The Experts below are selected from a list of 11238 Experts worldwide ranked by ideXlab platform

Gajanan C. Jaiswal - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent condition monitoring system for Distribution Transformer and health status diagnosis
    2018 International Conference on Power Instrumentation Control and Computing (PICC), 2018
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal, Puvvadi Vishnu
    Abstract:

    Distribution Transformers are one of the most important equipment in power system network. As large number of Distribution Transformers distributed over a wide area in power electric system, the preventive diagnosis and maintenance of these Transformers have become more and more essential in recent time in order to improve the reliability of electric power systems. Most of the Distribution Transformers in field actually fail due to leakages in Transformer oil, overloading, sudden rise in temperature and lack of timely maintenance. To overcome such problem proper monitoring of Distribution Transformer health status from remote end is necessary. This paper presents the techniques used for monitoring the health status of Distribution Transformer from remote end. The intelligent condition monitoring system is developed using single board computer and data acquisition system which senses different parameters and communicated to the remote end using internet facility. The health status and economical aspect of Distribution Transformer with intelligent condition monitoring system which provides necessary information about operating condition for analysis. The performance of intelligent condition monitoring system is tested on specially designed 15 kVA Distribution Transformer in the laboratory. Distribution Transformers with intelligent condition monitoring system can be provided for maintenance as and when required.

  • ANN based methodology for determination of Distribution Transformer health status
    2017 7th International Conference on Power Systems (ICPS), 2017
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal, D. R. Tutakne
    Abstract:

    The objective of this research paper is to utilize artificial neural network for evaluation of the Distribution Transformer health status by utilizing real measurement from working Distribution Transformers. The calculated health status is utilized for assessment of the Distribution Transformer health condition. The author has utilized the real data collected from the field to find out the health status of Distribution Transformer. The real data for diagnostic tests is taken from power Distribution utility in the Nagpur rural area. The diagnostic data are voltage, load current, Transformer oil level and top oil temperature. The training of the ANN has done by using real measurements of the Distribution Transformers. The real data is utilized for testing of trained neural network performance for working Distribution Transformer. The performance evaluation is tested on specially designed 15 kVA, 400/400 V three phase Distribution Transformer in the laboratory which indicates that the trained neural network is reliable for detecting the health status of any working Distribution Transformer.

  • Oil level assessment of Distribution Transformer by development of Capacitance Model
    2016 IEEE 6th International Conference on Power Systems (ICPS), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    Distribution Transformers are one of the most important equipment in power system network. Distribution Transformer failures can be broadly categorized due to electrical and/or mechanical faults. Preventive diagnosis and maintenance of Transformer have become more and more popular in recent time in order to improve the reliability of electric power system. It is experienced by the power utility engineers that the Distribution Transformer failure occurs mainly due to overload condition and improper cooling agent (oil) level in Distribution Transformer. This paper presents Capacitance Model which is developed by taking actual data of the Distribution Transformer connected in Maharashtra State Electricity Distribution Company Limited (MSEDCL). The oil leakage problem in terms of oil level in Distribution Transformer can be detected by developing capacitance modeling as well as by Newton's cooling law.

  • Health index based condition monitoring of Distribution Transformer
    2016 IEEE International Conference on Power Electronics Drives and Energy Systems (PEDES), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    Distribution Transformer is equipment which plays very important role in the power Distribution system. Because of, presence of the large number of Transformers and various components over a wide area in power systems, the condition monitoring of health and automatic controlling of Distribution Transformers are important issues. This paper presents fuzzy logic approach towards monitor as well as diagnose the condition of Distribution Transformers, like load current, Transformer oil and voltages. The suggested scheme will help to detect the internal fault of Distribution Transformer and also diagnose the faults with the help of defined range of parameters. On the performance of these parameters health of Distribution Transformer is observed and decisions taken for whether to keep Distribution Transformer in service or go for maintenance.

