DECISION SUPPORT MICROSERVICE FOR MICROGRID OPERATION WITH RENEWABLE ENERGY SOURCES
DOI:
https://doi.org/10.32782/tnv-tech.2024.1.3Keywords:
renewable energy sources, microgrid, microservice architecture, decision-making supportAbstract
The growing use of renewable energy sources (RES) leads to the complication of infrastructure tasks for energy systems. Effective integration of RES requires an improved decision-making system capable of taking into account the variability of energy generation and demand, as well as ensuring the reliability and stability of the energy system. Microservice architecture can become an effective way to implement such systems, thanks to its flexibility, scalability and ease of integration. The purpose of the work is the development of a decision-making support microservice regarding the modes of operation of an energy microgrid using RES. Creating such a microservice has a number of advantages. Namely, flexibility – the system easily adapts to changes in needs and technologies, and can also be expanded to support new functions; integrability – the microservice is easily integrated with other systems and platforms, which makes it possible to create a comprehensive energy microgrid management system; expansion – the system opens up possibilities for developing own applications and APIs, which allows you to flexibly adapt it to the needs of specific users. As part of the work, an analysis of current problems in energy microgrids was carried out and prospects for the development of this industry were determined. A model of microservice creation and functionality has been developed, the structure and interaction of system components has been determined. Based on the developed model, a microservice was created in accordance with the architectural and functional requirements. The integration of the microservice into the already existing information system was carried out. Thorough testing of the microservice, including testing its functionality, performance, and fault tolerance. The acquired knowledge and work results at this stage form the basis for the further development and improvement of the microservice in order to fulfill its main function – decisionmaking regarding the modes of operation of the energy microgrid using RES.
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