Iterative learning control of energy management system: Survey on multi-agent system framework

Dinh Hoa Nguyen, David Banjerdpongchai

研究成果: Contribution to journalReview article査読

4 被引用数 (Scopus)

抄録

This paper presents a brief survey of recent works on Iterative Learning Control (ILC) of Energy Management System (EMS) based on a framework of Multi-Agent System (MAS). ILC is a control methodology which is especially suitable for dynamical systems whose control tasks are executed in a finite time interval and are repeated over and over. The key idea of ILC is to take available system information in the past and current runs, to generate the control input for the next run. EMS is a computer-based system to monitor energy consumption, control operation, and optimize energy supplies and demands. EMS can be naturally modeled as MAS since each power-generated or powerconsumed component of EMS can be cast as agent. Each agent of MAS is a dynamical system itself and has its own target such as tracking desired trajectory and minimizing energy. Moreover, there are common objectives of EMS which aim to attain its energy efficiency, reliability and optimality. Then one agent can cooperate with other agents to achieve some global objectives, in addition to their own local goals, by exchanging information with other agents. Lastly, we will explore some open research problems and their potential applications.

本文言語英語
ページ(範囲)1-4
ページ数4
ジャーナルEngineering Journal
20
5
DOI
出版ステータス出版済み - 11 25 2016
外部発表はい

All Science Journal Classification (ASJC) codes

  • 工学(全般)

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