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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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