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Dynamic Sale Price Setting for Load Serving Entity’s Profit Maximization

机译:负载服务实体利润最大化的动态销售价格设置

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This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer’s elastic demand. LSE determines these decisions to maximize its profit at a given level of risk. Consumer’s elastic demand is considered by its price elasticity, and price uncertainty is modeled using the mean-variance approach. Optimal decisions of risk-neutral and risk-averse LSE are illustrated through a case study. Results indicate that LSE builds consumer demand by lowering sale prices during solar energy availability hours to utilize it optimally.
机译:本文提出了一种优化模型,可在太阳能的情况下确定负载实体(LSE)的最佳动态销售价格和最佳能量采购决策,以供消费者的弹性需求。 LSE决定了这些决定,以在特定的风险水平上最大化其利润。消费者的弹性需求被其价格弹性所考虑,并且使用平均方差方法建模价格不确定性。通过案例研究说明风险中立和风险厌恶LSE的最佳决策。结果表明,在太阳能可用性时间内降低销售价格,LSE通过降低销售价格来实现消费需求。

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