Enhanced Energy Management System in Smart Homes Considering Economic, Technical, and Environmental Aspects: A Novel Modification-Based Grey Wolf Optimizer DOI Creative Commons
Moslem Dehghani, Mosayeb Bornapour, Ehsan Sheybani

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1071 - 1071

Published: Feb. 22, 2025

Increasingly, renewable energy resources, storage systems (ESSs), and demand response programs (DRPs) are being discussed due to environmental concerns smart grid developments. An innovative home appliance scheduling scheme is presented in this paper, which incorporates a local with wind turbines (WTs), photovoltaic (PV), ESS, connected an upstream grid, schedule household appliances while considering various constraints DRP. Firstly, the specified as non-shiftable shiftable (interruptible, uninterruptible) loads, respectively. Secondly, enhanced mathematical formulation for management considers real-time price of grids, WT, PV, also sold from microgrid. Three objective functions considered proposed management: electricity bill, peak-to-average ratio (PAR), pollution emissions. To solve optimization problem, novel modification-based grey wolf optimizer (GWO) proposed. When wolves hunt prey, other wild animals try steal prey or some part hence they should protect prey; therefore, modification mimics battle between hunted prey. This improves performance GWO finding best solution. Simulations examined compared under different conditions explore effectiveness efficiency suggested simultaneously optimizing all three functions. Also, both improved (IGWO) scenarios, shows that IGWO improvement has better more robust. It been seen results framework can significantly diminish costs, PAR, emissions simultaneously.

Language: Английский

Enhanced Energy Management System in Smart Homes Considering Economic, Technical, and Environmental Aspects: A Novel Modification-Based Grey Wolf Optimizer DOI Creative Commons
Moslem Dehghani, Mosayeb Bornapour, Ehsan Sheybani

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1071 - 1071

Published: Feb. 22, 2025

Increasingly, renewable energy resources, storage systems (ESSs), and demand response programs (DRPs) are being discussed due to environmental concerns smart grid developments. An innovative home appliance scheduling scheme is presented in this paper, which incorporates a local with wind turbines (WTs), photovoltaic (PV), ESS, connected an upstream grid, schedule household appliances while considering various constraints DRP. Firstly, the specified as non-shiftable shiftable (interruptible, uninterruptible) loads, respectively. Secondly, enhanced mathematical formulation for management considers real-time price of grids, WT, PV, also sold from microgrid. Three objective functions considered proposed management: electricity bill, peak-to-average ratio (PAR), pollution emissions. To solve optimization problem, novel modification-based grey wolf optimizer (GWO) proposed. When wolves hunt prey, other wild animals try steal prey or some part hence they should protect prey; therefore, modification mimics battle between hunted prey. This improves performance GWO finding best solution. Simulations examined compared under different conditions explore effectiveness efficiency suggested simultaneously optimizing all three functions. Also, both improved (IGWO) scenarios, shows that IGWO improvement has better more robust. It been seen results framework can significantly diminish costs, PAR, emissions simultaneously.

Language: Английский

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