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Study of MiniGrid Control Automation in Distribution Electric Networks with Low-Power Generation | IEEE Conference Publication | IEEE Xplore

Study of MiniGrid Control Automation in Distribution Electric Networks with Low-Power Generation


Abstract:

The presented studies are due to the increase in the number of facilities with low-power generation and the desire of their owners to connect these facilities to the dist...Show More

Abstract:

The presented studies are due to the increase in the number of facilities with low-power generation and the desire of their owners to connect these facilities to the distribution electric networks of the United Energy System (UES) and turn facilities in parallel operation. Because the island mode of such facilities does not meet the requirements of reliability, quality of power supply to consumers and efficiency of energy production. To solve this problem, it is necessary to develop and subsequently use specialized intelligent system automation for controlling modes of such MiniGrid. This intelligent system automation would simplify and significantly reduce the costs of integrating objects with synchronous low-power generation into the existing electrical networks of the UES. Also it ensures compliance with the requirements for reliability, quality of power supply to consumers and efficiency energy production. A technical solution of challenge for eliminating risks and technological barriers arising as a result of direct connection of balanced local power systems based on low-power generation to centralized power grids with the creation on their basis of local smart power systems of the SmartGrid type is presented. The testing of automation subsystems were carried out, which ensure the compliance of the requirements for “free” (Plug and play) and low-cost connection of MiniGrid and objects with synchronous low generation to external power grids. The direct connection of these objects to the network is conducted through synchronous connections without centralization of control based on the ideology of multi-agent systems.
Date of Conference: 16-18 November 2021
Date Added to IEEE Xplore: 04 January 2022
ISBN Information:
Conference Location: Ufa, Russian Federation

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