A Capacity Optimization Method for a Hybrid Energy Storage Microgrid System Based on an Augmented ε- Constraint Method

In general, microgrids have a high renewable energy abandonment rate and grid construction operation costs. To improve the microgrid utilization rate, economic advantages, environmental safety of power operation, we propose hybrid storage capacity optimization method for wind–solar–diesel grid-connected system, based on an augmented ε- constraint method. First, battery is coupled with seasonal hydrogen system to establish model that avoids shortcomings traditional systems, such as single mode small capacity. Second, by considering comprehensive cost carbon emissions within planning period objective function, evaluation index, electric operating conditions main constraints, allocation can be constructed. Finally, implemented optimize above; entropy–TOPSIS used select configuration scheme. By comparative analysis, results show effectively local absorption wind solar radiation, significantly reduce microgrids.