Cost allocation and risk management in renewable electricity networks

B. Tranberg
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引用次数: 1

Abstract

As part of the efforts to mitigate climate change, there has been rapidly increasing share of renewable power generation in the European electricity system. In the interest of bridging the gap between corporate and academic research interests, this PhD project presents a research collaboration on renewable electricity systems between Aarhus University and the energy trading company Danske Commodities. The first part of this dissertation has the perspective of a central planner exploring the optimal system design based on simplified fundamental models of the European electricity system. The aim is to determine the optimal locations and capacities of renewable generation sources while keeping the system reliable and cost-efficient. A subsequent step is to allocate the costs associated with the investments needed for the optimal electricity system of the future. I apply power flow tracing techniques for allocation of transmission system usage, cost allocation of generation capacities as well as consumption-based carbon accounting. In the second part, the perspective is changed to that of individual investors in renewable generation technologies, specifically wind turbines. I apply econometric models in the form of copulas to jointly model wind power production and power spot price. The goal is for an energy trading company to minimize the risk associated with long-term wind power purchase agreements, which, in turn, minimizes the risk of investors in these wind turbines. This provides additional incentives for similar investments and thereby increasing the share of renewable power generation in the European electricity system. Applying physical and financial models to different aspects of the European electricity system has led to insights on the differences between the two modeling perspectives. The central planning perspective is useful when exploring pragmatic solutions to the overall design of the European electricity system of the future, but provides no guidance for the individual actors in the system. In contrast, an investor in renewable generating assets focuses on a set of business goals with little regard to their impact on the overall electricity system. The link between the two perspectives is the policy makers, who regulate the electricity system. The results from system models using the central planning perspective can be used by the policy makers as guidelines to provide the right incentives for investors, and other actors in the system, such that the current European electricity system develops towards the optimal and sustainable system of the future.
可再生电力网络的成本分配与风险管理
作为减缓气候变化努力的一部分,可再生能源发电在欧洲电力系统中的份额迅速增加。为了弥合企业和学术研究兴趣之间的差距,这个博士项目提出了奥胡斯大学和能源贸易公司丹斯克商品之间的可再生电力系统研究合作。本文第一部分以中央规划者的视角,基于简化的欧洲电力系统基本模型,探讨了系统的最优设计问题。其目的是确定可再生能源发电的最佳位置和容量,同时保持系统的可靠性和成本效益。下一步是分配与未来最佳电力系统所需的投资相关的成本。我将潮流追踪技术应用于输电系统的使用分配、发电能力的成本分配以及基于消耗的碳核算。在第二部分,观点转变为个人投资者的可再生能源发电技术,特别是风力涡轮机。采用copulas形式的计量经济模型对风电生产和电力现货价格进行联合建模。能源贸易公司的目标是将与长期风电购买协议相关的风险降到最低,而长期风电购买协议反过来又将这些风力涡轮机投资者的风险降到最低。这为类似的投资提供了额外的激励,从而增加了可再生能源发电在欧洲电力系统中的份额。将物理和金融模型应用于欧洲电力系统的不同方面,使人们对两种建模视角之间的差异有了深刻的认识。在探索欧洲未来电力系统总体设计的务实解决方案时,中央规划观点是有用的,但对系统中的个体参与者没有提供指导。相比之下,可再生能源发电资产的投资者关注的是一套商业目标,很少考虑它们对整个电力系统的影响。将这两种观点联系起来的是监管电力系统的政策制定者。使用中央计划视角的系统模型的结果可以被政策制定者用作指导方针,为投资者和系统中的其他参与者提供正确的激励,从而使当前的欧洲电力系统朝着未来的最佳和可持续系统发展。
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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