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Demand-response management in smart grid: a survey and future directions

Demand-response management in smart grid: a survey and future directions

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Nowadays, one of the key areas of research in smart grid (SG) is demand-response management (DRM). DRM assists in simplifying interactions between the customers and the utility-service providers. It also helps in the improvement of energy efficiency as well as effects on load balancing. Studies on DRM have brought a number of interesting, technical discussions and research contributions. Many of these studies work toward making energy-efficient systems. However, there is a need to work in the domain of customer satisfaction; this area needs considerable new advances. From past few decades, a number of studies have been carried out in SG regarding DRM. However, there is no such work that presents a comprehensive analysis of these works. There is a need to investigate different techniques, their advantages, as well as limitations. By focusing on DRM from a customer satisfaction perspective, in this chapter, we present a detailed overview of different solutions for developing DRM. We also group existing solutions and identify trends and challenges in an SG domain from DRM perspective.

Chapter Contents:

  • 4.1 Overview
  • 4.2 Introduction
  • 4.3 Backgrounds
  • 4.3.1 Smart grid
  • 4.3.2 Demand–response management
  • 4.3.3 Complex systems
  • 4.3.4 Learning-based approaches
  • 4.4 A review of demand–response management in SG
  • 4.4.1 Learning-based approaches
  • 4.4.1.1 Artificial neural network
  • 4.4.1.2 Reinforcement learning approach
  • 4.4.2 Complex system
  • 4.4.2.1 Collaborative approach
  • 4.4.2.2 Complex adaptive system
  • 4.4.2.3 Demand-side integration
  • 4.4.2.4 Particle swarm optimization
  • 4.4.2.5 Game-theory approach
  • 4.4.3 Other techniques
  • 4.4.3.1 Security management
  • 4.4.3.2 Home-energy management system
  • 4.4.3.3 Electric vehicles charging
  • 4.4.3.4 Renewable energy sources
  • 4.4.3.5 Energy market
  • 4.4.3.6 Mircorgrid
  • 4.5 Open-research problems and discussion
  • 4.5.1 Open-research problems in learning system
  • 4.5.2 Open-research problems in complex system
  • 4.5.3 Open-research problems in other techniques
  • 4.6 Conclusions
  • References

Inspec keywords: customer satisfaction; energy conservation; demand side management; smart power grids

Other keywords: customer satisfaction perspective; load balancing; SG domain; smart grid; energy efficiency; demand-response management; utility-service providers; energy-efficient systems; DRM perspective

Subjects: Power system management, operation and economics

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