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Power Management in Smart Grid for Residential Consumers

  • Muhammad Shahid Saeed
  • Adia Khalid
  • Anila yasmeen
  • Zunaira Nadeem
  • Muhammad Awais Younas
  • Syed Zain Raza
  • Nadeem Javaid
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 13)

Abstract

In this paper we have studied the power management for residential area. A proper load management brought fruitful results in term of Peak to Average Ratio (PAR) reduction and electricity cost. In order to achieve these objectives, we provide an energy management structure to perform scheduling on the basis of Genetic Algorithm (GA) and Fish Swarm Optimization (FSO). Time Of Use (TOU) pricing scheme has been used to calculate electricity cost. After experiments a noticeable difference has been found in the performance of our proposed algorithms GA and FSO. GA provides us better results in term of energy consumption and PAR reduction as compared to FSO. However, FSO performs more efficiently than GA in term of electricity cost reduction.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Muhammad Shahid Saeed
    • 1
  • Adia Khalid
    • 1
  • Anila yasmeen
    • 1
  • Zunaira Nadeem
    • 2
  • Muhammad Awais Younas
    • 1
  • Syed Zain Raza
    • 3
  • Nadeem Javaid
    • 1
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.National University of Science and TechnologyIslamabadPakistan
  3. 3.University of Engineering and TechnologyLahorePakistan

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