Applications of multi-agent systems in smart grid: a survey and taxonomy

Applications of multi-agent systems in smart grid: a survey and taxonomy

For access to this article, please select a purchase option:

Buy chapter PDF
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Modeling and Simulation of Complex Communication Networks — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Multi-agent systems (MASs) in the smart-grid area have received a great deal of attention from the research community in recent years. Studies on MAS to the smart grid have brought a number of interesting technical discussions on simulation and modeling of the smart grid and research contributions. Researchers are trying to bring energy efficiency and load balancing in the smart grid. Many of these research works have achieved efficiency in power-system domain, while the social system and consumer satisfaction still need improvement. By focusing on the MAS in smart grid, in this part, we survey the body of knowledge and discuss the challenges of simulation and modeling of MAS in the smart grid. We investigate and group the existing solutions and highlight open-research problems.

Chapter Contents:

  • 5.1 Overview
  • 5.2 Introduction
  • 5.3 A review of multi-agent system to smart-grid application
  • 5.3.1 Communication management
  • Group communication
  • Learning-based approach
  • 5.3.2 Demand–response management
  • Learning-based approach
  • Complex system
  • 5.3.3 Fault monitoring
  • Self-organizing
  • Algorithmic approach
  • 5.3.4 Power scheduling
  • Complex system
  • Learning-based approach
  • 5.3.5 Storage and voltage management
  • Learning
  • Monitoring
  • Searching
  • 5.4 Open research problems and discussion
  • 5.5 Conclusions
  • References

Inspec keywords: smart power grids; power engineering computing; multi-agent systems; energy conservation

Other keywords: MAS; load balancing; power-system domain; social system; smart grid; energy efficiency; consumer satisfaction; multiagent systems

Subjects: Power engineering computing; Electrical/electronic equipment (energy utilisation); Expert systems and other AI software and techniques

Preview this chapter:
Zoom in

Applications of multi-agent systems in smart grid: a survey and taxonomy, Page 1 of 2

| /docserver/preview/fulltext/books/pc/pbpc018e/PBPC018E_ch5-1.gif /docserver/preview/fulltext/books/pc/pbpc018e/PBPC018E_ch5-2.gif

Related content

This is a required field
Please enter a valid email address