Remote operation and maintenance cost control algorithm for smart grid operation state

Abstract

The traditional remote operation and maintenance cost control algorithm for power grid operation does not consider the cost balance treatment, which leads to large errors in the control results. To improve the remote operation and maintenance cost control ability of the smart grid operating status, an algorithm has been proposed. We designed a total cost control framework for remote operation and maintenance of smart grid operation status based on the aspects of system architecture, network topology, installation and deployment planning, server planning, database planning, and storage planning. This article combines the operation and maintenance of big data analysis methods to build a supporting cluster deployment model in each logical level model. The load balance of remote operation and maintenance cost control of smart grid operation status is designed using the ZULL gateway. This paper builds a database integration framework for asynchronous replication based on the log method. It integrates unstructured data on the operating status of the smart grid. Thus far, heterogeneous fusion processing has been realized, and operating cost management overhead has been reduced. This paper uses operational control algorithms to deal with big data fusion. It realizes the remote operation cost control operation of the smart grid. The experimental results show that the proposed remote operation and maintenance cost management control algorithm of smart grid operating state has small errors, strong convergence, and reliability of cost control results.