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Availability Improvements through Data Slicing in PLC Smart Grid Networks
Paul Negirla1, Romina Druță1, Ioan Silea1
1Department of Automation and Applied Informatics, Politehnica University Timisoara, 300006 Timisoara, Romania.
Sensors (Basel, Switzerland)
|December 22, 2020
Summary
This study introduces a data slicing model to improve smart grid communication reliability, especially for devices like PRIME PLC meters with poor network conditions. This enhances remote firmware upgrades and reduces maintenance costs.
Area of Science:
- Electrical Engineering
- Computer Networking
- Telecommunications
Background:
- Smart grid technology deployment faces challenges with network availability for devices like smart meters.
- Poor communication conditions can hinder reliable data transfer and remote management in electrical grids.
- Existing solutions may not adequately address low network availability in specific smart grid use-cases.
Purpose of the Study:
- To propose a data slicing model for secure and reliable transmission of large data files in smart grids.
- To enhance the network availability of PRIME Power Line Communication (PLC) meters.
- To evaluate the feasibility and efficiency of remote firmware upgrades in smart grids.
Main Methods:
- Implementation of a data slicing model at the application level for smart grid data.
- Tuning of transmission rates based on power grid noise levels for PRIME PLC communication.
- Experimental evaluation on a low-power electrical grid setup to assess availability and upgrade times.
Main Results:
- The proposed data slicing model significantly improves network availability for smart grid devices.
- Remote firmware upgrade times using the proposed method are comparable to manual optical probe upgrades.
- The method demonstrates reliability and practicality for remote management of smart grid infrastructure.
Conclusions:
- The data slicing model offers a viable solution for enhancing smart grid communication reliability under adverse conditions.
- Remote firmware upgrades via the smart grid network are practical, reducing the need for manual interventions.
- The approach contributes to reduced operational and maintenance costs for energy suppliers and end-users.
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