Abstract
ABSTRACT This study investigated the mitigation of solar-resource variation for utilization in power systems. A 24-h dynamic economic dispatch using particle swarm optimization was employed to analyze the impacts of the solar-load correlations on the solar power absorption and thus the generation cost. The positive and negative solar-load correlation conditions resulted in the best and worst solar absorption capabilities, respectively. The positive solar-load correlation initially exhibited a higher total cost of generation but was the most cost-effective when demand-side management was implemented. This study is useful for the grid integration of solar photovoltaics when power storage is not feasible.
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