and striving to open the discussion doors towards challenges are discussed. In the end a 400 MVA step up transformer has been taken as a case in order to clarify the capability of Frequency Response Analysis (FRA) method in fault detection while short circuit impedance could only demonstrate some rough understanding about transformer condition.
    IEEE Transactions on Dielectrics and Electrical Insulation 01/2012; 19(6):1860-1870. · 1.36 Impact Factor
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    ABSTRACT: Dielectric diagnosis with polarization and depolarization currents (PDC) which employs the dielectric response of system in time domain is applied to investigate differences between PDC patterns produced by two types of transformer insulating fluids, mineral and bio-degradable oil. The mineral oil used is Shell Diala BX, and the biodegradable one is Envirotemp FR3. The latter is ester-based, and a relatively new transformer insulating fluid introduced as an environmentally-friendly alternative to conventional mineral oil. The DC conductivity of the two oil types is obtained under the effects of various temperature and moisture levels. The experiment is conducted for two levels of moisture when temperature factor is changed from ambient to 90 °C. The oil water content measurement is conducted using Karl-Fischer-Titration. Also, an attempt was made to investigate the effects that different testing voltages and time durations have on the polarization and depolarization spectrum. A range of DC voltages up to 1000V, and time durations from 1000 to 10000 seconds have been applied. Finally, all the PDC patterns obtained under the effect of mentioned factors are evaluated.
    IPEC, 2012 Conference on Power & EnergyIPEC, 2012 Conference on Power & Energy; 01/2012
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    ABSTRACT: Ultra Wide Band (UWB) radio frequency method for allocating partial discharge (PD) is a new method for PD source localization on power transformers which is based on diamond shape multi-antenna PD detection and Huygens-Fresnel principle. Preparing a simulation environment is the first step to achieve this goal. In this paper, a three-dimensional simulation is performed using CST software and the PD source current is simulated. According to the results, this software is helpful for simulation of PD allocation using UWB signals with time difference of arrival (TDOA) method.
    Thermal Power Plants (CTPP), 2012 4th Conference on; 01/2012
  • 27-th International Power System Conference; 01/2012
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    ABSTRACT: Energy efficiency with all its various aspects has been taken into consideration as the resources are diminishing at various rates. Improving the equipment efficiency is one of the major steps to get closer to ideal efficient use of energy in electric power systems. In this regard, transformer efficiency in distribution networks has been crucially studied over past decade. Advantages and disadvantages of various types of lamps including incandescent, fluorescent, Compact Fluorescent Lamps (CFL) and Light Emitted Diode (LED) from energy point of view have been debated quite effectively in the literature. Since the power utilities and their customers are showing an increased concern about the energy efficiency and power quality aspects, there are some mixed feelings towards recently introduced lamps. In this regard, harmonic distortion level initiated by extensive use of harmonic-generating lamps is considered. Vital electric characteristics of four lamp types will be explored. Then, transformer de-rating under non-sinusoidal condition from standard point of view is investigated. By using power quality analyzer, current harmonic levels generated by the abovementioned lamps are measured. Calculation and simulation of transformer loading while using each light as transformer load is performed, and finally effects of lamps on transformer de-rating is compared.
    Power System Technology (POWERCON), 2012 IEEE International Conference onPower System Technology (POWERCON), 2012 IEEE International Conference on; 01/2012
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    ABSTRACT: In this study, the application of S-transform with a frequency-dependent window is proposed for distinguishing internal incipient faults in transformers. The S-transform is applied to the recorded input current waveforms during the impulse test. Then, time-frequency contours of the S matrix are plotted and a suggested index is computed, accordingly. Faulty and healthy windings can be discriminated using time-frequency contours and proposed decision index. A 66-kV/25-MVA interleaved transformer winding is modelled in a MATLAB environment, also an arc discharge model is used and the effectiveness of the proposed method is studied. Laboratory tests are performed on this transformer winding and the performance of the method in noisy environments is investigated. According to the laboratory test and simulation results, it can be said that the suggested S-transform-based method is capable of detecting incipient faults conveniently.
    IET Electric Power Applications 01/2012; 6(4):225-232. · 1.56 Impact Factor
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    ABSTRACT: Diagnosis of electrical equipment, particularly distribution and power transformers has been quite important for quite a long time. Frequency Response Analysis (FRA) has been introduced years ago and has been employed as an off-line diagnosis test since last decade to investigate transformer mechanical integrity. As smart high voltage monitoring concept is under developing, on-line transformer winding deformation diagnosis has been investigated and discussed significantly over the last years. Hence, on-line diagnosis method implementations have become important accordingly. This study has concentrated on issues arising while on-line FRA is going to be employed on transformers. Existing off-line and on-line transformer winding deformation diagnosis methods are discussed and an on-line frequency response analysis measurement setup is proposed. A profound insight to the challenges associated with on-line FRA measurement has been provided. Influence of on-line setup on frequency response trace sensitivity, accuracy and interpretation has been highlighted. In the end, practical study has been performed on a 66 kV interleaved winding connected various types of capacitive bushings to explore the boundary condition for on-line FRA setup design and to address fundamental challenges.
    Power and Energy (PECon), 2012 IEEE International Conference onPower and Energy (PECon), 2012 IEEE International Conference on; 01/2012
  • O. Abedinia, N. Amjady, M.S. Naderi
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    ABSTRACT: This paper a Multi-objective Firefly Algorithm (MOFA) is proposed for Environmental/ Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Actually, EED problem is the scheduling of generators which fulfill the load demand of the power plants using fossil fuel and also making combined production, in order for them to perform with minimum cost and emission. Therefore, by EED, emissions can be reduced by dispatch of power generation to minimize emissions. Which is affect on power generated, system loads, fuel cost and emission coefficients in real-world situations. The MOFA technique has been carried out on the IEEE 30- and 118-bus test system. This technique is compared with other techniques which reveals the superiority of the proposed approach and confirms its potential for solving other power systems problems.
    Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on; 01/2012
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    ABSTRACT: HVDC transmission systems can overcome some inherent limitations of AC transmission systems such as transmission between over long distances and transmission via cables. One of the important aspects of HVDC systems is the improvement of stability can be achieved by AC/DC transmission systems. This paper presents a new LQG/LTR robust controller method, which can be used for small signal stability improvement of AC/DC systems. The results demonstrate that significant improvements in either of oscillatory and dynamic stability have been obtained. The capability of the suggested method and designed controller has been verified by simulation results.
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on; 06/2011

Publication Stats

79 Citations
9.09 Total Impact Points

Institutions

  • 2004–2008
    • Amirkabir University of Technology
      • Department of Electrical Engineering
      Tehrān, Ostan-e Tehran, Iran
  • 2004–2007
    • Sharif University of Technology
      • Department of Electrical Engineering
      Tehrān, Ostan-e Tehran, Iran
  • 2005
    • University of New South Wales
      • School of Electrical Engineering and Telecommunications
      Kensington, New South Wales, Australia