Design of Optimal Scheduling Algorithm for Power Grid Energy Absorption and Storage Based on Fog Computing
Aimed at the problems of low utilization rate of renewable energy generation and poor operation economy of power grid,this paper designs an optimal scheduling algorithm for grid energy absorption and storage based on fog computing.Based on fog computing technology,a power grid dispatching system is constructed to process mass terminal data nearby in a decen-tralized manner.At the same time,the algorithm aims at maximizing the consumption rate of renewable energy and minimizing the operating cost,and uses the improved firefly algorithm to solve it,so as to obtain the optimal power grid dispatching scheme.The experimental results of the proposed algorithm based on IEEE-9 node system show that under the control of the algorithm,the renewable energy absorption rate and operating cost of the system are 92.58％and 481 300 yuan,respectively,which can effectively control the energy storage power station to maximize energy absorption.
fog computingimproved firefly algorithmabsorption ratepower grid dispatchingenergy storage optimization
万方数据
维普