  • Impact of power quality on the performance of Distribution Transformer
    2016 IEEE International Conference on Power Electronics Drives and Energy Systems (PEDES), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    The power quality (PQ) of a system expresses to which degree a practical supply system resembles the ideal supply system. Power quality is an issue that is becoming increasingly important to electricity users at all level of usage. Sensitive equipment and non-linear loads are now more common in industrial, commercial, agricultural and domestic environment. Because of this, a heightened awareness of power quality is developing amongst electricity consumers. This paper presents the fuzzy system to determine the power quality. The performance of three-phase, 15 kVA, 400/400 V Distribution Transformer is observed for different power quality condition in laboratory. The power quality is in terms of voltage is disturbed for experimental purpose. It is observed that the fuzzy system is able to make accurate diagnosis of power quality. It is also observed that as the power quality become poor, the Distribution Transformer efficiency decreases, causing significant reduction in performance of Distribution Transformer and thereby rise in utility losses.

Yang Liang - One of the best experts on this subject based on the ideXlab platform.

  • Soft start-up scheme for the hybrid Distribution Transformer
    The Journal of Engineering, 2019
    Co-Authors: Deliang Liang, Yang Liang, Mingkang Zhang, Qixu Chen, Qingshan Wang
    Abstract:

    Hybrid Distribution Transformer (HDT) is an integrated system of the conventional Distribution Transformer and the PWM converters, which can greatly enhance the controllability of the conventional Distribution Transformer and is important for the intelligence of the future Distribution network, since HDT can support the AC–DC power network and control the voltage and current in real time. However, the impact current, over voltage, and saturation will lead to the start-up failure when an incorrect start-up scheme is adopted in HDT. Therefore, it is significant to design a reliable start-up scheme to guarantee a safe operation for HDT. Here, a three-phase circuit scheme and the control system of HDT are proposed. Then, a soft start-up scheme that can realise the constant-current charging for the DC bus capacitor is proposed. Specifically, the soft start-up scheme is based on the following measures, bypassing the DC-bus current-limiting resistors when the voltage of DC-bus capacitor exceeds the threshold, limiting the output of PI controllers during the start-up, separating the integral coefficient according to the DC-bus voltage error. Finally, the proposed start-up scheme is verified in MATLAB, which lays the foundation for the optimal design of the start-up scheme of HDT.

  • analysis on technical performance of amorphous core Distribution Transformer
    Power system technology, 2010
    Co-Authors: Yang Liang
    Abstract:

    Amorphous core Distribution Transformer is a type of energy-saving Distribution equipment adopting new materials,new structure and new technology. Its core is made of amorphous alloy material,so that the no-load loss of this type of Distribution Transformers is much lower than that of traditional Distribution Transformers,which adopt the cores made of conventional laminated silicon steel sheets. The architectural characteristic of amorphous core Distribution Transformer and its sensitivity to mechanical stress are presented; its performance parameters as well as the stability of its low no-load loss characteristics are analyzed; the relation between active loss rate of SH15 type of amorphous core Distribution Transformer and load factor is discussed; the efficiency characteristics and annual synthetical loss of SH15 type of amorphous core Distribution Transformer are analyzed and compared with those of S11 type of Distribution Transformer,and the results are available for reference in the evaluation of technical performances of amorphous core Distribution Transformer.

S. B. Deosarkar - One of the best experts on this subject based on the ideXlab platform.

  • Health condition monitoring system for Distribution Transformer using Internet of Things (IoT)
    2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017
    Co-Authors: Rohit R. Pawar, S. B. Deosarkar
    Abstract:

    Electrical Transformers are the important elements in the process of transmission and Distribution of electricity. Transformer is one of the important and costliest components of electrical industry. As we know, Distribution Transformer is a major component of power system and it's correct functioning is vital to system operations. This paper presents the development of a mobile embedded system, to monitor and record parameters of a Distribution Transformer like Current, Temperature, Rise or Fall of Oil level, Vibration and Humidity. Remote terminal unit is installed at the Distribution Transformer site and above parameters are processed and recorded using-in-8-channel analog to digital converter (ADC) of the embedded system in the system memory. If any abnormality occurs, the system sends alert messages to the mobile phones as well as monitoring units which containing information about abnormality to some predefined instructions programmed in the microcontroller. Also it is important to keep an eye on Transformer health when operator is not present at Transformer site, so we are introducing embedded system named as two way communication systems between Transformer and operator. This system is designed to send alert messages, whenever related parameters value exceeds the predefined limits. This system proposes a compact design and development of remote monitoring system, for a Distribution Transformer. The main objective of this project is to develop mobile embedded system will help the utilities to optimally utilize the protection of power line of Transformer and identify problems before any catastrophic failure.

