Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges
Abstract
:1. Introduction
2. Organizations and Alliances Involved in the Development of BPL Technologies
2.1. Broadband Forum
2.2. HomeGrid Forum
2.3. High Definition Power Line Communication (HD-PLC) Alliance
2.4. HomePlug Alliance
2.5. PoweRline Intelligent Metering Evolution (PRIME) Alliance
3. PLC Standardization
3.1. International Telecommunication Union (ITU)
- ITU-T Rec. G.9960: Unified high-speed wireline-based home networking transceivers—system architecture and physical layer specification [23];
- ITU-T Rec. G.9961: Unified high-speed wireline-based home networking transceivers—data link layer specification [24];
- ITU-T Rec. G.9962 (G.hn-MGM): Unified high-speed wire-line based home networking transceivers—management specification [25];
- ITU-T Rec. G.9963 (G.MIMO): Unified high-speed wireline-based home networking transceivers—multiple input/multiple output specification [26];
- ITU-T Rec. G.9964 (G.hn-PSD): Unified high-speed wireline-based home networking transceivers—power spectral density specification [27].
- ITU-T Rec. G.9972 (G.cx): coexistence mechanism for wireline home networking transceivers [28];
- ITU-T Rec. G.9977: mitigation of interferences between DSL and PLC [29];
- ITU-T Rec. G.9978: secure admission in a G.hn network [30];
- ITU-T Rec. G.9979: implementation of the generic mechanism in the IEEE 1905.1a-2014 standard to include applicable ITU-T recommendations [31];
- ITU-T Rec. G.9980 (G.cwmp): remote management of customer premises equipment over broadband networks—customer premises equipment WAN management protocol [32].
3.2. IEEE ComSoc, Power Line Communications Standards Committee (PLCSC)
3.3. International Organization for Standardization/International Electrotechnical Commission (ISO/IEC)
4. Fundamentals of BPL Technologies
4.1. Gigabit Home Networking (G.hn)
4.2. IEEE 1901
4.3. HD-PLC
4.4. HomePlug
4.5. Open PLC European Research Alliance (OPERA)
4.6. KS X 4600-1
4.7. Coexistence between BPL Technologies
4.8. Comparison of BPL Technologies
5. Regulatory Activities
5.1. Directives of General Application
5.2. Limits for Conducted Disturbance Emissions
5.3. Limits for Radiated Disturbance Emissions
5.4. Limits for PLC Transmitted Signals
5.5. Immunity Requirements
- Power-frequency magnetic field of 50 Hz;
- Radio-frequency electromagnetic field amplitude modulated;
- Electrostatic discharge;
- Radio-frequency continuous conducted common mode;
- Voltage dips and interrupts;
- Surges;
- Electrical fast transients.
6. Applications of BPL
6.1. Smart Metering
- A Smart Meter (SM) using BPL communication. In this case, the SM integrates the BPL functions for communicating with external data concentrators or head end systems. Hence, BPL technology enables high bandwidth for the smart meter’s communication, allowing Internet Protocol (IP) stack integration. Given the possibilities of the BPL technology, the meter can also encapsulate the traffic of water and gas meters, which can be connected through wireless M-Bus or serial local links to the SM. In this scenario, the AMI infrastructure is fully based on BPL technology, based on the SM.
- A Smart Meter Gateway. In some scenarios, instead of integrating the BPL transmitter/receiver inside the SM, a device called a gateway behaves as a BPL node of the network. The gateway is connected to the SM through its serial connection, and it is in charge of encapsulating the metering traffic into the BPL network. This approach has the advantage of differentiating the devices of metrology and communication infrastructures in separated modules. The gateway may also behave as an intelligent device to connect water meters, gas meters, in-home displays, or even dynamic charges.
- A BPL concentrator of NB-PLC SMs. NB-PLC technology has been proven to be effective at deploying smart metering infrastructures. Nevertheless, as they are low data rate shared transmission networks, in dense environments, the enhanced capacities of BPL can provide an important performance boost with respect to NB-PLC. A reduction in the number of nodes (the number of NB-PLC devices) of each NB-PLC subnetwork provides an effective communication speed-up, as the bandwidth is shared by a reduced number of nodes. Then, a special Gateway encapsulates the NB-PLC traffic into BPL within each centralization node, to provide connectivity to an external data concentrator or head-end system.
