Demand Side Management Using Chicken Swarm Optimization

  • Zafar Faiz
  • Tamour Bilal
  • Muhammad Awais
  • Pamir
  • Sundas Gull
  • Nadeem JavaidEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 8)


In this paper, two meta-heuristic techniques Chicken Swarm Optimization (CSO) and Enhanced Differential Evolution (EDE) are used for demand side management. We have integrated Traditional Grids with Demand Side Management (DSM) We have categorized appliances in two categories; fixed and shiftable/elastic appliances. Real Time Pricing (RTP) is used for calculation of electricity cost. The objective of our work is to minimize electricity bill, increase user comfort, and reduced peak to average ratio. As the simulation results show that CSO gives better results as we compared with EDE in terms of electricity cost and waiting time.


Chicken Swarm Optimization (CSO) Demand Side Management (DSM) User Comfort Minimize Electricity Bill Enhanced Differential Evolution (EDE) 
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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Zafar Faiz
    • 1
  • Tamour Bilal
    • 1
  • Muhammad Awais
    • 1
  • Pamir
    • 1
  • Sundas Gull
    • 2
  • Nadeem Javaid
    • 1
    Email author
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.Bahauddin Zakariya UniversityMultanPakistan

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