The intelligent electricity distribution network (Smart Grid) is the backbone of the energy system.
Our energy system is amidst a radical transition, as millions of electric vehicles hit the roads and Terawatts of renewable energy capacity are installed in our grids.
Smarter equipment is needed for the Smart Grid to provide reliable integration of intermittent renewable energies and distributed energy resources.
LEM improves the grid by measuring electrical parameters allowing control rooms to automate, monitor remotely and share real-time equipment data.
The intelligent electricity network, also known as the smart grid, serves as the foundation for every smart city by accomplishing the following key functions:
Typical applications for smart grid solutions include:
This smart grid application example involves the utilization of flexible LEM ART Rogowski coil sensors in conjunction with a smart meter connected to the low-voltage (LV) side of a distribution transformer within an MV/LV substation.
The software embedded in the smart meter performs calculations based on the LV measurements, enabling the determination of many indicators very useful to identify the status of the electrical system. This information includes oil temperature, ageing rate, current values, and the power flow.
This innovative approach offers a more cost-effective distribution grid management without the need for additional sensors on the MV side. The smart meter, when coupled with the ART coils, achieves an overall accuracy better than 1%, increasing the accuracy of conventional Class 0.5 meters typically paired with Class 0.5 current transformers (CTs).
In the MV/LV substation, the power flow is transformed from medium to low voltage. Inside the low voltage board, the smart meter allows to monitor constantly the power quality and to plan the predictive maintenance. The three Rogowski sensors ART transmit the informations from the cables to the energy meter.
Advantages of distribution system operators include:
The Internet-of-Things (IoT) is exceptionally well-suited for the implementation of smart grids, primarily due to the extensive range requirements and the minimal data size required for transmission. Leveraging narrow-band RF, which is the standard for long-range communication, enables the development of an innovative remote energy monitoring solution. This solution involves deploying wireless energy meters for the remote monitoring of electrical equipment, incorporating hardware, M2M connectivity (such as LORA, SIGFOX, 3G/GPRS), and utilizing web services to manage the collected data, including history, alerts, graphs, statistics, etc.
This IoT solution streamlines network implementation and user installation, reduces infrastructure costs (eliminating the need for repeaters), and is typically compatible with existing solutions. The approach is particularly well-suited for IoT applications due to its small power payload, long-range requirements, and the minimal data size necessary for transmission. The IoT star network configuration is commonly employed in the deployment of smart grids.
The typical application for energy monitoring aims to identify energy consumption balance and analyze overconsumption to pinpoint areas that require attention. Each wireless energy meter (1), utilizing ATO (A) or ART (B), connects to the RF long-range internet (2) and transmits (3) maintenance data to a secure web server (4).
End-users can remotely monitor equipment usage, including cycles, working time, consumption, etc., and receive alerts when anomalies such as power loss or power peaks are detected (5). Devices with electrical motors, ventilators, pumps, and compressors are among the typical equipment with monitored energy consumption.
The advantages of this solution include the simplicity of installing ATO or ART, internet connectivity, real-time measurements, and the autonomy of the energy meter. The operating mode involves RMS current acquisition every 1s for 10s and sending current consumption statistics every 10 or 15 minutes.
Key advantages of IoT-based Remote Energy Monitoring:
New line current sensors enable utilities to monitor overhead distribution lines, maximizing their capacity and preventing clearance violations to enhance the reliability and efficiency of the MV Distribution Grid.
The monitoring of overhead power lines has become faster, easier, and more cost-effective with the advent of new Internet of Things (IoT) telecom networks such as NB-IoT and LPWAN. Utilizing a line sensor (1) installed between two MV poles (2), grid operators can visualize real-time current flow, optimizing power line capacity for improved electricity distribution. The wireless line sensor (1) transmits data through a telecom relay (3) to a secure cloud-based database (4) or an on-premises system. The energy management platform (5) can regulate, alert, and notify maintenance teams as needed. The latest line sensors leverage the LEM Rogowski coil ART (A) for current measurement, aging detection based on current levels, and prioritization of line capacity.
Previously, without visibility into the grid, the distributed renewable energy through an overhead line could lead to overloading (depicted in red). However, with the implementation of a three-phase line sensor system, excess power in one line can be redistributed to adjacent lines (shown in black), effectively reducing the initial line’s capacity to an acceptable level (depicted in blue). This optimized redistribution results in the maximization of the overall capacity output of the power grid (refer to figure 1).
