Reducing Power Losses in Smart Grids with Cooperative Game Theory

Javier B. Cabrera, M. Veiga, D. Morales, Ricardo A. Medina
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引用次数: 9

Abstract

In a theoretical framework of game theory, one can distinguish between the noncooperative and the cooperative game theory. While the theory of noncooperative games is about modeling competitive behavior, cooperative game theory is dedicated to the study of cooperation among a number of players. The cooperative game theory includes mostly two branches: the Nash negotiation and the coalitional game theory. In this chapter, we restrict our attention to the latter. In recent years, the concept of efficient management of electric power has become more complex as a result of the high integration of distributed energy resources in the scenarios to be considered, mainly distributed generation, energy storage distributed, and demand management. This situation has been accentuated with the appearance of new consumption elements, such as electric vehicles, which could cause a high impact on distribution gridworks if they are not managed properly. This chapter presents an innovative approach toward an efficient energy model through the application of the theory of cooperative games with transferable utility in which the management, capacity, and control of distributed energy resources are integrated to provide optimal energy solutions that allow achieving significant savings in associated costs. This chapter presents a general description of the potential of the application of the theory to address Smart Grid, providing a systematic treatment.
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利用合作博弈论降低智能电网的电力损耗
在博弈论的理论框架中,我们可以区分非合作博弈论和合作博弈论。非合作博弈理论关注的是对竞争行为的建模,而合作博弈理论则致力于研究多个参与者之间的合作。合作博弈论主要包括纳什协商和联盟博弈论两个分支。在本章中,我们只关注后者。近年来,由于要考虑的场景中分布式能源的高度集成化,主要是分布式发电、分布式储能和需求管理,电力高效管理的概念变得更加复杂。随着电动汽车等新的消费要素的出现,这种情况更加突出,如果管理不善,可能会对配电网造成很大影响。本章提出了一种创新的方法,通过应用具有可转移效用的合作博弈理论,建立高效的能源模型。在这种模型中,分布式能源的管理、容量和控制被整合在一起,以提供最优的能源解决方案,从而实现相关成本的显著节约。本章概述了应用该理论解决智能电网问题的潜力,并提供了系统的处理方法。
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