基于大数据服务平台的电动汽车有序充放电管理

doi:10.3969/j.issn.1000-7229.2018.06.005

摘要/Abstract

摘要： 摘要：电动汽车（electric vehicle, EV）有序充放电管理可以促进错峰用电和平抑可再生能源发电出力波动。然而, 在需求侧, EV有序充放电管理还存在调度任务难执行、充放电参与不便利和信息交互不通畅等问题。在此背景下, 分别针对 “配电系统-EV” 层面和 “输电系统-配电系统” 层面制定EV有序充放电管理策略。首先, 针对在 “配电系统-用户” 层面的EV大量分散接入、难以统一优化的问题, 采用虚拟电厂（virtual power plant, VPP）建模, 并制定灵活的管理机制来引导EV有序充放电。为此, 开发多功能大数据服务平台（multi-function big-data service platform, MDSP）来分析EV的充放电特性, 并通过发布分时电价和签订EV短期充放电协议（short-term charging and discharging agreement, SCDA）等措施, 减小EV充放电功率预测不确定性对配电系统调度和运行的影响。接着, 基于在“配电系统-EV”层面预测的EV充放电功率, 建立“输电系统-配电系统”层面的双层分阶段机会约束规划模型；该模型分别以输电系统调度机构和VPP为上层和下层模型的优化主体, 并包括日前优化和实时优化2个阶段。最后, 对IEEE 30节点电力系统进行扩展, 形成包括输电和配电网络的87节点算例系统, 并用该系统对所提出的方法进行说明。

关键词:

Abstract: ABSTRACT： The coordinated charging and discharging management of electric vehicles （EVs） plays a significant role in improving load profiles and mitigating power fluctuation from renewable energy power generation. However, there are still some problems to be solved in the demand side, such as difficulty in enforcing dispatching tasks, inconvenience in charging and discharging, occasional interruptions of information interactions. Given this background, coordinated charging and discharging strategies are proposed separately for the two levels, i.e., “the power distribution system （PDS） to EVs” and “the power transmission system （PTS） to PDS”. Firstly, a flexible management mechanism for “PDS to EVs” level is proposed considering numerous decentralized EVs and hence heavy computational burden. To this end, a multi-function big data service platform （MDSP） is developed for analyzing the performance of charging and discharging of EVs, with respect to time-of-use （TOU） pricing and short-term charging and discharging agreement （SCDA）. On the basis of the predicted EV charging and discharging power from the “PDS to EVs” level, a bi-layer two-stage chance-constrained programming model is then proposed for the “PTS to PDS” level, in which the optimal subjects of upper layer and down layer are the independent system operator （ISO） in the transmission system and VPPs, separately, including day-ahead and real-time dispatching. Finally, a sample power system with 87 buses, including both PTS and PDS, is attained by expanding the IEEE 30-bus power system, and then served to demonstrate the features of the proposed method.

Key words:

KEYWORDS： electric vehicle （EV）, coordinated charging and discharging management, multi-function big-data service platform （MDSP）, virtual power plant （VPP）, demand side response, short-term charging and discharging agreement （SCDA）, bi-layer two-stage chance-constrained programming

中图分类号:

杨文涛, 王蕾, 邹波, 张西竹, 文福拴, 程敏 . 基于大数据服务平台的电动汽车有序充放电管理[J]. 电力建设, 2018, 39(6): 28-.

YANG Wentao, WANG Lei, ZOU Bo, ZHANG Xizhu, WEN Fushuan, CHENG Min . Coordinated Charging and Discharging Management of Electric Vehicles Based on a Multi-function Big Data Service Platform[J]. Electric Power Construction, 2018, 39(6): 28-.

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