电力市场模型中的最优容量调整——基于运营边际和相关供应堆栈的迭代方法

B. Böcker, R. Leisen, C. Weber
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引用次数: 1

摘要

能源系统的建模通常需要平衡两个方面。高水平的细节,例如,一方面是技术限制,另一方面是长期系统优化分析。当专注于两个方面中的一个时,可以在合理的时间内求解模型。为了在一个模型中结合这两个方面,我们使用特定于问题的迭代方法。详细的系统模型与投资的迭代调整相关联。这是基于次梯度优化方法。该方法可以描述为一个详细的调度模型,并对投资模型进行调整。结果表明,该算法对于程式化模型是非常有效的。对于更大的模型,性能还不足以满足日常实际使用,但是确定了几个需要进一步改进的元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Capacity Adjustments in Electricity Market Models – An Iterative Approach Based on Operational Margins and the Relevant Supply Stack
The modelling of energy systems often has to balance two aspects. High level of detail, e.g. technical constraints on the one hand and analysis of long-term system optimization on the other. When focusing on one of the two aspects, models can be solved in a reasonable time. In order to combine both aspects in one model we use a problem-specific iterative approach. A detailed system model is linked to iterative adjustments of investments. This is based on a subgradient method of optimization. The approach can be described as a detailed dispatch model with adjustments towards an investment model. The results show that the algorithm is quite efficient for a stylized model. For a larger model, performance is not yet sufficient for day-to-day practical use, but several elements for further improvement are identified.
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