Stochastic Decoupling Collaborative Dispatch Considering Integration of Large-scale Electric Vehicles and Wind Power

Xiaolin GE; Guangdong HAO; Shu XIA; Yang FU

doi:10.7500/AEPS20190227003

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Stochastic Decoupling Collaborative Dispatch Considering Integration of Large-scale Electric Vehicles and Wind Power

Basic Research | 更新时间：2025-06-16

- Stochastic Decoupling Collaborative Dispatch Considering Integration of Large-scale Electric Vehicles and Wind Power
- Automation of Electric Power Systems Vol. 44, Issue 4, Pages: 54-62(2020)
- 作者机构：
  
  1. 上海电力大学电气工程学院,上海市200090
  2. 国网江苏省电力有限公司盐城供电公司,江苏省盐城市 224005
  3. 上海市电力公司市北供电公司,上海市 200072
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;Scientific Research Plan Project of Shanghai Science and Technology Commission;Local Capacity-building Plan of Shanghai Municipal Science and Technology Commission
- DOI：10.7500/AEPS20190227003
  CLC：
- Received：27 February 2019，
  
  Revised：2019-06-11，
  
  Published Online：29 October 2019，
  
  Published：25 February 2020
- 稿件说明：
移动端阅览
葛晓琳,郝广东,夏澍等.考虑规模化电动汽车与风电接入的随机解耦协同调度[J].电力系统自动化,2020,44(04):54-62.

GE Xiaolin,HAO Guangdong,XIA Shu,et al.Stochastic Decoupling Collaborative Dispatch Considering Integration of Large-scale Electric Vehicles and Wind Power[J].Automation of Electric Power Systems,2020,44(04):54-62.
葛晓琳,郝广东,夏澍等.考虑规模化电动汽车与风电接入的随机解耦协同调度[J].电力系统自动化,2020,44(04):54-62. DOI： 10.7500/AEPS20190227003.

GE Xiaolin,HAO Guangdong,XIA Shu,et al.Stochastic Decoupling Collaborative Dispatch Considering Integration of Large-scale Electric Vehicles and Wind Power[J].Automation of Electric Power Systems,2020,44(04):54-62. DOI： 10.7500/AEPS20190227003.

摘要

大规模电动汽车并网和风电出力的随机性增加了电力系统安全经济运行的难度。针对风电出力难以预测的特点

同时兼顾电网侧和电动汽车聚合商侧的运行效益

建立了风电、火电以及电动汽车鲁棒双层随机优化调度模型。为了提高求解效率

基于近似Benders算法构建了电动汽车与电网之间的互动关系。此外

针对规模化电动汽车之间难以协同优化的问题

运用辅助问题原理对电动汽车个体之间的耦合关系进行了解耦

将电动汽车群的联合优化转化成为单辆电动汽车调度的并行计算

实现了对电动汽车个体的调度。最后

针对改进的IEEE 39节点算例进行了仿真分析

验证了所提模型和算法的有效性。

Abstract

The randomness of large-scale electric vehicles (EVs) connected to power grid and wind power output increases the difficulty of safe and economic operation of power system. In view of the unpredictable characteristics of wind power output and considering operational benefits of system and EV aggregators

a robust two-layer stochastic optimal dispatch model of wind power

thermal power and EVs is established. In order to improve the solution efficiency

the interaction between EVs and power grid is constructed based on the approximate Benders algorithm. In addition

in order to solve the problem of difficult coordination and optimization between large-scale EVs

the coupling relationship between individual EVs is decoupled by the auxiliary problem principle

and the joint optimization of EV groups is transformed into the parallel computation of a single EV dispatch

which realizes the individual dispatch of EV. Finally

the simulation analysis of the improved IEEE 39-bus system is carried out to verify the effectiveness of the proposed model and algorithm.

关键词

Keywords

references

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