引用本文: | 马睿聪,邹世豪,曹永吉,等.基于灵敏度分析的同步调相机及其励磁系统参数分类辨识方法[J].电力系统保护与控制,2024,52(4):26-37.[点击复制] |
MA Ruicong,ZOU Shihao,CAO Yongji,et al.Sensitivity analysis-based classification and identification method of a synchronous condenser and its excitation system parameter[J].Power System Protection and Control,2024,52(4):26-37[点击复制] |
|
摘要: |
同步调相机及其励磁系统间由于电气耦合而导致参数辨识困难,但目前缺少对待辨识参数量与观察量间耦合特性的分析。对此,提出一种基于灵敏度分析的同步调相机及其励磁系统参数分类辨识方法。分析同步调相机在不同时间尺度下的关键参数,基于轨迹灵敏度信息划分待辨识参数的类型,构建关联参数集合。考虑稳态、次暂态和暂态下同步调相机及其励磁系统响应特性的差异,在不同时间尺度上分别建立参数分类辨识模型。依据关联参数集合进行参数分类辨识,采用基于Tent混沌映射的改进蛇优化算法求解。通过算例分析验证了所提方法的有效性和适应性。 |
关键词: 同步调相机 励磁系统 灵敏度分析 关联参数辨识 Tent混沌映射 |
DOI:10.19783/j.cnki.pspc.230953 |
投稿时间:2023-07-25修订日期:2023-11-09 |
基金项目:国家自然科学基金项目资助(52177096);山东省自然科学基金项目资助(ZR2021QE133) |
|
Sensitivity analysis-based classification and identification method of a synchronous condenser and its excitation system parameter |
MA Ruicong1,ZOU Shihao1,CAO Yongji2,ZHANG Hengxu1,LIU Zhiwen1 |
(1. School of Electric Power, South China University of Technology, Guangzhou 510640, China; 2. Guangdong Province
New Energy Power System Intelligent Operation and Control Enterprise Key Laboratory, Guangzhou 510663, China) |
Abstract: |
The electrical coupling of a synchronous condenser and its excitation system makes parameter identification difficult, and the analysis of the coupling characteristics between the identified parameters and observed variables is omitted. Therefore, a parameter classification and identification method based on sensitivity analysis is proposed. The key parameters of the synchronous condenser are analyzed at different time scales, and the types of parameters are classified based on the trajectory sensitivity information to establish the sets of coupling parameters. Considering the differences in response characteristics of the synchronous condenser and its excitation system in steady-state, sub-transient, and transient conditions, the parameter identification models are separately established at different time scales. The parameter identification is carried out according to the coupling parameter sets, and an improved snake optimization algorithm based on Tent chaotic mapping is adopted for analysis. The effectiveness and adaptability of the proposed method are verified by case study analysis. |
Key words: synchronous condenser excitation system sensitivity analysis coupling parameter identification Tent chaotic map |