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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Zusammenfassung: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.
DOI:10.1109/MEPCON58725.2023.10462410