Joint Optimal Power Flow Routing and Decentralized Scheduling with Vehicle-to-Grid Regulation Service

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Pub Date : 2018-10-01 DOI:10.1109/SmartGridComm.2018.8587593

Shiyao Zhang, Ka-Cheong Leung

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引用次数: 6

Abstract

The collection of electric vehicles (EVs) can be regarded as a massive storage to the power grid so as to provide vehicle-to-grid (V2G) ancillary services, such as frequency regulation. In this paper, a novel hierarchical framework for joint optimal power flow routing and decentralized scheduling with V2G regulation services is proposed. First, the optimal power flow is formulated by incorporating with power flow routers (PFRs). The problem is solved through the semidefinite programming (SDP) relaxation to pursue the optimal solution. Second, the scheduling problem with V2G regulation service is proposed as a convex optimization problem. The related decentralized algorithm is then devised in order to find the schedules of EVs. Our simulation results show that voltage regulation is effectively achieved and PFRs can help reduce the apparent power loss of the system significantly. In addition, the decentralized scheduling algorithm with V2G regulation service can smooth out the power fluctuations at the buses attached with EVs.

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车网调节服务下的联合最优潮流路径与分散调度

电动汽车的集束可以看作是对电网的大规模存储，从而提供车对网(V2G)的辅助服务，如频率调节。本文提出了一种具有V2G调节业务的联合最优潮流路由和分散调度的分层框架。首先，结合潮流路由器(PFRs)制定最优潮流。采用半定规划(SDP)松弛法求解，追求最优解。其次，将具有V2G调节业务的调度问题作为凸优化问题提出。然后设计了相关的去中心化算法，以找到电动汽车的调度。仿真结果表明，PFRs有效地实现了电压调节，显著降低了系统的视在功率损耗。另外，基于V2G调节服务的分布式调度算法可以平滑电动汽车附车母线的功率波动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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