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A Demand-Side Pricing Strategy Based on Bayesian Game

机译:基于贝叶斯博弈的需求侧定价策略

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Demand response can improve the stability of power system and reduce the operation cost. This paper design a pricing scheme to balance the energy demand and supply based on demand response in smart grid. In the demand side, a Bayesian game is formulated to model the interaction of multiple consumers because each consumer's utility function is private. The utility company announces a regulation price which can change the Bayesian Nash equilibrium and the energy demand of consumers. We develop an algorithm to update the regulation price until the energy demand match the energy supply. Numerical results demonstrate that the algorithm make the regulation price converge to a stable state and balance the energy supply and demand.
机译:需求响应可以提高电力系统的稳定性,降低运营成本。本文设计了一种基于智能电网需求响应的能量供需平衡定价方案。在需求方面,由于每个消费者的效用函数是私有的,因此制定了贝叶斯博弈模型以建模多个消费者的交互。公用事业公司宣布了一项调节价格,该价格可以改变贝叶斯纳什均衡和消费者的能源需求。我们开发了一种算法来更新管制价格,直到能源需求与能源供应匹配为止。数值结果表明,该算法使调节价格收敛到稳定状态,平衡了能源的供求关系。

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