Hybrid optimization for sustainable design and sizing of
In this context, this paper presents a hybrid optimization methodology for designing and sizing standalone microgrids incorporating Solar PV, WT, DG, and BES, with a focus on
This study addresses the necessity of energy storage systems in microgrids due to the uncertainties in power generation from photovoltaic (PV) systems and wind turbines (WTs). The research focuses on designing and sizing hybrid energy resources, including PV, WT, hydrogen storage, and battery systems.
Overall, the HPWOA applied to the Solar PV/WT/BES/DG configuration stands out for its superior cost-effectiveness and reliability, making it the most optimal choice among the analyzed setups. Table 9 presents a comparative analysis of the microgrid sizing outcomes achieved using the same set of algorithms and configurations.
A double-layer optimization model of energy storage system capacity configuration and wind-solar storage micro-grid system operation is established to realize PV, wind power, and load variation configuration and regulate energy storage economic operation.
In this paper, the multi-objective optimal design of the energy resources in a microgrid is studied with participation ESSs such as battery and hydrogen storage systems. The objectives include (1) minimizing installation costs of resources, (2) maximizing penetration of the PV and WT, and (3) minimizing load shedding.
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