Research on Dynamic Scheduling Method of Electric Energy Measurement Automation Task Based on Priority

With the development of energy metering automation, efficient task scheduling has become the key to improving the operational management level of the power system. This study focuses on a priority based dynamic scheduling method for electric energy metering automation tasks. Firstly, task identification and classification are carried out, with task sources including measuring equipment and operational management requirements. Then determine the task priority, taking into account the urgency, importance, and timeliness of the task, using rule-based, data analysis, or comprehensive evaluation methods to determine the priority. Afterwards, resources will be allocated based on priority and balanced utilization principles. Finally, the scheduling results are evaluated based on indicators such as task completion rate, execution time, and resource utilization rate, and the scheduling plan is adjusted according to the feedback of the evaluation results, thereby achieving efficient automation of energy metering task scheduling. The experimental results show that this method has significant advantages in improving task execution efficiency and system resource utilization.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914088
Primary Topic
Power Systems and Technologies
Type
article
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Research on Dynamic Scheduling Method of Electric Energy Measurement Automation Task Based on Priority

Wenhao Fan, Wei Yao, Shengchuan He, Jingyi Chen et al.
Power Systems and Technologies
article

Research on Dynamic Scheduling Method of Electric Energy Measurement Automation Task Based on Priority

Wenhao Fan, Wei Yao, Shengchuan He, Jingyi Chen, Jian W. Du, Xin Wen
article en

Abstract

With the development of energy metering automation, efficient task scheduling has become the key to improving the operational management level of the power system. This study focuses on a priority based dynamic scheduling method for electric energy metering automation tasks. Firstly, task identification and classification are carried out, with task sources including measuring equipment and operational management requirements. Then determine the task priority, taking into account the urgency, importance, and timeliness of the task, using rule-based, data analysis, or comprehensive evaluation methods to determine the priority. Afterwards, resources will be allocated based on priority and balanced utilization principles. Finally, the scheduling results are evaluated based on indicators such as task completion rate, execution time, and resource utilization rate, and the scheduling plan is adjusted according to the feedback of the evaluation results, thereby achieving efficient automation of energy metering task scheduling. The experimental results show that this method has significant advantages in improving task execution efficiency and system resource utilization.

Guangzhou Education Bureau (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Power Systems and Technologies
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