Моделирование мультиагентной подсистемы для решения проблемы управления электропитанием в системе "умного дома"
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Modeling of a multi-agent subsystem for solving the problem of power management in a Smart home system

Didenko S.S. 

UDC 004.4
DOI: 10.26102/2310-6018/2021.35.4.009

  • Abstract
  • List of references
  • About authors

This article describes the architecture of a home automation system. The system consists of two parts: a centralized one, which represents the solution of linear problems and is a regular service part, and a multi-agent one, marked with a singular service part. To describe the behavior of the elements of the regular service part, the concept of services is introduced. These services are divided into three types: end-user services that directly provide comfort for residents, intermediate services that manage energy storage, and auxiliary services that produce electricity for intermediate and end-users. To solve the problems associated with uncertainty, a three-layer architecture of a multi-agent subsystem is proposed: a local layer, a reactive layer, and a proactive layer. Temporary and permanent services are also designated, and their corresponding subsystem agents are used to describe behavior in reactive and proactive mechanisms. The agents of the reactive mechanism behave in accordance with the stimulus-response process with the possibility of communication. The role of such an agent is to monitor their level of current satisfaction. If the critical level of satisfaction is reached, the agent initializes the start of the messaging process. The basic principle of the proactive mechanism is to divide the problem into independent subtasks. The solution calculates the predicted plan for each subproblem using an annealing simulation algorithm.

1. Kaushik Chowdhury, Dave Cavalcanti, Tommaso Mazza, Chittabrata Ghosh. Modeling and Simulation of Smart and Green Computing Systems. IEEE Computer Society.2012;9(45)

2. Svanes D. Context-Aware Technology: A Phenomenological Perspective. Human Computer Interation, Special issue on context-aware computing. Lawrence Erlbaum Associates.2001;1

3. Oliveira G. D., Jacomino M., Ploix D. L. H. S., Optimal power control for smart homes, in: 18th IFAC World Congress, Milan, Italy.2011;1.

4. Abras S., Ploix S., Pesty S., Jacomino M., A multi-agent home automation approach for power management, in: Proceedings of the 1st IFAC Workshop on Convergence of Information Technologies and Control Methods with Power Plants and Power Systems, Cluj-Napoca, Romania.2017;1:51-53.

5. Lucidarme P., Simonin O., Li´egeois A., Implementation and evaluation of a satisfaction/ altruism based architecture for multi-robot systems, in: IEEE International Conference on Robotics and Automation. 794 Hussein Joumaa et al. / Energy Procedia 6.2011;1:786–794

6. Cintuglu M.H. and Mohammed O. A., “Simulation of digitalized power system using pmu and intelligent control,” in Proc. IEEE Industry. Applications Society Annual Meeting.2013;1:1-8

7. Sun Q., Yu W., Kochurov N., Hao Q., and Hu F., “A multi-agent-based intelligent sensor and actuator network design for smart house and home automation,” Journal of Sensor and Actuator Networks.2013;1:557–588

8. Siddiqui U. and et al., “Elastic jade: Dynamically scalable multi agents using cloud resources,” in Proc. Second Int Cloud and Green Computing (CGC) Conf. 2012;2:267-172

9. Abras S., Pesty S., Ploix S., Jacomino M., Advantages of mas for the resolution of a power management problem in smart homes, PAAMS10.2010

10. Britz J., Frey J., and Alexandersson J., “Bridging the gap between smart home and agents,” in Proc. Int Intelligent Environments (IE) Conf, 2014;1:31–38

11. Wacks K., The impact of home automation on power electronics, in: Applied Power Electronics Conference and Exposition.2018

Didenko Sergey Sergeevitch

Voronezh State Technical University

Voronezh, Russian Federetion

Keywords: smart home, multiagent technologies, power management, distributed systems, centralized systems

For citation: Didenko S.S. Modeling of a multi-agent subsystem for solving the problem of power management in a Smart home system. Modeling, Optimization and Information Technology. 2021;9(4). URL: https://moitvivt.ru/ru/journal/pdf?id=996 DOI: 10.26102/2310-6018/2021.35.4.009 (In Russ).

377

Full text in PDF

Received 20.06.2021

Revised 26.07.2021

Accepted 06.10.2021

Published 31.12.2021