Home Energy Management Using Enhanced Differential Evolution and Chicken Swarm Optimization Techniques

  • Muhammad Awais
  • Zain Ul Abadeen
  • Taimur Bilal
  • Zafar Faiz
  • Muhammad Junaid
  • Nadeem Javaid
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 8)

Abstract

Energy optimization is important aspect of smart gird (SG). SG integrates communication and information technology in traditional grid. In SG there is two-way communication between consumer and utility. It includes smart meter, Energy Management Controller (EMC) and smart appliances. Users can shift load from on peak hours to off peak hours by adapting Demand Side Management (DSM) strategies, which effectively reduce electricity cost. The objectives of this paper are the minimization of power consumption, electricity cost, reduction of Peak to Average Ratio (PAR) using Enhanced Differential Evolution (EDE) and Chicken Swarm Optimization (CSO) algorithms. For the calculation of cost Critical Peak Pricing (CPP) is used. The simulations result show that proposed schemes reduce electricity cost, reduce power consumption and PAR.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Muhammad Awais
    • 1
  • Zain Ul Abadeen
    • 1
  • Taimur Bilal
    • 1
  • Zafar Faiz
    • 1
  • Muhammad Junaid
    • 1
  • Nadeem Javaid
    • 1
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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