August 14, 2025SustainabilityOpen Access

Pareto-Based Optimization of PV and Battery in Home-PV-BES-EV System with Integrated Dynamic Energy Management Strategy

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Multi-objective optimization improves cost and renewable energy in home PV-BES-EV systems, indicating significant GHG benefits.

The system achieves a cost of energy of USD 0.0554/kWh, with a loss of power supply probability of only 1.96%.
Simulation results indicate the potential for a renewable energy fraction of 92.55%, demonstrating high efficiency.
The optimization combines advanced techniques with fuzzy logic to balance economic and environmental objectives.
Integration of electric vehicles in V2H mode enhances flexibility in household energy management, showcasing innovative approaches.

Aldaliee et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark