International Journal of Digital Application & Contemporary research Website: (Volume 2, Issue 6, January 2014)

Similar documents
International Journal of Digital Application & Contemporary research Website: (Volume 2, Issue 10, May 2014)

Modern Philosophies of Inrush Current Detection Algorithm and their Impact on Transformer Protection

A Review of various Techniques for the Improvement of Differential Protection in Power Transformers

POWER TRANSFORMER PROTECTION USING ANN, FUZZY SYSTEM AND CLARKE S TRANSFORM

II. DIFFERENTIAL PROTECTION

Analysis of Modern Digital Differential Protection for Power Transformer

Decriminition between Magnetising Inrush from Interturn Fault Current in Transformer: Hilbert Transform Approach

Keywords: Wavelet packet transform (WPT), Differential Protection, Inrush current, CT saturation.

Keywords: Transformer, differential protection, fuzzy rules, inrush current. 1. Conventional Protection Scheme For Power Transformer

MATHEMATICAL MODELING OF POWER TRANSFORMERS

A Review: Transformer Protection for Magnetizing Inrush Current and Different Protection Schemes

Negative-Sequence Based Scheme For Fault Protection in Twin Power Transformer

Symmetrical Components in Analysis of Switching Event and Fault Condition for Overcurrent Protection in Electrical Machines

Application of Wavelet Transform in Power System Analysis and Protection

Identification of Inrush and Internal Fault in Indirect Symmetrical Phase Shift Transformer Using Wavelet Transform

TRANSIENT STABILITY ENHANCEMENT OF POWER SYSTEM USING INTELLIGENT TECHNIQUE

An Improved Algorithm for Variable Slope Differential Protection of Distribution Transformer using Harmonic Restraint

A NEW DIFFERENTIAL PROTECTION ALGORITHM BASED ON RISING RATE VARIATION OF SECOND HARMONIC CURRENT *

Single-Core Symmetrical Phase Shifting Transformer Protection Using Multi-Resolution Analysis

Testing of Circuit Breaker and over Current Relay Implementation by Using MATLAB / SIMULINK

Feature Extraction of Magnetizing Inrush Currents in Transformers by Discrete Wavelet Transform

Turn-to-Turn Fault Detection in Transformers Using Negative Sequence Currents

Discrimination between Inrush and Fault Current in Power Transformer by using Fuzzy Logic

IDENTIFICATION OF POWER QUALITY PROBLEMS IN IEEE BUS SYSTEM BY USING NEURAL NETWORKS

Generator Protection GENERATOR CONTROL AND PROTECTION

Improved power transformer protection using numerical relays

Power System Protection Part VII Dr.Prof.Mohammed Tawfeeq Al-Zuhairi. Differential Protection (Unit protection)

Wavelet Transform Based Islanding Characterization Method for Distributed Generation

An Enhanced Symmetrical Fault Detection during Power Swing/Angular Instability using Park s Transformation

Fault Detection Using Hilbert Huang Transform

Catastrophic Relay Misoperations and Successful Relay Operation

DETECTION AND CLASSIFICATION OF POWER QUALITY DISTURBANCES

Solution for Effect of Zero Sequence Currents on Y-Y Transformer Differential Protection

Three Zone Protection By Using Distance Relays in SIMULINK/MATLAB

Power systems Protection course

A Novel Method in Differential Protection of Power Transformer Using Wavelet Transform and Correlation Factor Analysis

IMPLEMENTATION OF DIFFERENTIAL PROTECTION OF THREE PHASE TRANSFORMER USING MATLAB SIMULINK

Transformer Protection

Protective Relaying of Power Systems Using Mathematical Morphology

Performance of current transformer operate under harmonic condition and their effects on transformer differential protection

IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL

Hands On Relay School Open Lecture Transformer Differential Protection Scott Cooper

International Journal of Scientific & Engineering Research, Volume 7, Issue 12, December-2016 ISSN Ribin MOHEMMED, Abdulkadir CAKIR

Implementation of Power Transformer Differential Protection Based on Clarke s Transform and Fuzzy Systems

