| 计及信号随机延时的电力系统小干扰概率稳定性分析 |
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| 引用本文： | 陈中,唐浩然,袁宇波,周涛,李虎成,许扬.计及信号随机延时的电力系统小干扰概率稳定性分析[J].电力系统自动化,2018,42(13):145-151. |
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| 作者姓名： | 陈中 唐浩然 袁宇波 周涛 李虎成 许扬 |
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| 作者单位： | 东南大学电气工程学院;江苏省智能电网技术与装备重点实验室;国网江苏省电力有限公司 |
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| 基金项目： | 国家重点研发计划资助项目(2016YFB0900602)；国家电网公司科技项目“面向特高压交直流大受端电网的大规模负荷精准协调互动控制技术研究” |
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| 摘 要： | 为了研究随机延时对电力系统小干扰稳定性的影响,基于阻尼转矩分析法提出了一种计算特征根相对于延时的灵敏度的方法,进而通过Gram-Charlier级数展开的方法,得到随机延时下电力系统临界特征根实部的概率密度函数,该稳定性分析方法具有计算快速、简便的优点;然后,对计及广域信号随机延时的电力系统稳定器进行了参数鲁棒设计。在基于OPNET-MATLAB的信息物理融合电网系统联合仿真平台中搭建了两区四机系统模型,通过蒙特卡洛模拟验证了所提特征根概率密度函数计算方法的正确性,并分析了不同延时特性对系统小干扰稳定的影响,最后通过两区四机算例验证了所提电力系统稳定器鲁棒性设计方法的有效性。
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| 关 键 词： | 随机延时 概率特征根 Gram-Charlier级数展开 阻尼转矩分析 联合仿真 |
| 收稿时间： | 2017/7/6 0:00:00 |
| 修稿时间： | 2018/5/4 0:00:00 |
Probabilistic Small-signal Stability Analysis of Power System Considering Stochastic Time Delay of Signal |
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| CHEN Zhong,TANG Haoran,YUAN Yubo,ZHOU Tao,LI Hucheng and XU Yang.Probabilistic Small-signal Stability Analysis of Power System Considering Stochastic Time Delay of Signal[J].Automation of Electric Power Systems,2018,42(13):145-151. |
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| Authors: | CHEN Zhong TANG Haoran YUAN Yubo ZHOU Tao LI Hucheng and XU Yang |
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| Affiliation: | School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China,State Grid Jiangsu Electric Power Co. Ltd., Nanjing 211103, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China,State Grid Jiangsu Electric Power Co. Ltd., Nanjing 211103, China and State Grid Jiangsu Electric Power Co. Ltd., Nanjing 211103, China |
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| Abstract: | In order to study the influence of stochastic time delay on the small-signal stability of power system, a method for calculating the sensitivity of eigenvalue to time delay is proposed based on damping torque analysis. By using the method of Gram-Charlier expansion, the probability density function of the real part of critical eigenvalue under stochastic time delay is deduced. The proposed method is fast and simple. Then parameter robust tuning for power system stabilizer(PSS)is conducted considering stochastic time delays of wide-area signals. The 2-area 4-generator system model is developed on the co-simulation platform of cyber-physical power system based on OPNET-MATLAB. The correctness of the calculation method for eigenvalue probability density function is verified through Monte Carlo simulation and the influence of different time delay characteristics on the small-signal stability is analyzed. Finally, the effectiveness of robust design method for PSS is verified in the 2-area 4-generator system. |
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| Keywords: | stochastic time delay probability eigenvalue Gram-Charlier expansion damping torque analysis(DTA) co-simulation |
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