Abstract
This paper proposes an energy management system (EMS) architecture based on the Kubernetes container cluster to solve the problem of traditional EMSs being unable to simultaneously achieve high reliability and high resource utilization. Container cluster technology is used to encapsulate, isolate and deploy applications, which solves the problem of low system reliability caused by interlocking failures. Discrete Markov theory is applied to propose a dynamic Pod fault-tolerant EMS model. The results of the solution model are used to adjust the Pod redundancy in real-time to achieve the highest reliability to satisfy physical resource constraints. The results of the performance analysis show that the reliability of the proposed architecture is 99.9999504%. Compared with the EMS of the service-oriented architecture (SOA), the annual failure time is reduced from 3.83 minutes to 0.26 minutes. The comprehensive utilization of hardware resources increases by approximately 20%, and performance indicators such as the peak access success rate improve significantly. The proposed architecture is implemented in a real-power system, with good operating results and broad application prospects.
Highlights
An energy management system (EMS) is the main component of power dispatch and monitoring, and its reliability directly affects the safe operation of power grids
Under the resource constraints described in Case 1, the Kubernetes-based EMS (K-EMS) cannot achieve the expansion of k ≥ 2 in all applications, and the reliability of the system is lower than that of the MS-EMS
A reliability optimization model based on discrete Markov theory is proposed, which realizes the maximum system reliability under the given upper limit of computing resources
Summary
An energy management system (EMS) is the main component of power dispatch and monitoring, and its reliability directly affects the safe operation of power grids. Joonsang et al [5] proposed a big data management platform combined with cloud computing technology based on the information processing and storage of a smart grid to improve the efficiency and reliability of power services. Lyu et al [7] proposed an EMS based on the microservice architecture (MS-EMS), which completely decouples system applications, reduces system resource costs and improves system reliability through service resource management optimization methods. The SOA structure is the current mainstream architecture for EMS development It connects the functional units of the application through well-defined interfaces and communicates between them. Compared to existing EMSs, an EMS architecture with good isolation, finergrained decoupling, more advanced communication methods, and higher reliability is needed. C. INSUFFICIENT EMS RELIABILITY MODELING Fig 4 shows the system structure diagram based on discrete Markov theory. Resources should first be given to highly sensitive applications in development and maintenance
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