Figure 1: Before and after line sensor installation
Moreover, the line sensor (designed for 1-35kV distribution grids) offers periodic time-synchronized measurements, enhancing situational awareness and operational efficiency. It provides information on current, including both amplitude and phase, as well as conductor surface temperature. The sensor also detects fault conditions, enabling swift identification and notification. In a meshed network, this three-phase line sensor system ensures real-time equalization among different lines. For AC measurement, the LEM ART split-core Rogowski coil is employed, offering several advantages, as summarized in the table below, compared to two other current measurement techniques used in the line sensor.
LEM provides innovative, accurate, reliable, easy-to install, non-intrusive smart grid sensors for better performance of the grid and smarter cities.
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Bandwidth | 20Hz - 6000Hz | 1500Hz | 1500Hz | 10Hz - 400Hz | 30Hz - 2000Hz | 300kHz - 420kHz | 320kHz | 50Hz - 60Hz | 50Hz - 60Hz | 2kHz | 100Hz | - | 100Hz | 20Hz - 6000Hz | 4kHz - 10kHz | 30kHz | 50kHz | 1000kHz |
Consumption | 30mA - 35mA | 350mA | 100mA | - | 30mA | - | - | - | - | 50mA | 80mA | 100mA | 400mA | 30mA | 20mA | 50mA | 0.35A | 80mA - 140mA |
Current Range Max | 2000A - 3000A | 5000A | 5000A | 5A - 2375A | 10A - 400A | - | - | 5A - 150A | 6A - 176.7A | 32A Per Phase +/- 150mA (leakage) | 80A 1000V DC | 20A - 400A | 400A & 600A 1000V DC | 600A - 1800A | 100A - 3000A | 20A | 12000A | 9000A |
Supply Voltage | 20V - 50V | 16V - 31V | 10V - 32V | 24V | 12V - 24V | Self Powered | Self Powered | Self Powered | 20V - 28V; Self Powered | 3.3V | +12, +24V DC | 20V - 50V | +12, +24V DC | 20V - 50V | 12V - 15V | 26V | 24V | 12V - 24 V |
Installation | On Primary Fastening | DIN Rail | DIN Rail | Panel / DIN Rail | Panel / DIN Rail | On Primary Fastening | On Primary Fastening | On Primary Fastening | DIN Rail / On Primary Fastening | 1 Phase - 2 Jumpers 3 Phases + N - 4 Jumpers | DIN Rail/ Screw Mounting | Panel / DIN Rail | DIN Rail/ Screw Mounting | Panel | Panel / On Primary Fastening | Panel | Panel | On Primary Fastening |
Output | Current | Current | Current | Current | Current | Voltage | Voltage | Current | Current | SPI + Analog Tripping Output | Ethernet HTTP REST | Current | Ethernet HTTP REST | Voltage | Current | Current | Current | Voltage |
Overall Accuracy | 1% | 0.5% | 0.5% | 1% | 1% | 0.5% | 0.5% | 1.5% | 1% - 1.5% | +/- 0.5mA @ 1mA | Class B (1%) | 1% - 2% | Class B (1%) | 1% | 2% | 2% - 5% | 0.06% | 0.5% |
Technology | Open Loop Hall Effect | Integrator | Integrator | Current Transformer | Prime Air- Core | Rogowski Coil | Rogowski Coil | Current Transformer | Current Transformer | Open Loop Fluxgate | Bi-directional Meter | Open Loop Hall Effect | Bi-directional Meter | Open Loop Hall Effect | Open Loop Hall Effect | Open Loop Hall Effect | Closed Loop Fluxgate | Open Loop |
A Rogowski Coil is used to create a flexible sensor that easily wraps around the conductor to be measured. It is made by a helical coil of wire with the lead from one end returning through the center of the coil to the other end, ensuring that both terminals are located at the same end of the coil. The length of the coil is chosen based on the relevant primary cable diameter to provide optimal transfer characteristics.
This technology offers precise detection of the rate of change (derivative) of the primary current, inducing a proportionate voltage at the terminals of the coil.
LEM products and processes comply with reference standards in the industry:
Based on our deep knowledge of applications and current measurement technologies, LEM develops both catalog and customized products which can be perfectly tailored to meet your needs in terms of performance, space requirement and cost
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