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基于导纳频响特性的次同步振荡特征值的快速估算OA北大核心CSTPCD

Fast Estimation of SSO Eigenvalues Based on Admittance Frequency Response Characteristics

中文摘要英文摘要

次同步振荡(sub-synchronous oscillation,SSO)一直是电力系统广泛关注的稳定性问题.目前已存在特征根分析法、频域分析法(如阻抗分析法)等多种次同步振荡分析方法,但每种方法均有其优缺点.结合特征根分析易量化与频域分析易建模的优点,提出了一种基于导纳频响特性来直接估算次同步振荡特征根的新方法.该方法仅根据系统聚合导纳和导纳积分频响曲线的极值特征(包括极值点频率和斜率信息)便可直接估算出次同步振荡的特征根,计算简便、快捷.通过与MATLAB特征值分析工具的结果对比,验证了估算方法的有效性.该方法适用于常规发电的次同步扭振、新能源发电的次/超同步振荡以及新能源、常规发电打捆送出的复合次同步振荡等不同类型次同步振荡的定量分析,分析结果均得到EMTDC仿真验证.

Sub-synchronous oscillation(SSO)has always been a widely concerned stability issue in power systems.Currently,there are multiple methods for analyzing SSO,such as eigenvalue analysis method and frequency-domain analysis method(such as imped-ance analysis method),but each method has its own advantages and disadvantages.Combing the advantages of frequency-domain analysis easy to quantify and eigenvalue analysis methods easy to model,a new method for directly estimating the SSO eigenvalues is proposed based on the admittance frequency response characteristics.The method can directly estimate the SSO eigenvalues based solely on the extreme features(including extreme point frequency and slope information)of the frequency response curves of the system aggregated admittance and admittance integral,making the calculation simple and fast.The effectiveness of the proposed method is verified by comparing it with the results of eigenvalue analysis tool in MATLAB.The method is suitable for quantitative analysis of different types of SSO,such as sub-synchronous torsional oscillation in the conventional power generation,sub/super-synchronous oscillation in the renewable energy generation,and composite sub-synchronous oscillation in the conventional and renew-able energy power bundling delivery.The analysis results have all been verified by PSCAD/EMTDC simulation.

赵爽;袁豪;王志敏

云南电网有限责任公司电网规划建设研究中心,昆明 650011南方电网科学研究院,广州 510663

动力与电气工程

次同步振荡导纳特性频域分析特征根风火打捆

sub-synchronous oscillationadmittance characteristicfrequency domain analysiseigenvaluewind and thermal power bundling

《南方电网技术》 2024 (007)

55-62 / 8

国家重点研发计划资助项目(2022YFB2403504).Supported by the National Key Research and Development Program of China(2022YFB2403504).

10.13648/j.cnki.issn1674-0629.2024.07.007

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