海思HPLC通信-新型电力系统首选技术 | 海思

海思HPLC助力新型电力系统建设

HiSilicon HPLC

Propelling New Power Systems

Discover HiSilicon HPLC Solution >

A new power system paradigm
has arrived! A new power system paradigm has arrived!
Clean

Clean

Low Carbon

Low Carbon

Intelligent

Intelligent

The transition toward low-carbon energy solutions has inspired utility providers to build new energy power systems that harness intelligent and connected capabilities.
Three Challenges
Facing New Power Systems
Resource
Line
Load
Resource

Lack of coordination can hinder the quality and stability of new energy power systems.

Line

Power line devices are walled off from each other, and lack integrated communications and network controls, which necessitates the transition toward intelligent, connected, and all-sensing networks.

Load

New energy access can lead to power grid overload, and therefore management and control of off-peak power consumption and coordinated charging are major pain points.

HPLC:
The Preferred Choice for New Power Systems
Connectivity technology in low-voltage power distribution and utilization is key to addressing the challenges of new power systems. That's where HiSilicon's HPLC solution comes into the picture. HiSilicon has been deeply engaged in the power and IoT communication fields for years. In 2020, HiSilicon and China Electric Power Research Institute (CEPRI) released the In-depth Use Cases of HPLC Technology V2.7, which includes use cases related to frequent data collection, transformer district identification, power outage reporting, NMS detection, ID management, archive synchronization, clock management, and phase identification, covering diverse service scenarios like national network cable loss control, spot power transaction, and power outage reporting.
In-depth
Applications
Frequent Data Collection
Collects power consumption data, such as that from power and electricity meters, in a matter of minutes. This allows for effective control of off-peak power consumption and coordinated charging, precise matching between power supplies and loads, and highly reliable power distribution networks for new energy power supplies.
Minute-level real-time data collection
Transformer District Identification
Thanks to software-based transformer district identification, members in different transformer districts are accurately distinguished, resulting in 99% accurate meter-transformer relationship identification and tech-driven line loss management.
Accuracy > 99%
Software-based Branch Identification
Data-driven topology identification for physical distribution network branches is conducted by harnessing the transformer district identification results and voltage and current information, as well as through knowledge of the PLC characteristics. These identification results make it easy to calculate the actual physical line loss and line impedance and accurately locate faults.
Precise line loss analysis
Phase Topology Identification
By tapping into the phase difference between the zero-crossing points of the three-phase 220 V AC power supply, the phase where the power supply is located can be identified efficiently and accurately. This helps mitigate the three-phase unbalance and line loss, and improves the reliability of power supplies.
Higher power supply reliability
Power Outage Reporting
Thanks to early fault detection and proactive reporting of power outage and recovery events, the focus can shift from passive to proactive maintenance, which improves the reliability and level of service for power supplies.
Precise fault detection
Frequent Data Collection
Collects power consumption data, such as that from power and electricity meters, in a matter of minutes. This allows for effective control of off-peak power consumption and coordinated charging, precise matching between power supplies and loads, and highly reliable power distribution networks for new energy power supplies.
Minute-level real-time data collection
Transformer District Identification
Thanks to software-based transformer district identification, members in different transformer districts are accurately distinguished, resulting in 99% accurate meter-transformer relationship identification and tech-driven line loss management.
Accuracy > 99%
Software-based Branch Identification
Data-driven topology identification for physical distribution network branches is conducted by harnessing the transformer district identification results and voltage and current information, as well as through knowledge of the PLC characteristics. These identification results make it easy to calculate the actual physical line loss and line impedance and accurately locate faults.
Precise line loss analysis
Phase Topology Identification
By tapping into the phase difference between the zero-crossing points of the three-phase 220 V AC power supply, the phase where the power supply is located can be identified efficiently and accurately. This helps mitigate the three-phase unbalance and line loss, and improves the reliability of power supplies.
Higher power supply reliability
Power Outage Reporting
Thanks to early fault detection and proactive reporting of power outage and recovery events, the focus can shift from passive to proactive maintenance, which improves the reliability and level of service for power supplies.
Precise fault detection
HPLC+HRF Dual-Mode
Enhanced Low-Voltage Power Distribution Network Connection Technology
HPLC+HRF dual-mode technology is the key to the future for low-voltage power grids, and offers a range of benefits, including secure and reliable network access for devices in transformer districts; panoramic monitoring and real-time sensing of devices on the resource, power grid, and load sides; refined O&M management, precise load prediction, and flexible adjustment. These traits enable the low-voltage end of the power grid to harness the capabilities of fully-connected, wide-reaching, and uber-efficient digital networks.
HPLC+HRF Dual-Mode:
Key Capabilities
Real-time Collection
Minute-level data collection increases available service bandwidths and enhances real-time performance. Big data is leveraged to assist with precise line loss analysis, real-time, bidirectional resource-load interactions and controls, and supply-demand balance.
Precise Fault Detection
Higher fault reporting accuracy and reliability is made possible through dual-mode, multi-channel reporting. Software-based topology identification allows for accurate early detection of line faults and subsequent automatic fault isolation.
Service Addition and Capacity Expansion
With the wide array of low-voltage services now supported, the service portfolio has been significantly expanded to encompass: collection meters, switches, charging piles, distributed PV modules, energy storage devices, indoor metering devices, sensors, and smart box locks. Network expansion equips the primary network to accommodate up to 2000 devices, with expandable sub-networks.
End-aware Connections Across All Scenarios
The data from the source, line, and load levels of the low-voltage power grid makes the power grid running status visible in real time. This is consolidated by multi-channel communications and the backbone network on the low-voltage transformer district side, which allows sensors at all levels to connect to the power grid.
HPLC+HRF Dual-Mode:
Spurring Ongoing Service Improvements

