Cost Allocation of Energy Storage based on Cost Causation and Cooperative Game

Kan Yang, Wenxin Qiu, Z. Lan, Xin Fang, Hengjian Fan
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Abstract

A complex problem in the new power system is the uncertainty and variability of renewable energy resources. With the rapid development of user-side distributed generation technology, it has become an important development trend to improve the reliability and economy of community energy use by configuring energy storage. This paper studies the energy storage sharing model of multi-agent cooperative investment in community. To maximize the economic benefit and fairness, this paper considers the ES cost allocation via cost causation and coalition game. Based on the principle of cost causation, this paper improves the traditional Shapley value model. Cost causation is a commonly used principle for considering fairness and has a long tradition in power system. We applied the improved Shapley value method to equitably distribute the energy storage costs among the main bodies of communities. The fairness and computational efficiency of the method were proved by the case study. The improved Shapley model reduced the computation amount and ensured the fairness versus the exponential information required by Shapley model.
基于成本因果和合作博弈的储能成本分配
新型电力系统的一个复杂问题是可再生能源的不确定性和可变性。随着用户侧分布式发电技术的快速发展,通过配置储能来提高社区用电的可靠性和经济性已成为一个重要的发展趋势。研究了社区多智能体合作投资的储能共享模型。为了使经济效益和公平最大化,本文考虑了成本因果关系和联盟博弈的ES成本分配。本文基于成本因果原理,对传统的Shapley价值模型进行了改进。成本因果关系是一种常用的公平原则,在电力系统中有着悠久的传统。采用改进的Shapley值法,将储能成本在社区主体之间进行公平分配。通过算例验证了该方法的公平性和计算效率。改进的Shapley模型相对于Shapley模型所需的指数信息,减少了计算量,保证了公平性。
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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