Embedded cost allocation methods using game theory

P. S. Divya, M. Murali, M. S. Kumari, M. Sydulu
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引用次数: 1

Abstract

In deregulated electricity markets there is a strong need for effective allocation of fixed costs to market participants. The conventional usage based methods currently employed in market scenario may fail to send right economic signals. Hence in this paper, cooperative game theory is applied for power system fixed cost allocation. Increasing competition in the energy market can help maximize customers' payoffs. This can be achieved by applying game theory. In this regard, two solution methodologies such as Nucleolus and Shapley value are adopted in a Multilateral market. Both the methods have their pros and cons, while it can be inferred that Shapley value is a more preferable method when the solution is in the core of the game. In this paper, these methods are applied in case of IEEE 14 bus, New England 39 bus and Indian 75 bus power system and the results obtained are compared with the conventional usage based methods.
基于博弈论的嵌入式成本分配方法
在解除管制的电力市场中,迫切需要将固定成本有效地分配给市场参与者。目前在市场情景中采用的传统的基于使用的方法可能无法发出正确的经济信号。因此,本文将合作博弈论应用于电力系统固定成本的分配。能源市场竞争的加剧有助于客户收益的最大化。这可以通过运用博弈论来实现。在这方面,在多边市场上采用了Nucleolus和Shapley值两种解决方法。这两种方法各有利弊,但可以推断,当解决方案位于游戏核心时,Shapley值是更可取的方法。本文将这些方法应用于ieee14总线、新英格兰39总线和印度75总线的电力系统,并与传统的基于方法的结果进行了比较。
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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