李志军,沙千理,严新荣,严干贵,祝林,方政,李军徽
LI Zhijun,SHA Qianli,YAN Xinrong,YAN Gangui,ZHU Lin,FANG Zheng,LI Junhui

• 1:华电电力科学研究院有限公司
• 2:现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学)

摘要(Abstract)：

针对目前火电机组机理模型存在不能反映机组响应特性和模型参数难以准确获取等问题，提出一种数据驱动的火电机组二次调频特性模型构建方法。首先分析机组AGC（自动发电控制）调频响应特性，按调节强度划分机组工况，根据多组相近调节强度下火电机组二次调频响应曲线，采用最小二乘法提取二次调频响应特征。然后用二阶模型表征机组数学模型，在线修改模型阻尼系数以提高模型对调节强度变化的适应性，通过粒子群优化算法确定机组响应过程中3个响应阶段的自适应参数。最后设计算例验证了所提模型的有效性和优越性。
The existing mechanism models for thermal power units face challenges in accurately reflecting unit response characteristics and obtaining precise model parameters. This paper proposes a data-driven modeling method for secondary frequency regulation characteristic of thermal power units. First, the frequency regulation response characteristics of automatic generation control(AGC) are analyzed, and operational conditions are categorized based on regulation intensity. Using multiple sets of secondary frequency response curves under similar regulation intensities, the least squares method is applied to extract the response features of secondary frequency regulation.Next, a second-order model represents the mathematical model of the units, with online adjustments to the model's damping coefficients to enhance adaptability to changes in regulation intensity. Adaptive parameters for the three response stages during the unit's response process are determined using particle swarm optimization(PSO). Finally, case studies are designed to validate the effectiveness and superiority of the proposed model.

关键词(KeyWords)： 火电机组;数据驱动;响应特性;最小二乘法;调节深度;自适应参数
thermal power unit;data-driven;response characteristic;least square method;adjustment depth;adaptive parameters

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（52337004）;; 华电电力科学研究院有限公司科技项目（CHDKJ22-01-108）

作者(Author): 李志军,沙千理,严新荣,严干贵,祝林,方政,李军徽
LI Zhijun,SHA Qianli,YAN Xinrong,YAN Gangui,ZHU Lin,FANG Zheng,LI Junhui

DOI: 10.19585/j.zjdl.202501002

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