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

J. Villar, F. A. Campos, C. Díaz
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引用次数: 3

Abstract

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.
长期联合能源和储备平衡的短期约束
可中断能源的日益普及使供应安全成为当前和未来电网管理的一个关键方面,而储备市场正日益重要。传统长期市场模型中使用的需求表示通常由一组非时间顺序的需求水平组成,这些需求水平对应于具有相似需求值的小时数。然而,储备问题与短期限制(如坡道)密切相关,缺乏时间顺序的耦合不允许适当地表示这些技术限制。在满足系统需求和储备要求的前提下,提出了一种能源和储备联合推测均衡模型,该模型提供了两种商品的信号价格,并据此计算产量。发电是在技术层面上表现出来的,水在日常限制下有助于能源和储备需求。为了缩小可行区域,采用聚类方法将小时需求序列简化为少量的日模式。此外,保持小时数和需求水平之间的联系允许模型将短期技术约束与传统的长期战略规划约束结合起来。
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