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Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach

机译:以消费者为中心的能源交易中管理价格不确定性:a   前景 - 理论stackelberg博弈方法

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摘要

In this paper, the problem of energy trading between smart grid prosumers,who can simultaneously consume and produce energy, and a grid power company isstudied. The problem is formulated as a single-leader, multiple-followerStackelberg game between the power company and multiple prosumers. In thisgame, the power company acts as a leader who determines the pricing strategythat maximizes its profits, while the prosumers act as followers who react bychoosing the amount of energy to buy or sell so as to optimize their currentand future profits. The proposed game accounts for each prosumer's subjectivedecision when faced with the uncertainty of profits, induced by the randomfuture price. In particular, the framing effect, from the framework of prospecttheory (PT), is used to account for each prosumer's valuation of its gains andlosses with respect to an individual utility reference point. The referencepoint changes between prosumers and stems from their past experience and futureaspirations of profits. The followers' noncooperative game is shown to admit aunique pure-strategy Nash equilibrium (NE) under classical game theory (CGT)which is obtained using a fully distributed algorithm. The results are extendedto account for the case of PT using algorithmic solutions that can achieve anNE under certain conditions. Simulation results show that the total grid loadvaries significantly with the prosumers' reference point and theirloss-aversion level. In addition, it is shown that the power company's profitsconsiderably decrease when it fails to account for the prosumers' subjectiveperceptions under PT.
机译:本文研究了可以同时消耗和生产能源的智能电网生产者之间的能源交易问题,并研究了一家电网公司。问题被表述为电力公司和多个生产者之间的单领​​导者,多关注者的Stackelberg游戏。在此游戏中,电力公司充当领导者,负责确定将其利润最大化的定价策略,而生产者则充当追随者,他们通过选择买卖能源的量来做出反应,以优化其当前和未来的利润。当面对随机期货价格引起的利润不确定性时,建议的博弈解释了每个生产者的主观决定。特别地,来自前景理论(PT)框架的框架效应用于说明每个生产者相对于单个效用参考点的收益和损失估值。参考点在生产者之间变化,源于他们过去的经验和对利润的未来期望。跟随者的非合作博弈被证明可以接受经典博弈论(CGT)下的唯一纯策略纳什均衡(NE),该博弈是使用完全分布式算法获得的。结果扩展到考虑使用在特定条件下可以实现anNE的算法解决方案的PT情况。仿真结果表明,总电网负荷随生产者的参考点和损失厌恶程度而显着变化。此外,还表明,如果电力公司没有考虑到PT下的生产者的主观感受,其利润就会大幅下降。

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