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Time-dependent electricity pricing using variable announcement horizons
Energy Informatics Pub Date : 2020-10-28 , DOI: 10.1186/s42162-020-00117-5
Philipp Artur Kienscherf , John Collins , Carlee Joe-Wong , Wolfgang Ketter , Soumya Sen

In the battle against climate change, electrification plays an increasingly large role in our society. The growing use of electricity networks requires advanced coordination mechanisms to avoid the tragedy of the commons. In this paper, we explore the effects of optimum time-dependent pricing (TDP) on supplier surplus within electricity markets, using a parameterized optimization model. Varying not only the prices themselves, but also their announcement horizon, we show how the suppliers’ optimal decision depends on risk aversion, forecasting quality, and end-user flexibility. The inclusion of procurement risk in our model shows that TDP can be beneficial for suppliers when they want to actively manage risk, even if expected profits are lower. At the same time, the shifting of end-user demand to low-cost times reduces the overall system cost, and potentially carbon emissions.

中文翻译:

使用可变的发布时间范围的随时间变化的电价

在应对气候变化的斗争中,电气化在我们的社会中扮演着越来越重要的角色。电力网络的使用日益增长,需要先进的协调机制来避免公地悲剧。在本文中,我们使用参数化优化模型探索最优时变定价(TDP)对电力市场中供应商剩余的影响。我们不仅会改变价格本身,而且会改变其发布范围,从而说明供应商的最佳决策如何取决于风险规避,预测质量和最终用户的灵活性。将采购风险包括在我们的模型中表明,TDP可在供应商希望积极管理风险时对他们有利,即使预期利润较低。同时,将最终用户需求转移到低成本时代降低了整体系统成本,
更新日期:2020-10-30
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