半月刊

ISSN 1000-1026

CN 32-1180/TP

+高级检索 English
计及需求差异的电动汽车并网滚动时域优化
作者:
作者单位:

华北电力大学电气与电子工程学院,北京市102206

摘要:

考虑电动汽车(EV)并网后用户的差异性需求,提出一种计及需求差异的EV并网优化控制策略。首先,根据需求差异将并网EV集细化为刚性集、可削减集及灵活集3个子集,并分别建立充放电控制模型。其次,建立用户行为模式模型,描述用户行为模式的分布特征,进而制定计划功率需求。最后,以实际功率与计划功率偏差及功率波动最小为目标,提出并网EV的滚动时域优化策略,每一轮优化将可削减集及灵活集中EV功率增量作为最优控制变量在充放电控制模型约束下求解。实验分析证明,所提优化策略保证了实际功率符合计划功率的同时兼顾了用户的差异性需求,对并网过程中随机动态因素具有一定的鲁棒性。

关键词:

基金项目:

中央高校基本科研业务费专项资金资助项目(2019QN123)。

通信作者:

张丙旭(1991—),男,通信作者,博士研究生,主要研究方向:电动汽车并网、分布式能源协同优化。E-mail:bxu_zhang@163.com

作者简介:

许刚(1963—),男,博士,教授,博士生导师,主要研究方向:分布式能源协同优化、智能电网信息处理。E-mail:xugang@ncepu.edu.cn


Rolling Horizon Optimization for Grid-connected Electric Vehicles Considering Demand Difference
Author:
Affiliation:

School of Electrical & Electronic Engineering, North China Electric Power University, Beijing102206, China

Abstract:

An optimal control strategy for grid-connected electric vehicles (EVs) considering demand difference is proposed, which considers the different demands of EV users. Firstly, the grid-connected EVs are divided into three subsets, including rigid set, reducible set and flexible set according to the demand differences, and the charging-discharging control model is established, respectively. Then, the behavior model of EV users is constructed to describe the distribution characteristics of the user behavior, and then the planned power demand is formulated. Finally, the rolling horizon optimization strategy for grid-connected EVs is proposed with the objective of minimizing deviation between actual power and planned power and power fluctuation. The power increments of EVs in reducible set and flexible set are taken as the optimal control variables and solved under the constraints of the charging-discharging control model in every optimization round. Experimental analysis shows that the proposed optimization strategy ensures that the actual power matches the planned power while taking into account the different demands of users. Moreover, it is robust to random dynamic factors during the course of grid integration.

Keywords:

Foundation:
This work is supported by Fundamental Research Funds for the Central Universities (No. 2019QN123).
引用本文
[1]张丙旭,许刚.计及需求差异的电动汽车并网滚动时域优化[J].电力系统自动化,2020,44(13):106-114. DOI:10.7500/AEPS20191014006.
ZHANG Bingxu, XU Gang. Rolling Horizon Optimization for Grid-connected Electric Vehicles Considering Demand Difference[J]. Automation of Electric Power Systems, 2020, 44(13):106-114. DOI:10.7500/AEPS20191014006.
复制
分享
历史
  • 收稿日期:2019-10-14
  • 最后修改日期:2020-02-23
  • 录用日期:
  • 在线发布日期: 2020-07-03
  • 出版日期:
相关附件