Research on Task Scheduling and Resource Optimization Algorithm for 0.4 kV Low-Voltage Live Working Based on Cloud Computing Platform
A comprehensive optimization model considering resource utilization and task completion rate is proposed to address the complexity and high risk of low-voltage live work in power system maintenance.The model aims to maximize resource utilization and task completion rate,and achieves efficient task scheduling and reasonable resource allocation by introducing optimization algorithms such as fireworks algorithm.The results show that the proposed algorithm can effectively reduce the safety risks of live working while improving work efficiency,and has good practicality and feasibility.
cloud computing platform0.4 kV low-voltage live worktask schedulingresource optimization
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