Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/102162
Title: Application of multi-agent approach in the electric power control systems within the active energy complex
Authors: Zhavoronkov, A. E.
Aksyonova, O. P.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Zhavoronkov A. E. Application of multi-agent approach in the electric power control systems within the active energy complex / A. E. Zhavoronkov, O. P. Aksyonova. — DOI 10.1088/1742-6596/1694/1/012017 // Journal of Physics: Conference Series. — 2020. — Vol. 1694. — Iss. 1. — 012017.
Abstract: This paper provides an analytical overview of artificial intelligence technologies used in the tasks of technological management of the electric power industry. The relevance of using multi-agent systems is proved for solving energy problems. The concept of an intelligent energy system is considered with an active adaptive network (IES AAN). A block diagram of the electric power system management system is given within the IES AAN. It is shown that the developed centralized management principles are not fully applicable for small distribution networks - microgrid, with the use of storage devices and renewable sources. The article describes the active energy complex in Russia in the context of an analog of the Microgrid concept. The required functionality of a intelligent controllable connection (ICC) is studied, the main algorithm of the ICC operation is given, and the proposed structure is described for building a distributed system of intelligent multi-agent control of the AEC that implements the required functions. © Published under licence by IOP Publishing Ltd.
Keywords: COMPLEX NETWORKS
CONTROL SYSTEMS
DISTRIBUTED DATABASE SYSTEMS
ELECTRIC INDUSTRY
INTELLIGENT AGENTS
INTELLIGENT CONTROL
MICROGRIDS
MULTI AGENT SYSTEMS
POWER CONTROL
VIRTUAL STORAGE
ARTIFICIAL INTELLIGENCE TECHNOLOGIES
CENTRALIZED MANAGEMENT
DISTRIBUTED SYSTEMS
ELECTRIC POWER INDUSTRIES
INTELLIGENT ENERGIES
INTELLIGENT MULTI-AGENT
MULTI-AGENT APPROACH
REQUIRED FUNCTIONALITIES
ELECTRIC POWER SYSTEM CONTROL
URI: http://elar.urfu.ru/handle/10995/102162
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85099047302
PURE ID: 20453389
c348a439-b199-42ff-9cf1-f441c036bdb1
ISSN: 17426588
DOI: 10.1088/1742-6596/1694/1/012017
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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