6.2. Grid Automation
- Communications with Remote Terminal Units (RTU). The use of BPL in MV lines for SCADA access to RTUs has been used in environments where the use of other communication technologies was not feasible, mainly as a complementary communication technology for access to RTU equipment in remote areas. There are implementations using the 100 kHz–1 MHz frequency range with Spread Spectrum modulation. Later, applications moved to the traditional range from 2 MHz to 25–30 MHz, with OFDM modulations. There are also some implementations based on narrowband G3 PLC technology [73] or HomePlug [75].
- The collection of measurements from grid sensors to control centers or adjacent substations. With the growing deployment of renewable energy sources, it has become necessary to transfer greater amounts of information between the DERs, e.g., PV or wind energy plants, and the substation, to control the injection of energy into the grid. The use of a higher number of sensors, to obtain a more complete and detailed information, demands communication technologies that allow higher data rates and lower latency times. BPL technologies are a good option for such scenarios.
- Energy Control. The use of BPL for the control and monitoring of solar panels has also been applied, mainly for the remote control of the panel tilt to maximize the sun exposure. Real-time monitoring also enables maintenance monitoring, the detection of silicon degradation/need for cell replacement, weather conditions, theft detection, and power output/efficiency.
6.3. Electric Vehicle (EV)
6.4. Distributed Generation
6.5. Smart City Services
6.6. Industrial Applications
6.7. IoT Services
- Low cost and low consumption, in line with IoT-wireless approaches;
- Low complexity, that is, easy deployments;
- Noise immunity, which is especially important in industrial sites or in locations with high levels of interference;
- Reliability, to guarantee communications at any time;
- Very low value latency and jitter, increasing the availability and allowance of a very high number of nodes, and therefore maximizing the number of potential connected assets.
6.8. Grid Monitoring
7. Challenges for BPL
7.1. Limitations of the Propagation Medium
7.2. Grid Impedance
7.3. Noise and Non-Intentional Emissions (NIEs)
7.4. Channel Modelling and Transmission Losses
7.5. Cybersecurity
- The propagated data related to the users’ consumption are sensitive as they provide private information about the use patterns and the periods when users are out of the home.
- The data about the grid power quality and the state of the network are sensitive data for the utility.
8. Conclusions
Funding
Conflicts of Interest
References
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Technology | Data Rate | Frequency Band | Codes | Modulations | Media Access Control | |
---|---|---|---|---|---|---|
G.hn | G.hn LCP | 5–20 Mbps | 2–25 MHz | LDPC | FFT-OFDM/QPSK | TDMA |
G.hn | 1 Gbps | 2–100 MHz | FFT-OFDM/QAM | |||
IEEE 1901 | 2010 FFT | >100 Mbps | 1.8–50 MHz | Turbo Convolutional code | FFT-OFDM/BPSK, QPSK, 8 QAM, 16 QAM, 32 QAM, 64 QAM, 1024 QAM, 4096 QAM | TDMA, CSMA/CA |
2010 Single Channel Wavelet (Baseband) | >100 Mbps | 1.8–28 MHz (optional 30–50 MHz) | Reed–Solomon, Convolutional code (Viterbi), LDPC | Wavelet-OFDM/2-PAM, 4-PAM, 8-PAM, 16-PAM, 32-PAM (high-speed mode) | ||
