Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles

YANG Jianwei; DONG Hongzhi; LIAO Kai; CAI Liangcheng

doi:10.16081/j.issn.1006-6047.2019.03.032

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Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles

更新时间：2025-04-25

- Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles
- Vol. 39, Issue 3, Pages: 200-206(2019)
- 作者机构：
  
  西南交通大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.16081/j.issn.1006-6047.2019.03.032
  CLC： TM73;U469.72
- Published：2019
- 稿件说明：
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[1]杨健维,董鸿志,廖凯,蔡亮成.计及电动汽车辅助调频的负荷频率控制联合优化[J].电力自动化设备,2019,39(03):200-206.

YANG Jianwei, DONG Hongzhi, LIAO Kai, et al. Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles[J]. 2019, 39(3): 200-206.
[1]杨健维,董鸿志,廖凯,蔡亮成.计及电动汽车辅助调频的负荷频率控制联合优化[J].电力自动化设备,2019,39(03):200-206. DOI： 10.16081/j.issn.1006-6047.2019.03.032.

YANG Jianwei, DONG Hongzhi, LIAO Kai, et al. Joint optimization of load frequency control considering auxiliary frequency regulation of electric vehicles[J]. 2019, 39(3): 200-206. DOI： 10.16081/j.issn.1006-6047.2019.03.032.

摘要

当电动汽车利用车网互动（V2G）技术参与电网一次调频时

其下垂控制特性会影响原负荷频率控制的调频性能。基于此

提出了一种计及电动汽车辅助调频的负荷频率控制联合优化方法。建立了含电动汽车的多区域多机组系统的负荷频率控制模型;在此基础上

针对电动汽车电池特性及二次调频出力的有效工作范围

考虑系统内机组的特性等

以时间乘以误差绝对值积分（ITAE）为目标函数

建立了电动汽车辅助调频与传统机组二次调频的联合优化模型

并利用粒子群优化算法进行求解。在MATLAB/Simulink中针对阶跃负荷扰动及长时间随机负荷扰动的情况

对联合优化前、后系统的动态响应进行了对比分析。仿真结果表明:所提联合优化方法能有效地改善负荷频率控制的稳态响应速度、优化系统的调频性能

并且能够保证用户对电动汽车的用电需求。

Abstract

The droop control characteristics of EVs（Electric Vehicles） will impact the frequency regulation performance of the original load frequency control in the power system when EVs participate in the primary frequency regulation by V2G（Vehicle-to-Grid） technology. So

a joint optimization method of load frequency control considering the auxiliary frequency regulation of EVs is proposed. A load frequency control model of multi-area multi-generator system with EVs is established. On this basis

in view of the battery characteristics and the effective working range of secondary frequency regulation output of EVs

and considering the characteristics of generators in the system

the joint optimization model between the auxiliary frequency regulation of EVs and the secondary frequency regulation of traditional generators is set up with the ITAE（Integral Time Absolute Error） as the objective

and the model is solved by particle swarm optimization algorithm. The dynamic responses of the system with step load disturbance and long-term random load disturbance before and after the joint optimization are simulated

analyzed and compared in MATLAB/Simulink. Simulative results show that the proposed joint optimization method can effectively improve the steady state response speed of load frequency control system

optimize the frequency regulation performance of system and ensure the electricity demands of EV users.

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