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Demand Side Management Using Meta-Heuristic Optimization Techniques

  • Sidra Razzaq
  • Adia Khalid
  • Sughra Razzaq
  • Zain Ul Abideen
  • Asma Zahra
  • Mahnoor Khan
  • Nadeem Javaid
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 12)

Abstract

In this paper, we present a Home Energy Management System (HEMS) using two meta-heuristic optimization techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Bat Algorithm (BA). HEMS will provide different services to end user to manage and control their energy usage with time of use. The proposed model used for load scheduling between peak hour and off-peak hour. In this regard, we perform appliances scheduling to manage the frequent demand from the consumer. The aim of the proposed scheduling is to minimize peak to average ratio and the cost while having some trade-off in user comfort to achieve an optimal management of load. Simulation results show that the BA outperform than BFOA in selected performance parameters.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Sidra Razzaq
    • 1
  • Adia Khalid
    • 1
  • Sughra Razzaq
    • 2
  • Zain Ul Abideen
    • 1
  • Asma Zahra
    • 1
  • Mahnoor Khan
    • 1
  • Nadeem Javaid
    • 1
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.National University of Sciences and TechnologyIslamabadPakistan

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