Artificial Intelligence Review, Год журнала: 2025, Номер 58(7)
Опубликована: Апрель 16, 2025
Язык: Английский
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Фев. 18, 2025
The global shift towards decentralized energy systems, driven by the integration of distributed generation technologies and renewable sources, underscores critical need for effective management strategies in microgrids. This study proposes a novel multi-objective optimization framework grid-connected microgrids using quantum particle swarm (QPSO) to address dual challenges minimizing operational costs reducing environmental emissions. microgrid configuration analyzed includes sources like photovoltaic panels wind turbines, along with conventional battery storage. By incorporating quantum-inspired mechanics, QPSO overcomes limitations such as premature convergence solution stagnation, often seen traditional methods. Simulation results demonstrate that achieves 9.67% reduction costs, equating savings €158.87, 13.23% carbon emissions, lowering emissions 513.70 kg CO2 equivalent economic scheduling scenario. In environmentally constrained scenario, method delivers balanced €174.11 401.63 CO2. algorithm's performance is validated across various configurations, including standard low-voltage setups. These highlight QPSO's potential an efficient tool optimizing management, promoting both sustainability. provides robust achieving practical solutions real-world applications, emphasizing role advanced techniques sustainable systems.
Язык: Английский
Процитировано
0
iScience, Год журнала: 2025, Номер 28(3), С. 112121 - 112121
Опубликована: Фев. 27, 2025
Язык: Английский
Процитировано
0
Energy, Год журнала: 2025, Номер unknown, С. 135731 - 135731
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Artificial Intelligence Review, Год журнала: 2025, Номер 58(7)
Опубликована: Апрель 16, 2025
Язык: Английский
Процитировано
0