This study focused on optimizing the performance of energy microgrids, factoring in economic and environmental metrics for day-ahead planning. The proposed microgrid features a combination of hybrid energy resources, which include power, heat, and hydrogen systems. . The interplay between energy, social sustainability, and the economic and environmental dimensions has prompted energy operators to explore various challenges associated with energy operations. In the upper optimization model, the wind–solar–storage capacity optimization model is. . A microgrid is a promising small-scale power generation and distribution system. The selling prices of wind turbine equipment (WT), photovoltaic generation equipment (PV), and battery energy storage equipment (BES) have a significant impact on microgrid profits, which, in turn, affects the planning. .
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Energy storage mitigates renewable energy curtailment by absorbing excess electricity generated during periods of high renewable output and low demand or grid constraints, then releasing it when demand is higher or grid capacity is available. . As the penetration of variable renewable energy increases, curtailment of solar PV generation will only increase. Since curtailment will almost always be cheaper than investing in new transmission capacity or new grid-scale storage, curtailed energy should be rewarded, so that PV investment. . curtailment is emerging as a common challenge facing a growing number of power systems. At its core, curtailment is a symptom of an insuficiently flexible power system. This reduces the need to limit renewable generation. .
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