Multi-agent based control of smart grid

Multi-agent based control of smart grid

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Controlling the power system has become challenging task with increasing power demands with limited resources. Therefore, energy utilities are looking advanced techniques for controlling their grid. In this context, multi-agent systems (MASs) are popular due to their inherent benefits. In the first section of this chapter, the functionality of MAS is presented with inherent advantages. Then, the applications of MAS are discussed in four aspects of power systems including power-system restoration, electricity trading, optimization, and smart-grid control. At the end two case studies, MAS in a microgrid and application of MAS in smart-grid transmission/generation have presented.

Chapter Contents:

  • 12.1 Introduction
  • 12.2 What is MAS and its functionality
  • 12.3 Advantages of MAS
  • 12.4 Multi-agent systems and applications
  • 12.4.1 Power system restoration
  • 12.4.2 Electricity trading
  • 12.4.3 Optimization
  • 12.4.4 Smart-grid control
  • PHEVs and PEVs
  • Demand side management and smart meters
  • 12.5 Case studies
  • 12.5.1 MAS in a microgrid
  • Case study 1: intentional islanding during an upstream fault
  • Case study 2: protecting critical loads during intentional islanding
  • Case study 3: managing critical loads during islanded operation
  • 12.5.2 Application of MAS in smart-grid transmission/generation
  • 12.6 Conclusions
  • References

Inspec keywords: power transmission control; power markets; smart power grids; multi-agent systems; power generation control; power system restoration; optimisation; distributed power generation

Other keywords: smart grid transmission; microgrid; smart grid generation; MAS; power system restoration; smart grid control; electricity trading; power demands; power system control; multiagent based control; energy utilities; optimization

Subjects: Power system control; Distributed power generation; Expert systems and other AI software and techniques; Optimisation techniques; Control of electric power systems; Optimisation techniques; Power system management, operation and economics

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