Edge computing smart grid resource scheduling algorithm based on reinforcement learning
A smart grid is a power network capable of intelligent management and optimization.Network virtualiza-tion technology can effectively improve the resource utilization and reliability of smart grids and meet the differenti-ated needs of different users.In the case of limited resources,traditional virtual network embedding algorithms can-not dynamically adjust the allocation and mapping of virtual resources according to the resource usage and user needs of the power system.To solve this problem,edge computing and virtualization technology was combined and a virtu-al network resource scheduling algorithm based on reinforcement learning was introduced.The simulation results show that the proposed virtual resource scheduling algorithm is better than the other three scheduling algorithms in improving power grid reliability and resource utilization.
万方数据
维普