  • Distribution Transformer monitoring system using Internet of Things (IoT)
    2017 International Conference on Computational Intelligence in Data Science(ICCIDS), 2017
    Co-Authors: Rohit R. Pawar, Priyanka A. Wagh, S. B. Deosarkar
    Abstract:

    Transformers are used for electricity Distribution and transmission which reduces the primary voltage to the utilization voltage for customer use. As Distribution Transformers are very costlier in electrical industry therefore this paper presents the system which monitor different parameters of Distribution Transformer. There are two units which are remote terminal unit (RTU) and monitoring unit. Remote terminal unit consist of analyzing parameters such as current, temperature, rise and fall in oil level, vibration and humidity with the help of PIC 18F4550. All monitoring parameters are processed and if any abnormality occurs, the system sends Alert messages to the mobile phones and recorded in system memory through (ADC) analog to digital converter. All parameters values are send to monitoring node through GPRS. If any emergency condition occurs immediately message send to the corresponding engineer through GSM and similarly on webpage we can get alert about it through GPRS. Near remote terminal unit buzzer will beep and LCD gives notification about emergency condition. An engineer at Transformer cannot continuously keep an eye on Transformer therefore given proposed system does communication with us at emergency conditions of Distribution Transformer through GSM/ GPRS module.

Makarand Sudhakar Ballal - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent condition monitoring system for Distribution Transformer and health status diagnosis
    2018 International Conference on Power Instrumentation Control and Computing (PICC), 2018
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal, Puvvadi Vishnu
    Abstract:

    Distribution Transformers are one of the most important equipment in power system network. As large number of Distribution Transformers distributed over a wide area in power electric system, the preventive diagnosis and maintenance of these Transformers have become more and more essential in recent time in order to improve the reliability of electric power systems. Most of the Distribution Transformers in field actually fail due to leakages in Transformer oil, overloading, sudden rise in temperature and lack of timely maintenance. To overcome such problem proper monitoring of Distribution Transformer health status from remote end is necessary. This paper presents the techniques used for monitoring the health status of Distribution Transformer from remote end. The intelligent condition monitoring system is developed using single board computer and data acquisition system which senses different parameters and communicated to the remote end using internet facility. The health status and economical aspect of Distribution Transformer with intelligent condition monitoring system which provides necessary information about operating condition for analysis. The performance of intelligent condition monitoring system is tested on specially designed 15 kVA Distribution Transformer in the laboratory. Distribution Transformers with intelligent condition monitoring system can be provided for maintenance as and when required.

  • ANN based methodology for determination of Distribution Transformer health status
    2017 7th International Conference on Power Systems (ICPS), 2017
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal, D. R. Tutakne
    Abstract:

    The objective of this research paper is to utilize artificial neural network for evaluation of the Distribution Transformer health status by utilizing real measurement from working Distribution Transformers. The calculated health status is utilized for assessment of the Distribution Transformer health condition. The author has utilized the real data collected from the field to find out the health status of Distribution Transformer. The real data for diagnostic tests is taken from power Distribution utility in the Nagpur rural area. The diagnostic data are voltage, load current, Transformer oil level and top oil temperature. The training of the ANN has done by using real measurements of the Distribution Transformers. The real data is utilized for testing of trained neural network performance for working Distribution Transformer. The performance evaluation is tested on specially designed 15 kVA, 400/400 V three phase Distribution Transformer in the laboratory which indicates that the trained neural network is reliable for detecting the health status of any working Distribution Transformer.

  • Oil level assessment of Distribution Transformer by development of Capacitance Model
    2016 IEEE 6th International Conference on Power Systems (ICPS), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    Distribution Transformers are one of the most important equipment in power system network. Distribution Transformer failures can be broadly categorized due to electrical and/or mechanical faults. Preventive diagnosis and maintenance of Transformer have become more and more popular in recent time in order to improve the reliability of electric power system. It is experienced by the power utility engineers that the Distribution Transformer failure occurs mainly due to overload condition and improper cooling agent (oil) level in Distribution Transformer. This paper presents Capacitance Model which is developed by taking actual data of the Distribution Transformer connected in Maharashtra State Electricity Distribution Company Limited (MSEDCL). The oil leakage problem in terms of oil level in Distribution Transformer can be detected by developing capacitance modeling as well as by Newton's cooling law.

