Robust Frequency Control for Renewable Energy Powered Edge Computing System

Nowadays, in the face of the big data era and more and more task computing requirements, edge computing as a computing paradigm that offloads cloud computing and storage resources to the network edge side relieves the pressure of network bandwidth. With a large number of edge computing devices deployed to the network edge, it is an urgent problem to provide energy for these devices in an environmentally friendly and reliable way. In order to solve this problem, a feasible way is to replace part of the traditional energy with renewable energy, which has been widely studied. However, the stochastic characteristics of renewable energy and computing tasks and the delay of task scheduling normally have a negative impact on the power supply-demand balance in edge nodes. In this paper, we study the robust frequency control problem in the edge computing node powered by renewable energy considering task scheduling. Therefore, a stochastic differential equation with time delay is used to model the dynamics of task computing, energy supply and task scheduling of edge computing system, and the robust stability of AC bus frequency deviation of edge nodes is discussed. The linear matrix inequality (LMI) method is used to solve such control problem. Finally, numerical simulations show the effectiveness of the proposed method.