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Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes

  • Mahsa Khorram
  • Pedro Faria
  • Omid Abrishambaf
  • Zita Vale
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

Advancement of renewable energy resources, development of smart grids, and the effectiveness of demand response programs, can be considered as solutions to deal with the rising of energy consumption. However, there is no benefit if the consumers do not have enough automation infrastructure to use the facilities. Since the entire kinds of buildings have a massive portion in electricity usage, equipping them with optimization-based systems can be very effective. For this purpose, this paper proposes an optimization-based model implemented in a Supervisory Control and Data Acquisition, and Multi Agent System. This optimization model is based on power reduction of air conditioners and lighting systems of an office building with respect to the price-based demand response programs, such as real-time pricing. The proposed system utilizes several agents associated with the different distributed based controller devices in order to perform decision making locally and communicate with other agents to fulfill the overall system’s goal. In the case study of the paper, the proposed system is used in order to show the cost reduction in the energy bill of the building, while it respects the user preferences and comfort level.

Keywords

Optimization SCADA Multi-agent system 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mahsa Khorram
    • 1
  • Pedro Faria
    • 1
  • Omid Abrishambaf
    • 1
  • Zita Vale
    • 1
  1. 1.GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and DevelopmentInstitute of Engineering, Polytechnic of Porto (ISEP/IPP)PortoPortugal

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