In a shortage pricing (or else scarcity pricing) model, the goal is to create extra revenues whenever the electric system approaches a shortage situation and send market signals that will drive capacity investments. Shortage pricing aims at producing a substantial increase in prices under shortage conditions, thus providing better incentives for new flexibility capacity investment and operation while keeping the security of supply within strict acceptable levels. The shortage price is based on the Loss of Load Probability and the Value of Lost Load. The purpose of this study is to simulate the hypothetical implementation of a shortage pricing mechanism in the Greek balancing market in order to discover cases of reserve capacity scarcity and provide indications for further considerations toward capacity remuneration mechanisms for this system. A real dataset from the Greek TSO data portfolio was used for this purpose. We examine two case studies showcasing that the proposed shortage pricing function can considerably increase the shortage prices exactly when needed by the electric system. Finally, policy implications are provided regarding the future use of the shortage pricing in Greece and its integration in the EU balancing market platforms currently under development.

在短缺定价（或稀缺定价）模型中，目标是在电力系统遇到短缺状况时创造额外的收入，并发送可驱动容量投资的市场信号。短缺定价旨在在短缺情况下大幅提高价格，从而为新的灵活性能力投资和运营提供更好的激励，同时将供应的安全性保持在严格的可接受水平内。短缺价格基于负载概率损失和负载损失值。这项研究的目的是模拟希腊平衡市场中短缺定价机制的假设实施情况，以发现储备容量稀缺的情况，并为进一步考虑该系统的容量报酬机制提供指示。为此，使用了希腊TSO数据组合的真实数据集。我们研究了两个案例研究，这些案例表明建议的短缺定价功能可以在电力系统需要时准确地提高短缺价格。最后，提供了有关希腊短缺价格的未来使用及其在当前正在开发的欧盟平衡市场平台中的整合的政策含义。