A robust investment strategy for generation capacity in an uncertain demand and renewable penetration environment

Fiona Foucault, R. Girard, G. Kariniotakis
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引用次数: 2

Abstract

With the growing environmental and energetic concern, the issue of adapting our energy systems is paramount. This paper deals with the issue of new optimal energy mixes in a high renewable energy share context, and capacity investment in such a framework. We use the “screening curve” method to determine competitors' investments and deduce the benefit of a conventional generator. This work is carried out using a robust approach i.e. we determine a threshold of benefit we want to reach with a defined probability no matter the actual demand and renewable penetration. To determine this solution, we consider four demand scenarii and levels of installed capacity both for wind and for photovoltaic energy. This work is undertaken for the French case. Some results are shown for a coal power plant with 2030 scenarii for demand, wind and solar capacity.
在不确定的需求和可再生能源渗透环境下,为发电能力制定稳健的投资策略
随着对环境和能源问题的日益关注,调整我们的能源系统的问题是至关重要的。本文讨论了高可再生能源份额背景下的新最优能源组合问题,以及该框架下的产能投资问题。我们使用“筛选曲线”方法来确定竞争对手的投资,并推断出传统发电机的收益。这项工作是使用一种稳健的方法进行的,即无论实际需求和可再生渗透率如何,我们都要以定义的概率确定我们想要达到的效益阈值。为了确定这一解决方案,我们考虑了风能和光伏能源的四种需求情景和装机容量水平。这项工作是为法国案例进行的。一些结果显示了2030年情景下煤电厂的需求、风能和太阳能容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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