Event Title

A Hierarchical Game Framework for Vehicle-to-Grid Frequency Regulation in a Competitive Electricity Market

Mentor 1

LINGFENG WANG

Location

Union Wisconsin Room

Start Date

29-4-2016 1:30 PM

End Date

29-4-2016 3:30 PM

Description

With the development of the promising vehicle-to-grid (V2G) technology, plug-in hybrid electric vehicles (PHEVs) are considered to be a crucial technology of modern power systems as they can not only serve as distributed energy resources, but also provide a bunch of benefits to power systems when being integrated into the grid, such as providing frequency regulation capacities through V2G aggregators. However, effective provision of this ancillary service can be a challenging task considering the uncertainty from the electricity prices, coupled with the conflict of interests between PHEV owners, PHEV aggregators and the power grid. Therefore, our major aim is to build a viable and innovative business model for PHEVs to address these issues effectively and efficiently. This study first proposes a load frequency control (LFC) system with PHEVs. Then, a hierarchical game framework will be proposed to enable PHEVs to provide frequency regulation in a competitive electricity market. The proposed hierarchical game features a two-level structure. At the upper level, the aggregators bid frequency regulation prices through a non-cooperative game. Based on the regulation prices from the upper level, a Markov game is formulated at the lower level to coordinate the charging process of PHEVs. In this study, we carry out various simulations to validate the effectiveness of the proposed approach, and the results show the salient advantages of our proposed approach in several aspects. The proposed approach is able to significantly reduce the frequency fluctuations. Also, the peak load of the V2G residential distribution network is reduced. Finally, the proposed approach achieves the highest economic benefits through intelligent management of the PHEVs' charging process. The details of the LFC system model and the architecture of the proposed hierarchical game framework will be introduced in this presentation. Also the main simulation results will be shown.

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Apr 29th, 1:30 PM Apr 29th, 3:30 PM

A Hierarchical Game Framework for Vehicle-to-Grid Frequency Regulation in a Competitive Electricity Market

Union Wisconsin Room

With the development of the promising vehicle-to-grid (V2G) technology, plug-in hybrid electric vehicles (PHEVs) are considered to be a crucial technology of modern power systems as they can not only serve as distributed energy resources, but also provide a bunch of benefits to power systems when being integrated into the grid, such as providing frequency regulation capacities through V2G aggregators. However, effective provision of this ancillary service can be a challenging task considering the uncertainty from the electricity prices, coupled with the conflict of interests between PHEV owners, PHEV aggregators and the power grid. Therefore, our major aim is to build a viable and innovative business model for PHEVs to address these issues effectively and efficiently. This study first proposes a load frequency control (LFC) system with PHEVs. Then, a hierarchical game framework will be proposed to enable PHEVs to provide frequency regulation in a competitive electricity market. The proposed hierarchical game features a two-level structure. At the upper level, the aggregators bid frequency regulation prices through a non-cooperative game. Based on the regulation prices from the upper level, a Markov game is formulated at the lower level to coordinate the charging process of PHEVs. In this study, we carry out various simulations to validate the effectiveness of the proposed approach, and the results show the salient advantages of our proposed approach in several aspects. The proposed approach is able to significantly reduce the frequency fluctuations. Also, the peak load of the V2G residential distribution network is reduced. Finally, the proposed approach achieves the highest economic benefits through intelligent management of the PHEVs' charging process. The details of the LFC system model and the architecture of the proposed hierarchical game framework will be introduced in this presentation. Also the main simulation results will be shown.