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Implementation of Automatic Meter Reading Technique using SYNC 2000 & SYNC 5000 in Indian Power System Conference Paper · March 2016 CITATIONS
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Proceedings of the 10thINDIACom; INDIACom-2016 2016 International Conference on “Computing for Sustainable Global Development”, 16th – 18th March, 2016 BharatiVidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA)
Implementation of Automatic Meter Reading Technique using SYNC 2000 & SYNC 5000 in Indian Power System Alok Jain
M.K.Verma
Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India Email Id:
[email protected]
Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India Email Id:
[email protected]
Abstract-In smart grid architecture, it is important to monitor from the control centre, consumers demand, voltage, frequency and power factor accurately, on regular basis. This may become possible with installation of smart meters, which records these variables and sends them to Central Data Collection System through fast satellite communication link. Smart meters give information regarding the consumption of energy in real time to all consumers through display device. To enable remote monitoring of substations, Automatic Meter Reading (AMR) may be interfaced by Data Collecting Devices (DCDs) installed at substations, which may further be transmitted to Central Data Collection System through two-way communication link. In this paper, a case study has been performed on smart meter installed by Kalkitech’s in south area of Delhi. The case studies reported in this paper, compares measurements obtained from an existing special energy meter with smart energy meter. Working methodology and approach of AMR system with different communication devices and their protocols i.e. SYNC 2000 & SYNC 5000 has been presented.
infrastructure which would make it bidirectional. The communication network can be wired like Ethernet, Power Line Carrier (PLC) or wireless like Wireless Fidelity (WIFI), Global System for Mobile (GSM), Zigbee. Radio Frequency (RF) and Power Line Carrier (PLC) communication have generally been used [3]. Implementation of AMR using PLC has been used in measuring gas, electricity and water consumption in most of the countries, as complexity and cost reduces. For interfacing smart meters [4] and managing collection of data globally and automating billing, a wireless energy meter with its communication capabilities is designed which monitors the meter readings regularly without manual intervention. Furthermore, a new technology is also implemented that works on Short Message Services (SMS), which intimates the customers about the consumption of their energy via a short SMS [5]. The technology called Bluetooth wireless sensor network is used for the collection of widely distributed sensors, monitors energy used at each home and passes all stored data through the communication network to a control centre. This system consists of meters, relay, a ZigBee operated wireless sensor network and GSM [6]. A prototype Automatic Meter Reading system using power lines and frequency shift has been proposed [7]. Optimal rescheduling of residential micro-grid based on readings obtained from smart energy meters has been considered where temperature dependent loads have been included [8]. The communication existing between the data concentrator and data collectors can also be implemented using PLC in an AMR system connected to master station through GPRS. To reduce Aggregate Technical and Commercial (AT&C) losses in power distribution sector, an AMR system based on General Packet Radio Service (GPRS) technique [9], where smart metering system is interfaced with PV energy system and data acquisition, may be helpful. Home automation special and smart energy meter has been presented [10]. A new framework has been
Keywords - AMR, Central data collection system, DCDs, Smart grid, Smart meters. I. INTRODUCTION For efficient monitoring and control of consumers in real time, existing Special Energy Meters are to be replaced by Smart Energy Meters which are to be accessible to distribution control centre through communication link [1]. Distribution control centre could have application softwares which include billing, addressing power quality issues. Smart meters are able to send their readings over communication lines [2] and recognize addresses to activate/deactivate internal modules. To have that capability, Automatic Meter Reading (AMR) requires a specific
Proceedings of the 10thINDIACom; INDIACom-2016 3 2016 International Conference on “Computing for Sustainable Global Development”, 16th – 18th March, 2016 rd