AN ANN BASED FAULT DETECTION ON ALTERNATOR

Online Diagnosis and Monitoring for Power Distribution System

g GE POWER MANAGEMENT

NEW CRITERION FOR STATOR INTER TURN FAULT DETECTION OF SYNCHRONOUS GENERATOR

PROTECTIVE RELAY MISOPERATIONS AND ANALYSIS

Discrimination of Fault from Non-Fault Event in Transformer Using Concept of Symmetrical Component

www. ElectricalPartManuals. com Transformer Differential Relay MD32T Transformer Differential Relay

A NOVEL CLARKE WAVELET TRANSFORM METHOD TO CLASSIFY POWER SYSTEM DISTURBANCES

A Novel Fuzzy Neural Network Based Distance Relaying Scheme

A Novel Technique for Power Transformer Protection based on Combined Wavelet Transformer and Neural Network

R10. IV B.Tech I Semester Regular/Supplementary Examinations, Nov/Dec SWITCH GEAR AND PROTECTION. (Electrical and Electronics Engineering)

Application of Discrete S-Transform for Differential Protection of Power Transformers

[Nayak, 3(2): February, 2014] ISSN: Impact Factor: 1.852

SERIES (OPEN CONDUCTOR) FAULT DISTANCE LOCATION IN THREE PHASE TRANSMISSION LINE USING ARTIFICIAL NEURAL NETWORK

Innovative Science and Technology Publications

Busbars and lines are important elements

International Journal of Advance Engineering and Research Development ANALYSIS OF INTERNAL AND EXTERNAL FAULT FOR STAR DELTA TRANSFORMER USING PSCAD

Investigations of Fuzzy Logic Controller for Sensorless Switched Reluctance Motor Drive

Mitigation of voltage disturbances (Sag/Swell) utilizing dynamic voltage restorer (DVR)

Modeling & Simulation of PMSM Drives with Fuzzy Logic Controller

Shortcomings of the Low impedance Restricted Earth Fault function as applied to an Auto Transformer. Anura Perera, Paul Keller

Visualization and Animation of Protective Relay Operation

Data. Dr Murari Mohan Saha ABB AB. KTH/EH2740 Lecture 3. Data Acquisition Block. Logic. Measurement. S/H and A/D Converter. signal conditioner

Detection and classification of faults on 220 KV transmission line using wavelet transform and neural network

Proceedings of the 5th WSEAS Int. Conf. on SIMULATION, MODELING AND OPTIMIZATION, Corfu, Greece, August 17-19, 2005 (pp )

Hands On Relay School Open Lecture Transformer Differential Protection Scott Cooper

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

Wavelet Transform for Classification of Voltage Sag Causes using Probabilistic Neural Network

A DYNAMIC VOLTAGE RESTORER (DVR) BASED MITIGATION SCHEME FOR VOLTAGE SAG AND SWELL

HYSTERESIS CONTROL FOR CURRENT HARMONICS SUPPRESSION USING SHUNT ACTIVE FILTER. Rajesh Kr. Ahuja

A new scheme based on correlation technique for generator stator fault detection-part π

Key-Words: - NARX Neural Network; Nonlinear Loads; Shunt Active Power Filter; Instantaneous Reactive Power Algorithm

Indirect Rotor Field Oriented Control (IRFOC) for Three Phase Induction Motor Drive Using MOSFET

Analysis, Modeling and Simulation of Dynamic Voltage Restorer (DVR)for Compensation of Voltage for sag-swell Disturbances

A Novel Five-level Inverter topology Applied to Four Pole Induction Motor Drive with Single DC Link

PERFORMANCE ANALYSIS OF SRM DRIVE USING ANN BASED CONTROLLING OF 6/4 SWITCHED RELUCTANCE MOTOR

Anti-IslandingStrategyforaPVPowerPlant

Power Transformer Differential Protection using S- transform and Support Vector Machine

Classification of Voltage Sag Using Multi-resolution Analysis and Support Vector Machine

Transformer Protection Principles

Real-time Visualization, Monitoring and Controlling of Electrical Distribution System using MATLAB

Volume I Issue VI 2012 September-2012 ISSN

System Protection and Control Subcommittee

Electrical Protection System Design and Operation

Detection and localization of internal turn-to-turn short circuits in transformer windings by means of negative sequence analysis

Reduction In Total Harmonic Distortion Using Active Power Filters

Improvement on Power Transformer Protection using MATLAB Simulink and Fuzzy Logic

