ArticleScientific reports2025
Optimizing sustainable energy management in grid connected microgrids using quantum particle swarm optimization for cost and emission reduction.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- A barrel theory-based optimization of stochastic PV-DG integration in radial distribution networks under load and solar uncertainties.Scientific reports · 2026Article
- A multilayered framework for advancing rapid and cost-effective electric power system decarbonization.PNAS nexus · 2026Article
- Dynamic economic-entropy regulation of community-scale green hydrogen supply chains with carbon-microgrid coupling.iScience · 2026Article
- Optimal design and operation of grid-connected hybrid microgrid system using pelican optimization algorithm.Scientific reports · 2026Article
- Enhanced sliding mode control for parallel-integrated boost converters in hybrid solar-wind systems.Scientific reports · 2026Article
- Cyber attack and fault detection in DC microgrids by designing an event-triggered based-robust algorithm.Scientific reports · 2026Article
- Integrated energy scheduling for grid-connected microgrids using battery degradation-aware optimization and coordinated control strategies.Scientific reports · 2025Article
- Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids.Scientific reports · 2025Article
- A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems.Scientific reports · 2025Article
- Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation.Scientific reports · 2025Article
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Authors and funding
7 authors.
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Abstract
The global shift towards decentralized energy systems, driven by the integration of distributed generation technologies and renewable energy sources, underscores the critical need for effective energy management strategies in microgrids. This study proposes a novel multi-objective optimization framework for grid-connected microgrids using quantum particle swarm optimization (QPSO) to address the dual challenges of minimizing operational costs and reducing environmental emissions. The microgrid configuration analyzed includes renewable energy sources like photovoltaic panels and wind turbines, along with conventional energy sources and battery storage. By incorporating quantum-inspired mechanics, QPSO overcomes limitations such as premature convergence and solution stagnation, often seen in traditional methods. Simulation results demonstrate that QPSO achieves a 9.67% reduction in operational costs, equating to savings of €158.87, and a 13.23% reduction in carbon emissions, lowering emissions to 513.70 kg of CO
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