DevOps Model Appproach for Monitoring Smart Energy Systems

Abstract

Energy systems are often socio-technical complex systems that are facing new challenges regarding technological and environmental changes. Because of their complex nature, they cannot be approached solely through analytical modeling, hence the inefficiency of most classical modeling approaches. In this article, a Hybrid Approach based on both systemic and analytical modeling is presented and applied to a case study. From this novel approach, a model—the Multi-Institution Building Energy System—is presented. It allowed us to highlight and detail the need for greater governance of energy systems. The socio-technical solutions identified to answer the issues of governance (Accuracy, Reliability and Fairness) were DevOps methodology and the use of Distributed Microservices Architecture. Based on this framework, the design of a Decision Support System assuring and exploiting state-of-the-art scalable tools for data management and machine learning factories is described in this article. Moreover, we wish to set up the conceptual basis necessary for the design of a generic theoretical framework of optimization applicable to complex socio-technical systems in the context of the management of a shared resource.

Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution

“…According to literature [ 29 , 30 ], the restrictions in the communications systems imposed by the penetration of more distributed generation sources force the use of distributed, autonomous and efficient communications strategies to control the power system efficiently. Microgrids need bare-metal Kubernetes to ensure high reliability, low latency, and optimal resource utilization [ 31 ], which are critical requirements for a microgrid’s efficient and safe operation. Standby servers may provide low reliability and performance than a Kubernetes-based infrastructure, especially in dynamic and changing load conditions.…”