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Short term constraints for a long term joint energy and reserve equilibrium

机译:长期联合能源和储备平衡的短期约束

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The increasing penetration of interruptible sources of energy is making security of supply a key aspect of present and future networks management, and reserves markets are gaining significant relevance. Demand representation used in traditional long term market models normally consists in a set of non chronological demand levels corresponding to hours with similar demand values. However, reserve issues are closely related with short term constraints (such as ramps), and this lack of chronological coupling does not allow for an appropriate representation of these technical constraints. This paper presents a joint energy and reserve conjectural equilibrium model that provides signal prices for both commodities and computes productions accordingly by satisfying system demand and reserve requirements. Generation is represented at a technological level, and water contributes to energy and reserve requirements with daily constraints. To reduce the feasible region, clustering is used to simplify hourly demand series into only a few daily patterns. In addition, keeping the link between hours and demand levels allows the model to combine short term technical constraints with traditional long term strategic planning constraints.
机译:可中断能源的日益普及使供应的安全性成为当前和未来网络管理的关键方面,而储备市场正变得越来越重要。传统的长期市场模型中使用的需求表示通常包含一组非时间顺序的需求水平,这些水平对应于具有相似需求值的小时数。但是,储备问题与短期限制因素(例如坡道)密切相关,并且由于缺乏时间顺序上的耦合,因此无法恰当地表示这些技术限制因素。本文提出了一个联合的能源和储备猜想均衡模型,该模型提供两种商品的信号价格,并通过满足系统需求和储备要求来相应地计算产量。发电代表了技术层面,而水则每天都在满足能源和储备需求。为了减少可行区域,使用聚类将每小时需求序列简化为仅几个每日模式。此外,保持工时与需求水平之间的联系可以使模型将短期技术约束与传统的长期战略规划约束相结合。

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