|
With the significant advancement of electrical
infrastructure in the context of smart buildings and smart
homes, the need arises to overcome the limitations of the
traditional energy efficiency control system based on service-
oriented architecture (SOA). To address these challenges, this
study proposes a distributed architecture based on
microservices, with the main objective of improving the
performance and stability of these systems. This proposal seeks
to enable end users to effectively monitor and control their
electrical devices while effectively integrating them into a wide
network of power systems. The proposed architecture relies on a
series of cloud services that enable better performance and
control in energy efficiency management, highlighting key
features of microservices such as fault tolerance, performance,
and scalability. Using a structural methodology centered on pre-
existing components and an iterative approach, a versatile and
scalable architecture was designed that addresses current
challenges in energy efficiency management. The results show a
significant impact on key performance indicators such as
demand response, energy savings, and power quality,
highlighting the resilience and scalability of the proposed
architecture. The conclusions highlight the importance of energy
efficiency in reducing the environmental impact and costs
associated with electric power, suggesting future improvements
in data access and the implementation of advanced machine
learning algorithms.
|
