Smart Building Demand Side Management Using Multi-Objective Archimedes Optimization Algorithms

This study presents an intelligent house energy management system that uses demand-side management load shifting to improve energy usage. This system optimizes home appliance management to moderate load demand, reducing power costs and peak-to-average ratio while prioritizing user comfort. Day-ahead...

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Veröffentlicht in:2023 24th International Middle East Power System Conference (MEPCON) S. 1 - 6
Hauptverfasser: El-Afifi, Magda I., Sedhom, Bishoy E., Eladl, Abdelfattah A.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 19.12.2023
Schlagworte:
Archimedes optimization algorithm
coordination
Costs
day-ahead and real-time scheduling
Electricity
Heuristic algorithms
Home appliances
Optimal scheduling
Power system dynamics
Pricing
Smart homes
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Abstract This study presents an intelligent house energy management system that uses demand-side management load shifting to improve energy usage. This system optimizes home appliance management to moderate load demand, reducing power costs and peak-to-average ratio while prioritizing user comfort. Day-ahead and real-time load scheduling meet power customers' demands. Multi-objective Archimedes optimization techniques help distribute workload evenly across ON-peak and Off-peak hours and provide a fitness criterion. Additionally, home appliance coordination for real-time rescheduling is being proposed. Due to its similarities, the real-time rescheduling problem is called a knapsack problem and is solved using dynamic programming. This study also tests the proposed methodology in real-time pricing. Simulation results with a 95% confidence interval demonstrate the significance of the proposed optimization technique.
AbstractList This study presents an intelligent house energy management system that uses demand-side management load shifting to improve energy usage. This system optimizes home appliance management to moderate load demand, reducing power costs and peak-to-average ratio while prioritizing user comfort. Day-ahead and real-time load scheduling meet power customers' demands. Multi-objective Archimedes optimization techniques help distribute workload evenly across ON-peak and Off-peak hours and provide a fitness criterion. Additionally, home appliance coordination for real-time rescheduling is being proposed. Due to its similarities, the real-time rescheduling problem is called a knapsack problem and is solved using dynamic programming. This study also tests the proposed methodology in real-time pricing. Simulation results with a 95% confidence interval demonstrate the significance of the proposed optimization technique.
Author Sedhom, Bishoy E.
El-Afifi, Magda I.
Eladl, Abdelfattah A.
Author_xml – sequence: 1
  givenname: Magda I.
  surname: El-Afifi
  fullname: El-Afifi, Magda I.
  email: Magdaebraheem15@gmail.com
  organization: Nile Higher Institute for Engineering and Technology,Dept. of Electronics and Communication Engineering,Mansoura,Egypt
– sequence: 2
  givenname: Bishoy E.
  surname: Sedhom
  fullname: Sedhom, Bishoy E.
  email: eng_bishoy90@mans.edu.eg
  organization: Mansoura University,Faculty of Engineering,Electrical Engineering Department,El-Mansoura,Egypt,35516
– sequence: 3
  givenname: Abdelfattah A.
  surname: Eladl
  fullname: Eladl, Abdelfattah A.
  email: eladle7@mans.edu.eg
  organization: Mansoura University,Faculty of Engineering,Electrical Engineering Department,El-Mansoura,Egypt,35516
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Snippet This study presents an intelligent house energy management system that uses demand-side management load shifting to improve energy usage. This system optimizes...
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SubjectTerms Archimedes optimization algorithm
coordination
Costs
day-ahead and real-time scheduling
Electricity
Heuristic algorithms
Home appliances
Optimal scheduling
Power system dynamics
Pricing
Smart homes
Title Smart Building Demand Side Management Using Multi-Objective Archimedes Optimization Algorithms
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