This paper proposes a day-ahead market framework for congestion management in smart distribution networks. The presented scheme provides a platform for collaboration between distribution-level market operator (DMO) and data traffic operator (DTO) to alleviate congested feeders such that data transmission traffic between market participants is effectively managed in a smart grid. In addition, a decentralized mechanism is developed for collaboration of electric vehicle (EV) aggregators with common clients to take advantage of EVs not only as flexible loads but also as mobile distributed storage (MDS) for congestion management. Moreover, the proposed framework outlines an administrative action for distribution system operator (DSO) to support the market when the decentralized competitions among distributed generation (DG) aggregators and EV aggregators do not fully relieve a serious congestion. The proposed day-ahead congestion management scheme is validated on an unbalanced 136-bus distribution system massively integrated with wind turbine DGs (WTDGs), photovoltaic DGs (PVDGs), diesel-engine DGs (DEDGs), and EVs.

中文翻译：

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考虑电动汽车集成商之间协作的智能配电网分散式拥塞管理市场框架

本文提出了一种用于智能配电网中拥塞管理的超前市场框架。提出的方案提供了一个平台，用于在分销级市场运营商（DMO）和数据流量运营商（DTO）之间进行协作，以缓解拥挤的馈线，从而在智能电网中有效地管理市场参与者之间的数据传输流量。此外，还开发了一种分散的机制，用于电动汽车（EV）聚合商与普通客户的协作，以不仅利用EV作为灵活的负载，而且利用移动分布式存储（MDS）进行拥塞管理。此外，提议的框架概述了当分布式发电（DG）集成商和EV集成商之间的分散竞争不能完全缓解严重的交通拥堵时，配电系统运营商（DSO）的行政行为，以支持市场。拟议的提前拥堵管理方案已在与风轮机DG（WTDG），光伏DG（PVDG），柴油机DG（DEDG）和EV大规模集成的不平衡136总线配电系统上得到了验证。