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Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory
IEEE Transactions on Sustainable Energy ( IF 8.8 ) Pub Date : 2021-02-01 , DOI: 10.1109/tste.2021.3055764
Georgios Tsaousoglou , Pierre Pinson , Nikolaos G. Paterakis

In modern smart grids, the focus is increasingly shifted towards distributed energy resources and flexible electricity assets owned by prosumers. A system with high penetration of flexible prosumers, has a very large number of variables and constraints, while a lot of the information is local and non-observable. Decomposition methods and local problem solving is considered a promising approach for such settings, particularly when the implementation of a decomposition method features a market-based analogy, i.e. it can be implemented in a Transactive Energy fashion. In this paper we present an auction-theoretic scheme for a setting with non-convex prosumer models and resource constraints. The scheme is evaluated on a particular case study and its scalability and efficiency properties are tested and compared to an optimal benchmark solution. A game-theoretic analysis is made with respect to how an intelligent agent, that bids on behalf of a prosumer can try to strategize within the auction, in order to make itself better-off. Our simulations show that there is an alignment of incentives, i.e., when the prosumers try to strategize, they actually improve the auction's efficiency.

中文翻译:

使用算法博弈论为灵活的产消者提供交互能量

在现代智能电网中,重点越来越转向产消者拥有的分布式能源和灵活电力资产。一个具有高度灵活生产消费者渗透率的系统,具有非常多的变量和约束,而许多信息是本地的且不可观察的。分解方法和局部问题解决被认为是此类设置的一种有前途的方法,特别是当分解方法的实施具有基于市场的类比时,即它可以以交互能源方式实施。在本文中,我们针对具有非凸产消者模型和资源限制的环境提出了一种拍卖理论方案。该方案根据特定案例研究进行评估,并测试其可扩展性和效率属性,并将其与最佳基准解决方案进行比较。对代表产消者出价的智能代理如何尝试在拍卖中制定策略以使自己变得更好的方式进行博弈论分析。我们的模拟表明,激励是一致的,即当产消者试图制定策略时,他们实际上提高了拍卖的效率。
更新日期:2021-02-01
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