Wavelet-OFDM/2-PAM (diversity mode) | ||||||
2010 Single Channel Wavelet (Bandpass) | >100 Mbps | 1.8–50 MHz | Reed–Solomon, Convolutional code (Viterbi), LDPC | Wavelet-OFDM/2-PAM, 4-PAM, 8-PAM, 16-PAM, 32-PAM (high-speed mode) | ||
Wavelet-OFDM/2-PAM (diversity mode) | ||||||
2020 Flexible Channel Wavelet | >100 Mbps | 1.8–28 MHz (optional 31.25–62.5 MHz) | Reed–Solomon, Convolutional code (Viterbi), LDPC | Wavelet-OFDM/2-PAM, 4-PAM, 8-PAM, 16-PAM, 32-PAM (high-speed mode) | ||
Wavelet-OFDM/2-PAM (diversity mode) | ||||||
HD-PLC | 1st gen. | 190 Mbps | 4–28 MHz | Reed–Solomon, Convolutional code (Viterbi), LDPC | Wavelet-OFDM | CSMA/CA |
2nd gen. | 210 Mbps | 2–28 MHz | ||||
IEEE 1901–2010 (3rd gen. Complete) | 240 Mbps | 2–28 MHz | ||||
ITU-T G.9905 (3rd gen. Multi-hop) | 240 Mbps | 2–28 MHz | ||||
IEEE 1901–2020 (4th gen.) | 1 Gbps | 2–100 MHz | ||||
HomePlug | 1.0 | 14 Mbps | 4.5–21 MHz | Viterbi Reed–Solomon | FFT-OFDM/DBPSK, DQPSK | CSMA/CA |
AV 1.0 | 200 Mbps | 2–28 MHz | Turbo Convolutional Codes | FFT-OFDM/DBPSK, DQPSK, 16 QAM, 64 QAM, 256 AM, 1024 QAM | TDMA, CSMA/CA | |
AV 1.1 | 200 Mbps | |||||
AV 2.0 | 1.5 Gbps | 1.8–86.3 MHz | Turbo Convolutional Codes | FFT-OFDM/DBPSK, QPSK, 16 QAM, 64 QAM, 256 QAM, 1024 QAM, 4096 QAM | TDMA, CSMA/CA | |
Green PHY | 10 Mbps | 2–30 MHz | Turbo Codes | FFT-OFDM/QPSK | CSMA/CA | |
OPERA | 200 Mbps | 2–30 MHz | Reed–Solomon | OFDM/ADPSK Truncated four-dimensional Trellis coded | TDMA | |
KS X 4600-1 | Class A | 24 Mbps | 2.15–23.15 MHz | Reed–Solomon Convolutional Coding | DBPSK, DQPSK, D8PSK | CSMA/CA |
Class B | 200 Mbps |
Frequency Range (MHz) | Limits (dBµV) | |
---|---|---|
Quasi-Peak | Average | |
0.15 to 0.50 | 66 to 56 | 56 to 46 |
0.50 to 5 | 56 | 46 |
5 to 30 | 60 | 50 |
Frequency Range (MHz) | Measurement | Class B Limits (dBµV/m) | ||
---|---|---|---|---|
Equipment | Distance (m) | Type of Detector/Bandwidth | ||
30 to 230 | OATS/SAC | 10 | Quasi-peak/120 kHz | 30 |
230 to 1000 | 37 | |||
30 to 230 | OATS/SAC | 3 | 40 | |
230 to 1000 | 47 | |||
30 to 230 | FAR | 10 | Quasi-peak/120 kHz | 32 a 25 |
230 to 1000 | 32 | |||
30 to 230 | FAR | 3 | 42 a 35 | |
230 to 1000 | 42 |
Symmetrical Mode Insertion Loss EUT to AE in dB | 10 | 20 | ≥40 |
Maximum transmit signal level in dB (μV) (AV) | 65 | 75 | 95 |
Maximum transmit signal level in dB (μV) (PK) | 75 | 85 | 105 |
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González-Ramos, J.; Uribe-Pérez, N.; Sendin, A.; Gil, D.; de la Vega, D.; Fernández, I.; Núñez, I.J. Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges. Sensors 2022, 22, 4348. https://doi.org/10.3390/s22124348
González-Ramos J, Uribe-Pérez N, Sendin A, Gil D, de la Vega D, Fernández I, Núñez IJ. Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges. Sensors. 2022; 22(12):4348. https://doi.org/10.3390/s22124348
Chicago/Turabian StyleGonzález-Ramos, Jon, Noelia Uribe-Pérez, Alberto Sendin, David Gil, David de la Vega, Igor Fernández, and Ignacio Javier Núñez. 2022. "Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges" Sensors 22, no. 12: 4348. https://doi.org/10.3390/s22124348
APA StyleGonzález-Ramos, J., Uribe-Pérez, N., Sendin, A., Gil, D., de la Vega, D., Fernández, I., & Núñez, I. J. (2022). Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges. Sensors, 22(12), 4348. https://doi.org/10.3390/s22124348