Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles

Yu CHEN; Xiao PENG; Jing DING; Yazhou WANG; Jingping SHAO

doi:10.12096/j.2096-4528.pgt.18151

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Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles

New and Renewable Energy | 更新时间：2025-06-06

- Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles
- Power Generation Technology Vol. 40, Issue 1, Pages: 91-98(2019)
- 作者机构：
  
  1.湖北华电西塞山发电有限公司, 湖北省黄石市 435001
  2.国网湖北省电力有限公司荆州市荆州区供电公司, 湖北省荆州市 434100
  3.国网湖北省电力有限公司鄂州市鄂城区供电公司, 湖北省鄂州市 436000
- 作者简介：
- 基金信息：
- DOI：10.12096/j.2096-4528.pgt.18151
  CLC：
- Received：09 October 2018，
  
  Published：26 February 2019
- 稿件说明：
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Yu CHEN, Xiao PENG, Jing DING, et al. Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles[J]. Power Generation Technology, 2019, 40(1): 91-98.
DOI：

Yu CHEN, Xiao PENG, Jing DING, et al. Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles[J]. Power Generation Technology, 2019, 40(1): 91-98. DOI： 10.12096/j.2096-4528.pgt.18151.

摘要

由于风电固有的随机性与间歇性，使得风电场输出功率往往具有较大的波动。然而考虑到储能装置的昂贵成本，单独为风电场配置储能装置不利于其经济运行。为此，文中针对考虑电动汽车参与的风电场输出功率波动平抑方法进行了研究。根据国家标准中风电“有功功率变化”的要求，通过爬坡率概念来描述风电场输出功率变化率。采用鲁棒优化的方法处理风电出力的不确定性，建立风电机组和电动汽车协调控制的双层优化模型：上层模型决策者是风电场，以风电场售电收益最大化为目标函数；下层模型决策者是电动汽车车主，以电动汽车电费支出成本最小化为目标函数。通过线性规划对偶定理和Karush-KuhnTucker（KKT）最优性条件将此鲁棒优化模型转化为混合整数线性规划问题进行求解。最后，通过仿真结果验证了所提模型和方法的有效性。

Abstract

Owing to the inherent randomness and intermittency of wind power

the output power of wind farm tends to fluctuate greatly. However

considering the high cost of energy storage device

it is not good for the wind farm to configure energy storage device. This paper studies the fluctuation of output power fluctuation in the wind power field considering the participation of electric vehicles. Firstly

according to the requirement of the national standard of stroke

"active power change"

the rate of output power of wind farm is described by the concept of climbing rate. Then

using the robust optimization method to deal with the uncertainty of wind power

wind turbines and electric cars

coordinated control of bi-level optimization model:the upper model decision makers is a wind farm

with wind farms sell electricity utility maximization as the objective function; The lower-level model decision makers are electric car owners

and the cost of electric power costs is minimized to the target function. In addition

this robust optimization model is transformed into a hybrid integer linear programming problem by using the linear programming dual theorem and Karush-Kuhn Tucker (KKT) optimality conditions. Finally

the effectiveness of the proposed model and method is verified by simulation.

关键词

Keywords

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