A CONTROL TECHNIQUE FOR INSTANT MITIGATION OF VOLTAGE SAG/SWELL BY DYNAMIC VOLTAGE RESTORER

MITIGATION OF VOLTAGE SAGS/SWELLS USING DYNAMIC VOLTAGE RESTORER (DVR)

Smart Busbar Protection Based ANFIS Technique for Substations and Power Plants

Power Quality Improvement using Shunt Passive Filter

Power Quality Improvement in Distribution System Using D-STATCOM

Design of SVPWM Inverter for Induction Motor Drive Using PID Controller

Performance Analysis of Traditional and Improved Transformer Differential Protective Relays

IDENTIFYING TYPES OF SIMULTANEOUS FAULT IN TRANSMISSION LINE USING DISCRETE WAVELET TRANSFORM AND FUZZY LOGIC ALGORITHM

Power Quality Improvement of Distribution Network for Non-Linear Loads using Inductive Active Filtering Method Suresh Reddy D 1 Chidananda G Yajaman 2

Transcription:

A New Method for Differential Protection in Power Transformer Harjit Singh Kainth* Gagandeep Sharma** *M.Tech Student, ** Assistant Professor (Electrical Engg. Department) Abstract: - This paper presents design a Clark transformation based technique for protection of transformer. It improves and enhances the sensitivity of the operation of the digital differential relay that protects Power Transformers by discriminating between inrush current and fault current. The proposed method has been simulated with MATLAB/SIMULINK with different test of operations. Key words: differential protection, Clarke transforms. I. INTRODUCTION Power transformer is one of the most important components in power system, for which many kinds of protective and monitoring schemes have been developed for many years. A power transformer is a very expensive electrical device, and its operation directly affects the performance of other equipment to which it is connected. Therefore it is necessary to use efficient protection schemes and monitoring systems in order to ensure its physical integrity, as well as a long operating lifetime. The protection of Transformers is critical phenomenon. Traditionally, transformer protection methods that use its terminal behaviour are based on differential protection is considered as a most widely used technique to perform the protection function. The differential protection scheme can be used to protect both the primary and secondary windings of a three-phase transformer against faults. The method fundamentally based on the discrimination between faults and other operating conditions [1]. The Power Transformer protection method should avoid and block the tripping of Differential relay during Magnetizing Inrush and should rapidly operate the relay tripping during internal faults. As a result it is essential to choose a proper DAV Institute of Engineering and Technology, Jalandhar harjit.gne@gmail.com* gagandavietee@gmail.com** identification scheme which can discriminate and distinguishes the Magnetizing inrush and internal fault current while a new Power Transformer is being installed by power companies. The scholars have studied a lot, some conventional techniques to distinguish between inrush current and internal fault currents in transformers are reported here based on different principles. The second harmonic restraint method is the most common one used by various relay manufacturers and application engineers. There are a small number of variations of harmonic restrained differential protection. In [2] author investigates the factors affecting the second harmonic ratio in inrush current. Fifth Harmonic blockade technique is proposed in [3].The wavelet Packets (WPT) algorithm approach for determining different types of currents in [4]. The combination of hidden Markov models (HMM) and wavelet transform (WT) to discriminate between magnetizing inrush currents and internal faults is proposed in [5].Then the techniques to increase consistency, speed and robustness of existing digital relays come into existence are ANN approach, Fuzzy logic and adaptive fuzzy-neuro approaches. In [6] the author recommended fuzzy logic for internal fault detection in differential protection. In [7] the author developed a new method of discrimination based on artificial neural network. The work reported in [8] demonstrated the use of an Artificial Neural Network (ANN) as a pattern classifier for differential relay operation. Under ANN, one strong method to discriminate between inrush and internal fault current is Probabilistic neural network (PNN) [9]. The paper [10] presents a new inrush detector algorithm for differential protection of power transformer based on the fuzzy-neuro method. The paper [11] work on Fuzzy-Neuro techniques in order to ensures relay stability against sympathetic inrush, external faults, magnetizing inrush over

