Appliances Scheduling Using State-of-the-Art Algorithms for Residential Demand Response

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 17)


Smart Grid (SG) plays vital role to utilize electric power with high optimization through Demand Side Management (DSM). Demand Response (DR) is a key program of DSM which assist SG for optimization. Smart Home (SH) is equipped with smart appliances and communicate bidirectional with SG using Smart Meter (SM). Usually, appliances considered as working for specific time-slot and scheduler schedule them according to tariff. If actual run and power consumption of appliances are observed closely, appliances may run in phases, major tasks, sub-tasks and run continuously. In the paper, these phases have been considered to schedule the appliances using three optimization algorithms. In one way, appliances were scheduled to reduce the cost considering continuous run for given time slot according to their power load given by company’s manual. In other way, actual running of appliances with major and sub-tasks were paternalized and observed the actual consumption of load by the appliances to evaluate true cost. Simulation showed, Binary Particle Swarm Optimization (BPSO) scheduled more optimizing scheduling compared to Fire Fly Algorithm (FA) and Bacterial Frogging Algorithm (BFA). A hybrid technique of FA and GA have also been proposed. Simulation results showed that the technique performed better than GA and FA.


Day Ahead Pricing (DAP) Smart Grid (SG) Demand Side Management (DSM) Smart House (SH) Bacteria Forging Algorithm (BFA) Firefly Algorithm (FA) Binary Particle Swarm Optimization (BPSO) 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.PMAS Agriculture UniversityRawalpindiPakistan
  3. 3.CIS, Higher Colleges of Technology, Fujairah CampusAbu DhabiUAE
  4. 4.NFC Institute of Engineering and Fertlizer ResearchFaisalabadPakistan

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