  • Health index based condition monitoring of Distribution Transformer
    2016 IEEE International Conference on Power Electronics Drives and Energy Systems (PEDES), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    Distribution Transformer is equipment which plays very important role in the power Distribution system. Because of, presence of the large number of Transformers and various components over a wide area in power systems, the condition monitoring of health and automatic controlling of Distribution Transformers are important issues. This paper presents fuzzy logic approach towards monitor as well as diagnose the condition of Distribution Transformers, like load current, Transformer oil and voltages. The suggested scheme will help to detect the internal fault of Distribution Transformer and also diagnose the faults with the help of defined range of parameters. On the performance of these parameters health of Distribution Transformer is observed and decisions taken for whether to keep Distribution Transformer in service or go for maintenance.

  • Impact of power quality on the performance of Distribution Transformer
    2016 IEEE International Conference on Power Electronics Drives and Energy Systems (PEDES), 2016
    Co-Authors: Gajanan C. Jaiswal, Makarand Sudhakar Ballal
    Abstract:

    The power quality (PQ) of a system expresses to which degree a practical supply system resembles the ideal supply system. Power quality is an issue that is becoming increasingly important to electricity users at all level of usage. Sensitive equipment and non-linear loads are now more common in industrial, commercial, agricultural and domestic environment. Because of this, a heightened awareness of power quality is developing amongst electricity consumers. This paper presents the fuzzy system to determine the power quality. The performance of three-phase, 15 kVA, 400/400 V Distribution Transformer is observed for different power quality condition in laboratory. The power quality is in terms of voltage is disturbed for experimental purpose. It is observed that the fuzzy system is able to make accurate diagnosis of power quality. It is also observed that as the power quality become poor, the Distribution Transformer efficiency decreases, causing significant reduction in performance of Distribution Transformer and thereby rise in utility losses.

Kunpeng Zhou - One of the best experts on this subject based on the ideXlab platform.

  • A Dimension Reduction Method Used in Detecting Errors of Distribution Transformer Connectivity
    IEEE Access, 2020
    Co-Authors: Zeyang Tang, Yu Shen, Fan Yang, Kunpeng Zhou, Chengke Zhou
    Abstract:

    Many power utilities may have problems with the quality of data in records about which feeder a Distribution Transformer is connected to. This affects the operation and maintenance of smart grid infrastructure, outage management, line loss management, and workforce safety. The traditional manual way of verifying and updating the Distribution Transformer connectivity (DTC) is time-consuming and labor-intensive. Researchers have proposed the method which makes use of secondary side single-phase voltage of Distribution Transformers to verify DTC. However, when the windings of Distribution Transformers are yyn0 connected, the performance of the single-phase voltage method (SPVM) is unsatisfactory due to the unbalanced three-phase voltages. This paper proposed a dimension reduction method (DRM) that can convert the unbalanced three-phase voltage to a balanced voltage. The data which include 29 days' secondary side voltages of 3866 Distribution Transformers have been collected. The performances of the DRM and the SPVM have been compared. Results show that the DRM always has higher accuracy compared with SPVM. The influences of the maximum voltage difference and the reference Distribution Transformer have also been discussed. The DRM's results are more stable compared with SPVM.

  • Analysis of Distribution Transformer Load Rate And Loss in Regional Power Grid
    2018 China International Conference on Electricity Distribution (CICED), 2018
    Co-Authors: Wenna Wang, Kunpeng Zhou, Min Xu, Zhenting He
    Abstract:

    In this paper, load rate of 3917 sets of 10kV Distribution Transformers in regional power grid of Hubei Province during 2016 is statistically analyzed from four aspects, including the annual maximum load rate and the annual average load rate of single Distribution Transformer, as well as the mean of the daily maximum load rate and the mean of the daily average load rate of all Distribution Transformers. The loss of single Distribution Transformer and actual loss of all Distribution Transformers in regional power grid are studied. The conclusions can provide a reference for better understanding of actual operation of Distribution Transformer, and guiding operation and planning of Distribution network.