excitation conditions and its action on internal faults. A. Definition of differential protection The fundamental operating principle of transformer differential protection is based on comparison of the transformer primary and secondary winding currents. For an ideal transformer, having a 1:1 ratio and neglecting magnetizing current, the currents entering and leaving the transformer must be equal. The differential relay actually compares between primary current and secondary current of power transformer, if any unbalance encountered in between primary and secondary currents the relay will actuate and inter trip both the primary and secondary circuit breaker of the transformer. Consider that you have one transformer which has primary rated current I P and secondary current I S.If you install CT of ratio I P /1 A at primary side and similarly, CT of ratio I S /1 A at secondary side of the transformer. The secondaries of these both CTs are linked together in such a manner that secondary currents of both CTs will oppose each other. This can be explain in other way as, the secondary s of both CTs should be connected to same current coil of differential relay in such a opposite manner that there will be no resultant current in that coil in normal working condition of the transformer. But if any serious fault happens inside the transformer due to which the normal ratio of the transformer disturbed then the secondary current of both transformer will not remain the same and one resultant current will flow through the current coil of the differential relay, which will trigger the relay and inter trip both the primary and secondary circuit breakers. B. Mathematical model The current of the Current transformer located in the primary side of the power transformer I 1 = I P N 1 (1) Where: I P The primary side current of the power transformer, I 1 The secondary side current of CT 1 N 1 The number of turns in the secondary side of CT 1 In the same manner for the CT located at the secondary side of the power transformer, then the CT secondary current is: I 2 = I S N 2 (2) Where: I S The primary side current of the power transformer, I 2 The secondary side current of CT 1 N 2 The number of turns in the secondary side of CT 2 Figure 1. Differential protection for single phase two winding transformer Since the differential current is: I d = I 1 I 2 then, from equation (1) and equation (2) the differential current flowing in the relay operating coil current I d can be calculated as; So, I d = I P N 1 I S N 2 (3) If there is no internal fault occurring within the power transformer protected zone, the currents I 1 and I 2 are assumed equal in magnitude and opposite in direction. That means the differential current I d = 0 as presented in figure 2. The primary and secondary side current of the power transformer are related to each other by equation (4); I P I S = N S N P (4) Where: N P and N S : primary and secondary side turns of the power transformer, correspondingly Figure 2. Output currents of the CTs are equal in magnitude and opposite in direction If there is any fault in the power transformer protected zone, the currents I 1 and I 2 are no longer equal in magnitude and opposite in direction. That

means the differential current I d = I d θ has a significant value as shown in figure 3. Figure 3. Output currents of the CTs are not equal in magnitude and not opposite in direction The amount of current I d = I d θ induces the relay operating coil to operate in order to send a trip signal to the circuit breakers to isolate the transformer. II. PROPOSED METHODOLOGY This method is possible due to the first woman obtaining the Master degree in electrical engineering at the MIT. She was also the first woman hired by General Electric as an electrical engineer in the United States. Also in 1948 was the first woman nominated as Fellow at AIEE. The name of this extraordinary woman was Edith Clarke which method of transforming a three phase signal into a two phase signal is called: Clarke s transform. The Clarke s transformation is a well-known transformation presented by Edith Clarke in [42]. The Clarke transforms utilized three-phase currents: i a, i b and i c to calculate currents in the two-phase orthogonal stator axis: i a and i b. A. Mathematical Clarke transforms. The mathematical transformation of Clarke transform modifies three-phase system to a twophase orthogonal system: i α = 2 3 i a 1 3 (i b i c ) (5) i β = 2 3 (i b i c ) (6) i β = 2 3 (i a + i b + i c ) (7) i β = 1 3 i a + 2 3 i b (9) i a + i b + i c = 0 (10) B. Methodology 1. Very first we measuring the three phase current on both sides of transformer. 2. Then performing Clark transformation on these phase currents. The main idea of using Clarke s transformation is to carry out in a pattern-recognition process to discriminate certain conditions of transformers. 3. Then we find the difference between phase to phase transformed current. These giving the information about the pattern difference between phase to phase current. 4. By the analysis of this we developed a lookup function which is monitoring as: a. If the absolute instantaneous values of difference of transformed current for phase A and B are greater than 20 amp and for phase C is greater than 1e-3 amp then trips has to be released. OR b. If the absolute instantaneous values of difference of transformed current for phase A and B are greater than 50 amp and for phase C is greater than 1e-4 amp then trips has to be released. The proposed model requires very less hardware than as compared to the base paper. III. RESULTS With i a and i b components in an orthogonal reference frame and i o the homo polar component of the system. In many applications, the homo polar component is absent or is less important. In this way, in absence of homo polar component the space vector u = u a + ju b represents the original three-phase input signal. Consider now a particular case with i α superposed with i a and i a + i b + i c is zero, in this condition i a, i b and i c can be transformed to i α and i β with following mathematical transformation [12]: i α = i a (8) Figure 4.1: Magnetizing inrush