HPLC

Dual-Mode

Data collection frequency

Frequent data
collection

Minute-level data collection (in real-time) The use of dual-mode and multi-channel boosts network bandwidth and expands the scope of available real-time services, such as real-time bidirectional resource-load interactions and controls, electricity spot market transactions, and PV power generation status monitoring.

Power supply reliability*

Power outage
reporting
through
crosstalk

Allows for real-time data collection and power outage reporting via dual-mode and multi-channel, with accuracy of 99.9%

Service diversity+
Network expansion

Focus on meter
reading
scenarios

Covers a wide range of scenarios, including meter reading, multi-function meters, circuit breakers, switches, charging piles, sensors, and smart box locks

Highlights of HiSilicon's Next-Generation
Dual-Mode Solution
Highlights of HiSilicon's Next-Generation Dual-Mode Solution

Broader
connections

Less power
consumed

Enhanced
performance

More secure

In-depth
applications

Broader connections

Up to 2000 node connections

Supported on a broad range of different devices, including battery-powered devices, thanks to single-mode HRF

Mesh and star networks, for meter reading and low-power node access

Less power consumed

Low-power baseband receiving algorithm

More advanced process technology and better analog RF architecture

Comprehensive system design, to minimize power consumption during each phase

Enhanced performance

Continual improvements to anti-noise and anti-attenuation performance in HPLC

Better HRF frame structure and channel code than those seen in similar micropower technologies

Backup of HPLC and HRF routes, to strengthen networks

Higher bandwidth and better real-time data collection and control

More secure

SM2/SM3/SM4 encryption algorithms

International cryptographic algorithms: ECC, AES, and SHA

In-depth applications

No manual intervention required

Meter-transformer identification accuracy in transformer districts > 99%

Branch/Electrical topology identification accuracy > 99%

Line fault warning accuracy > 99%

Case Study

How the HPLC Minute-level Collection Solution Facilitates Seamless Grid-Connected PV Coordination

The HPLC solution has inspired the construction of a new power system in Henan province. Large-scale onsite tests in Kaifeng Lancao, Henan Province, reveal that HPLC has boosted data collection frequency from every 5 minutes to every minute, and resulted in a collection success rate of over 99%, without need to replace existing collection devices. The HPLC minute-level data collection solution meets the need for real-time data collection, making it easier for electric power customers to develop a diverse array of services, and coordinate grid-connected PV modules.

Recommended

* Power supply reliability: When a meter is powered off, the power outage event is reported through the module capacitor signal.

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Read our privacy policy