基于边缘计算的新能源电网云-边协同优化调度模型研究

Research on cloud-Side collaborative optimal scheduling model of new energy grid based on edge computing

针对新能源电网运行调度过程中调度数据量大、各能源设备运行工况复杂等影响因素使得电网调度难度增加的问题,文章建立了一种基于边缘计算的新能源电网云-边协同优化调度模型。首先,结合布置在新能源电网中的多种智能数据传感器,对新能源电网云-边协同调度框架进行分析研究,建立了基于多节点能源-信息交互的新能源电网云-边协同调度模型;然后,以云服务应用层、边缘计算层作为上、下两个优化调度层,建立以新能源电网运行调度成本最优和调度数据传输延时最小为目标的新能源电网双层优化调度模型,并采用多目标蚁群算法进行求解;最后,搭建相应的仿真模型进行仿真验证。仿真结果表明,文章建立的新能源电网多节点云-边协同调度模型可以有效提高调度优化计算效率,并且能够提升新能源电网调度的经济性。

To address the problem that the large amount of dispatching data and the complex operating conditions of each energy device in the new energy grid operation and dispatching process make the grid dispatching more difficult,a new energy grid cloud-side collaborative optimization dispatching model based on edge computing is established in this paper.Firstly,combined with various intelligent data sensors arranged in the new energy grid,the cloud-side collaborative scheduling framework of the new energy grid is analyzed and researched,and a new energy grid cloud-side collaborative scheduling model based on multi-node energy-information interaction is established.Then,the cloud service application layer and the edge computing layer are used as the upper and lower optimal scheduling layers to establish a new energy grid doublelayer optimal scheduling model with the objective of the optimal operation and scheduling cost of the new energy grid and the minimum transmission delay of the scheduling data,which is solved by multi-objective ant colony algorithm.Finally,the corresponding simulation model is established for simulation verification.The simulation results show that the multi-node cloud-edge collaborative dispatch model of the new energy grid established in this paper can effectively improve the calculation efficiency of dispatch optimization and can improve the economy of new energy grid dispatching.