Figure 4.2: inrush with load Figure 4.3: A-G fault Figure 4.5: C-G fault Figure 4.6: A-B fault Figure 4.4: B-G fault Figure 4.7: B-C fault

Figure 4.8: C-A fault Fi1gure 4.9: ABC-G fault IV. CONCLUSION A MATLAB simulation of a laboratory power transformer is presented in this paper. As shown in the results this simulation is tested in many cases and for all cases it gave satisfactory results. This trip time (5.0000e-005 sec) is satisfactory in order to ensure that the algorithm will give a proper decision to discriminate between a fault current and an inrush current. On the other hand the relay is restrained in all the cases for the inrush current, normal load current or the external fault current. REFERENCES [1] Blackburn, J.L., Domin, T.J.: Protective relaying principles and applications, 2007. [2] Jialong Wang, Analysis of transformer inrush current and comparison of harmonic restraint methods in transformer protection Protective Relay Engineers, 2008 61st Annual Conference 1-3 April 2008 [3] Ouahdi Dris, Farag. M. Elmareimi and Rekina Fouad, Transformer differential protection scheme with internal faults detection algorithm using second harmonics restrain and fifth harmonics blocking logic [4] Iswadi HR, Redy Mardiana, Differential power transformer protection techniques using the wavelet packet transform approach Proceedings of the International Conference on Electrical Engineering and Informatics Institute Teknologi Bandung, Indonesia June 17-19, 2007 [5] Saeed Jazebi, Behrooz Vahidi and Seyed Hossenien A Novel Discriminative Approach Based on Hidden Markov Models and Wavelet Transform to Transformer Protection Journal imulation Vol 86 Issue 2 Feb 2010 [6] Iman Sepehri Rad, Mostafa Alinezhad, Seyed Esmaeel Naghibi and Mehrdad Ahmadi Kamarposhti Detection of Internal Fault in Differential Transformer Protection Based on Fuzzy Method, American Journal of Scientific Research ISSN 1450-223X Issue 32(2011), pp. 17-25 [7] SRParaskar, M.A.Beg, G.M.Dhole, Discrimination between Inrush and Fault in Transformer: ANN Approach International Journal of Advancements in Technology Vol 2, No 2 (April 2011) [8] Venkateshan and M. Senthil Kumar, Power transformer differential protection with neural network based on symmetrical component International journal of communication and Engineering, Vol 06 No.6 2012 [9] Manoj Tripathy, R P Maheshwari and H K Verma, Power Transformer Differential Protection based on optimal probabilistic Neural Network, IEEE transactions on power Delivery, Vol 25, No 1, 2010 [10] H. Khorashadi Zadeh, Mr Aghaebrahimi, A neuro- fuzzy technique for

discrimination between internal faults and magnetizing inrush currents in transformer Iranian Journal of Fuzzy Systems Vol. 2, No. 2, (2005) [11] Manoj Tripathy, R P Maheshwari and H K Verma, Neuro- fuzzy technique for power transformer protection Electric power components and system 2008. [12] Clarke & Park Transforms on the TMS320C2xx, Application Report. AUTHOR S PROFILE: Harjit Singh Kainth Received B.tech degree in Electrical Engg. from Guru Nanak Dev Engg. College Ludhiana. Presently pursuing my M.tech degree from DAVIET Jalandhar. Gagandeep Sharma Received B-tech degree and M.tech Degree in Electrical engineering from Guru Nanak Dev Engg. College, Ludhiana.Currently, he is pursuing his Ph.D from SLIET Longolwal. He is working as Assistant professor in Electrical Department in DAVIET from last 10 years. His main research interests include Electrical machines and Power Electronics.