Optimal Capacity Adjustments in Electricity Market Models – An Iterative Approach Based on Operational Margins and the Relevant Supply Stack

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

Abstract

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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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
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。
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