电力系统自动化2024，Vol.48Issue(8)：42-52,11.DOI:10.7500/AEPS20231218004
计及典型控制的风电场调频能力量化评估及影响因素分析
Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control
摘要
Abstract
To maximize the use of the support power of wind farms and avoid the resource wastage,it is necessary to quantitatively assess the frequency regulation capability of the wind farm.However,the assessment of frequency regulation capability of the wind farm lacks a clear definition and is difficult to be assessed,and the mechanism of the impact of operational parameters and boundary constraints on support capability is unclear.To address this,indicators across multiple time scales,energy forms,and assessment levels are defined,which can accurately quantify the assessment of frequency regulation capability.Based on the proposed assessment indicators,by analyzing the mechanism of how operational parameters of wind farm affect frequency regulation capability,it is revealed that the rotational speed is the main influencing factor under low wind speed and low load shedding conditions,while load and capacity are the main influencing factors under high wind speed and high load shedding conditions.Furthermore,a method based on a nonlinear programming model is proposed for the precise calculation of assessment indicators.Finally,a case study analysis of a single-machine aggregated wind farm under droop and load shedding control in a four-machine two-area system validates the rationality of the proposed assessment indicators and the accuracy of the assessment method,as well as the correctness of the conclusions of the key influencing factor analysis.关键词
风电场/调频能力/下垂控制/超速减载/量化评估方法/影响因素分析Key words
wind farm/frequency regulation capability/droop control/overspeed load shedding/quantitative assessment method/influencing factor analysis引用本文复制引用
阮益闽,宗启航,姚伟,周泓宇,张鑫灏,文劲宇..计及典型控制的风电场调频能力量化评估及影响因素分析[J].电力系统自动化,2024,48(8):42-52,11.基金项目
国家重点研发计划资助项目(2022YFB4202304). This work is supported by National Key R&D Program of China(No.2022YFB4202304). （2022YFB4202304）
