Research and Implementation of Rate Limiting and Load Balancing for Intelligent Operation and Maintenance Management Platform of Substation
The research and application of intelligent operation and maintenance management platform for substations is based on the digital platform of ultra-high voltage substations, which further expands the scope and application scenarios of digital platform technology and improves the data aggregation method. In order to meet the requirements of high concurrency and high load substation intelligent operation and maintenance management platform, and provide high-quality application services, this article takes the construction of substation intelligent operation and maintenance management platform as the starting point, studies the rate limiting and load balancing technology of substation intelligent operation and maintenance management platform, and solves the performance bottleneck of traditional single node services. In the design and implementation process of the platform, rate limiting and load balancing are two crucial technical links that play a decisive role in improving platform performance, ensuring system stability, and optimizing resource allocation. In the intelligent operation and maintenance management platform of substations, rate limiting help protect platform services from malicious requests or sudden high traffic impacts, ensuring the normal operation of critical businesses. Load balancing helps the platform to respond to application layer requests stably and quickly even in high concurrency situations. By combining rate limiting with load balancing, a more robust and efficient system architecture can be constructed. By enhancing lean equipment management and production control penetration, a device centric panoramic data aggregation and sharing, as well as visual presentation of operation and maintenance business, can be achieved, providing strong guarantees for the safe, stable, and efficient operation of the power grid.
Authors
- Jingrong Zheng
- Bo Chang (ORCID: https://orcid.org/0000-0001-8259-7290)
- Jianxin Zhou
- Shucai Sun
- Yehua Xie
- Xiaojin Wang
- Chuanyu Zhang
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/itnec60942.2024.10733012
- Citations
- 1
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.21