极端风况下风电场弹性量化评估方法

doi:10.16628/j.cnki.2095-8188.2022.07.005

电器与能效管理技术 ›› 2022, Vol. 0 ›› Issue (7): 27-35.doi: 10.16628/j.cnki.2095-8188.2022.07.005

极端风况下风电场弹性量化评估方法

敬彤辉, 王晓东, 刘颖明, 栗杉杉

沈阳工业大学电气工程学院,辽宁沈阳 110870

收稿日期:2022-02-12 出版日期:2022-07-30 发布日期:2022-09-16
作者简介:敬彤辉(1997—),男,硕士研究生,研究方向为风电场状态检测。|王晓东(1978—),男,教授,研究方向为风电场储能系统及其能量管理策略、风电机组及储能系统协调控制。|刘颖明(1973—),男,教授,研究方向为大规模储能系统及其控制技术、风电场控制技术。
基金资助:
辽宁省“兴辽英才计划”项目资助(XLYC1802041);辽宁省中央引导地方科技发展资金计划项目(2021JH6/10500166)

Quantitative Assessment Method of Wind Farm Resilience Under Extreme Wind Conditions

JING Tonghui, WANG Xiaodong, LIU Yingming, LI Shanshan

School of Electrical Engineering,Shenyang University of Technology, Shenyang 110870, China

Received:2022-02-12 Online:2022-07-30 Published:2022-09-16

摘要/Abstract

摘要：

在构建以新能源为主的新型电力系统大背景下,针对极端条件下风电场弹性评估问题,提出了一种基于蒙特卡洛模拟的极端风况下风电场弹性量化评估方法。在阐明风电场弹性概念的基础上,基于多阶段弹性多边形提出了风电场弹性量化与评估指标,并通过对极端风况事件和风电场状态建模提出了各部件失效判定方法,通过完善降级与恢复阶段模型提出了基于顺序蒙特卡洛模拟的风电场弹性评估方法。最后,在算例中评估了4种类型风电场基础设施与运营弹性,并通过分析设备物理强度与冗余性能等因素对弹性的影响规律,验证了所提出方法的有效性。

关键词: 弹性评估, 风电场, 极端风况, 蒙特卡洛模拟, 脆弱性曲线

Abstract:

In the context of building a new power system with new energy as the mainstay,aiming at the problem of wind farm resilience assessment under extreme conditions,a quantitative evaluation method of wind farm resilience under extreme wind conditions based on Monte Carlo simulation is proposed.On the basis of clarifying the concept of wind farm resilience,based on multi-stage elastic polygons,the wind farm resilience quantification and evaluation index is proposed,and the method for determining the failure of each component of the wind farm is proposed by modeling the extreme wind events and wind farm states.The wind farm resilience assessment method based on the sequential Monte Carlo simulation is proposed by supplementing the degradation and restoration stage model.Finally,a example is used to evaluate four types of wind farm infrastructure and operational resilience,and the effectiveness of the proposed method is verified by analyzing the influence of physical strength and redundant equipment performance on the resilience.

Key words: resilience assessment, wind farm, extreme wind condition, Monte Carlo simulation, fragility curve

中图分类号:

TM614

敬彤辉, 王晓东, 刘颖明, 栗杉杉. 极端风况下风电场弹性量化评估方法[J]. 电器与能效管理技术, 2022, 0(7): 27-35.

JING Tonghui, WANG Xiaodong, LIU Yingming, LI Shanshan. Quantitative Assessment Method of Wind Farm Resilience Under Extreme Wind Conditions[J]. LOW VOLTAGE APPARATUS, 2022, 0(7): 27-35.

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项目	可靠性	弹性
出发角度	典型电力系统(电力中断)	自然灾害与极端天气
考虑的概率	较高	较低
故障可预期性	高	低
与其他设施的关联性	低	高
失效(机组)数量	小	大
恢复时间	短	长
时空相关性	小	大
损害	小	大
事件的影响	低	高

状态量	说明
W_i_,_j	第i组第j台风机状态
L_i_,_j	第i组第j根线路状态
B_i	第i组母线状态

降级时间K_c/h	E/s
降级时间K_c/h	类型Ⅰ、类型Ⅱ	类型Ⅲ、类型Ⅳ
1.0	45.0	84.0
0.6	27.0	50.4

极端风况下风电场弹性量化评估方法

Quantitative Assessment Method of Wind Farm Resilience Under Extreme Wind Conditions

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