Economic-Driven Optimal Sizing of Energy Storage System in Microgrid with Multi-Stakeholders

Multi-Objective Optimization of a Hybrid Energy Storage System for Community Loads Using a Decomposition-Based Evolutionary Algorithm

The inherent intermittency of renewable energy sources and the mismatch between generation and community load demand pose significant challenges to the reliability of microgrids. To address these issues, this paper proposes a robust multi-objective optimization framework for the capacity sizing of a Hybrid Renewable En...

Stochastic energy management strategy for microgrid-connected electric vehicle charging infrastructure

Ensuring the reliability and stability of standalone microgrids (MGs) is fundamental to the effective integration of renewable energy sources, which are inherently uncertain. This work presents a stochastic optimization model using mixed-integer linear programming (MILP) to determine the optimal operation of electric v...

Multi-time scale optimal scheduling strategy for microgrids considering electric vehicle aggregations and energy storage lifetime

To address the challenges posed by the increasing penetration of renewable energy and electric vehicles (EVs)—such as output fluctuations, time-varying electricity prices, and battery degradation—this study proposes a multi-timescale optimal scheduling method for microgrids that incorporates vehicle–grid interaction-ba...

Integrated Degradation-Aware and Uncertainty-Driven Techno-Economic Planning of Hybrid Renewable Microgrids

Hybrid renewable microgrids are increasingly considered a practical solution for supplying reliable and sustainable electricity to remote regions. However, many planning studies do not consider the longer-term effects of battery degradation and the effect of changing operating conditions on system performance. This stu...

Optimal low-carbon dispatch of an integrated energy microgrid considering flywheel loss characteristics and renewable uncertainty

Optimal Sizing and Operational Strategy of Hybrid Wind-Photovoltaic Systems with Energy Storage Using Crisscross Moss Growth Optimization

Hybrid wind-photovoltaic (PV) systems with energy storage play an important role in sustainable and reliable power generation, offering flexibility to meet variable energy demands. However, large-scale deployment of such systems faces challenges due to high costs, inefficient sizing, and the limited lifespan of energy...