developed by using hidden Markov model that manages end user privacy in measurements through meters [11]. A cost effective energy management system is also designed that uses rechargeable battery [12] or by using different protocol like EPPP4SMS [13]. Smart grid pilot programs are presented with regards to smart grid technologies in which utilities can interact with customer meters and provide solutions for improvement [14]. Standalone AMR system has been proposed that enables control of AMR using SCADA system [15] and also realizes some of the smart grid goals [16]. For smart metering, different protocols have been presented that implements IPv6 allowing maximum flexibility [17]. Smart home energy management using Zigbee communication has been proposed [18]. A digital technology that includes Zigbee and WIFI for home automation has been proposed [19]. Non-intrusive load monitoring (NILM) has been suggested to determine the operation of individual loads in buildings [20] which also tracks power consumption. A smart metering device that can be designed based on waveform based estimator to determine power consumed by variable power demands, has been proposed [21]. The implementation of electric energy quality has been proposed [22]. The integration of AMR technology with the outage management system has been presented [23]. Smart meters for hydro system have been proposed [24]. Automatic Meter Reading (AMR) with its interface meters (Smart Energy Meters or SEM) and Data Collection from Data Collecting Devices (DCDs) at substations may be quite fruitful in monitoring consumers. Implementation of these projects would instill India with advanced capabilities of remote monitoring and control of its substations, with centralized data collection &processing, and this would reduce the maintenance and monitoring costs over time, thereby improving overall efficiency of the grid. In this paper, a case study for implementing an AMR project is presented that has been carried out in south area of Delhi. This project proposes a use of SYNC interface communication unit i.e. SYNC 2000 data concentrator unit and SYNC 5000 meter data acquisition system. These units may collect the data from the meters, convert it into the DLMS protocol and transmit it to the Northern Regional Load Dispatch Center (NRLDC), which may act as the Central Data Collection System (CDCS).
IEC 101/102/103, DNP 3 and DLMS. It has wide applications both in the transmission & distribution systems. It comprises of different protocols like DLMS, Linux operating system, Modbus. It also supports Virtual Private Network (VPN) connection and latest 3G and GPRS technologies. Fig. 1 shows the SYNC 2000 that includes 1 Ethernet and 6 serial ports that help in input-output expansion, support and diagnosis. This device is used to connect all the down-stream devices to the SCADA or control systems.
Fig. 1. SYNC 2000 protocol gateway
B. SYNC 5000 SYNC 5000 is head end software that helps in automatic meter reading with the analysis of the stored data through smart meters. It is also called Meter Data Acquisition System (MDAS), which performs automatic meter reading through end to end metering, at the consumer side metering, Demand Side Management (DSM), and also in grid metering using communication media like GPRS, GSM, Code Division Multiple Access (CDMA), RS232 etc. It generally supports up to maximum of one lakh meters at the consumer side and up to 5000 meters at the grid side. It supports different protocols like IEC-61850, IEC101/102/103, DNP 3 and DLMS. Data collected from the smart meters get stored in center data base management system permanently, in case if there is any failure. Fig. 2 shows SYNC 5000 that helps in AMR.
II. PROTOCOLS GATEWAY USED Two types of field gateway converter may be used as a communication controller in smart grid that supports different types of protocols such as IEC 61850, IEC 101/102/103, DNP 3 and DLMS. The two field gateway converters are presented below. Fig. 2 SYNC 5000 high end MDAS
A. SYNC 2000 SYNC 2000 is generally used protocol gateway controller that supports different types of protocols like- IEC 61850,
Implementation of Automatic Meter Reading technique using SYNC 2000 & SYNC 5000 in Indian Power System
III. METHODOLOGY AND APPROACH The existing special energy meters are microprocessor based energy meters as shown in Fig. 3. These meters have non-volatile memory which can store the data. Data recorded by the meters is converted to the readable text file form for computation &analysis and then, is emailed to the load dispatch centre. Due to remote location of number of substations, data measured from special energy meters are to be transmitted via a USB device to the nearest town from where these are to be mailed to load dispatch centre on a weekly basis. Since, readings are manually taken from special energy meters and mailed to load dispatch centre, it may lead to human errors. Such errors may result in loss of revenue. Smart energy meter utilizing 3G communication media GPRS technique forms two way communications between substation and control centre. It automatically sends the data via a communication GPRS media at an instant to the load dispatch centre. Fig. 4 shows the smart meter installed at one of the site of Northern Regional Load Dispatch Centre (NRLDC), that record and stores the consumption of electric energy and sends to control center via communication media.
Fig. 3. Existing special energy meter
In case of Existing meters the data is recorded in every block:• Net Active Energy (Wh) in 15 min. • Average (Ave.) Frequency (f) is 15 min, and it records the frequency ranging from: 49Hz
