Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 3001(1), P. 012030 - 012030
Published: April 1, 2025
Abstract With the advancement of energy transition, adoption photovoltaic systems in residential buildings has been increasing. However, their intermittent and unstable nature poses challenges to grid stability. Integrating storage batteries into building emerged as a key solution enhance reliability. Despite this, optimizing battery charging discharging strategies achieve self-sufficiency, peak load shaving, supply-demand balance remains challenge. This study introduces two control strategies: Rule Based Control (RBC) approach Reinforcement Learning model using Proximal Policy Optimization (PPO). These dynamically coordinate PV generation, user demand operations reduce dependency minimize fluctuations. Firstly, physics-informed machine learning was developed accurately predict flows under varying states, enabling informed decision-making on feedback or consumption. Results from experiments with real data indicate that combined use physics-based models can building-grid usage an accuracy up 92%. Furthermore, compares effectiveness RBC PPO refining strategies. Performance evaluations case demonstrate both (28% 94%) (27% 86%) significantly self-consumption outperforming traditional methods (15% 38%). In terms operational strategies, exhibits superior performance over stabilizing enhancing controllability. research offers new insights for interactions supports deployment integrated PV-storage applications.
Language: Английский
Citations
0International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 138, P. 914 - 927
Published: May 21, 2025
Language: Английский
Citations
0Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106514 - 106514
Published: June 1, 2025
Language: Английский
Citations
0Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 6596 - 6608
Published: June 1, 2025
Language: Английский
Citations
0Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 261, P. 125500 - 125500
Published: Oct. 9, 2024
Language: Английский
Citations
1Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский
Citations
1