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arXiv 1609.01437cs.GTcs.SYeess.SY
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智能电网中用于车辆到电网能源交易的多层市场

A multi-layer market for vehicle-to-grid energy trading in the smart grid

University of California, Berkeley(加州大学伯克利分校);University of Miami(迈阿密大学)

Albert Y. S. Lam, Longbo Huang, Alonso Silva, Walid Saad

AI总结:

本文提出了一种多层市场机制,通过宏观层的双拍卖和微观层的聚合商,提高PHEV能源交易效率,通过仿真验证了该方法能显著提升PHEV的效用。

摘要:

在本文中,我们提出了一种用于车辆到电网能源交易的多层市场。在宏观层,我们考虑了一种双拍卖机制,其中电力公司作为拍卖人,能源买家和卖家进行交互。这种双拍卖机制是策略无偏的,并且在渐近意义上收敛。在微观层,聚合商(即宏观层中的卖家)通过佣金出售插电式混合电动车(PHEVs)的能源并最大化其效用。我们分析了宏观层和微观层之间的交互,并研究了一些简化案例。根据供应和需求的弹性,我们在不同场景下分析了效用。仿真结果表明,我们的方法可以显著增加PHEVs的效用。

英文摘要:

In this work, we propose a multi-layer market for vehicle-to-grid energy trading. In the macro layer, we consider a double auction mechanism, under which the utility company act as an auctioneer and energy buyers and sellers interact. This double auction mechanism is strategy-proof and converges asymptotically. In the micro layer, the aggregators, which are the sellers in the macro layer, are paid with commissions to sell the energy of plug-in hybrid electric vehicles (PHEVs) and to maximize their utilities. We analyze the interaction between the macro and micro layers and study some simplified cases. Depending on the elasticity of supply and demand, the utility is analyzed under different scenarios. Simulation results show that our approach can significantly increase the utility of PHEVs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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