Fast Stability of New Power System Based on a PMU Gradient Dynamic Deviation Method

doi:10.16183/j.cnki.jsjtu.2022.370

Abstract

Abstract:

The high proportion of renewable energy and power electronic equipment is emerging as a significant trend and key characteristic of the power system development driven by the dual promotion of the energy transformation and scientific technological advancement. Major modifications have been made to the dynamic behavior of the new power system. The traditional small signal stability analysis approach is difficult to apply, and there are still urgent issues to be resolved for the quick change of operating conditions. In this paper, a Lyapunov direct analysis method of gradient dynamic deviation based on phasor measurement unit (PMU) data is proposed to analyze the small signal stability of the new power system. First, the PMU data matrix is used to reduce the dimension to obtain the low dimension matrix, which is substituted into the power system matrix model with a doubly-fed induction generator (DFIG). The diagonal matrix is obtained by solving the Lyapunov equation, and the positive definiteness of the matrix is determined to judge the system stability. Then, the dynamic deviation of corresponding state variable is calculated by solving the obtained diagonal matrix. The gradient descent method is applied to the corresponding state variable curve to iterate the extreme point value of curve. The time-weighted dynamic deviation of the whole oscillation process is calculated by time weighting, which provides guidance for the subsequent configuration position of damping stability controller, i.e., power system stabilizer (PSS). The method can improve the small interference stability of the system. The effectiveness of the fast stability analysis of the new power system is verified by simulations of the new England 10-machine 39-bus system with DFIG.

Key words: phasor measurement unit (PMU) data, new power system, stability analysis, Lyapunov direct method, gradient dynamic deviation

CLC Number:

TM712

YU Miao, HU Jingxuan, ZHANG Shouzhi, WEI Jingjing, SUN Jianqun, WU Yixiao. Fast Stability of New Power System Based on a PMU Gradient Dynamic Deviation Method[J]. Journal of Shanghai Jiao Tong University, 2024, 58(1): 40-49.

Figures/Tables 8

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算例系统	特征值,λ<0	矩阵P正定
WSCC 3机系统	是	是
中国电科院6机系统	是	是
新英格兰10机系统	否	否

模式	风电场出力/%	特征根	阻尼比	振荡频率/Hz
区域间振荡模式1	0	-0.8405±j3.6049	0.2271	0.5737
	3	-0.8458±j3.6222	0.2274	0.5765
	6	-0.8499±j3.6268	0.2281	0.5772
区域间振荡模式2	0	-0.5692±j0.5288	0.7326	0.0842
	3	-0.5729±j0.7247	0.6202	0.1153
	6	-0.5569±j0.7863	0.5779	0.1251

已配置PSS机组	最小阻尼比	动态偏差量平方积分值
1,2	0.0243	0.6765
1,2,9	0.0245	0.6486
1,2,9,7	0.0272	0.6375
1,2,9,7,4	0.0288	0.6055
1,2,9,7,4,5	0.0654	0.5994
1,2,9,7,4,5,3	0.0916	0.5732
1,2,9,7,4,5,3,8	0.0963	0.5629
1,2,9,7,4,5,3,8,10	0.1057	0.4968

发电机机组编号	状态曲线时间加权梯度偏差值	该工况下机组阻尼比
1	0.03569	0.0339
2	0.02602	0.0403
3	0.03271	0.0392
4	0.07179	-0.0017
5	0.08368	0.0331
7	0.05546	-0.0175
8	0.06102	0.0187
9	0.04219	-0.0070
10	0.04847	-0.0078