风电波动下电力系统随机小干扰稳定性分析

项目名称： 风电波动下电力系统随机小干扰稳定性分析

项目编号： No.51477098

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 电工技术

项目作者： 李国杰

作者单位： 上海交通大学

项目金额： 80万元

中文摘要： 随着我国风电的迅速发展，风电随机波动性使电网的安全稳定运行面临很大的挑战。为了提高大规模风电接入跨区域大电网的安全稳定运行水平，本项目重点研究风电随机性激励对电力系统小干扰稳定性的影响，通过随机微分方程为基础的数学模型，进行风电功率波动的谱密度法建模，分析含随机激励的电力系统随机稳定性原理，研究风电的随机波动性对电网的小干扰稳定性的量化影响，研究随机激励与电力系统模态相互作用机理，研究提高电力系统随机小干扰稳定性量化分析的快速计算方法，并提出风险评估指标。本申请以理论价值和应用价值兼顾为宗旨，重点研究以下关键技术：1）风电场功率波动性的谱密度建模；2）电力系统线性化模型的随机动态过程分析；3）电力系统随机小干扰稳定性量化指标评估体系与快速计算算法。项目研究成果将为大规模风电并网的跨区域大电网安全稳定运行分析提供理论依据和技术支持，具有重要的理论意义和实际应用价值。

中文关键词： 风电波动性；随机小干扰稳定；矩方程；功率谱密度；多重积分法

英文摘要： With the rapid development of wind power in China, the safe and stable operation of power grids is facing great challenges due to the stochastic fluctuation of wind power. In order to improve the safety and stability of cross-regional power grids with large-scale wind power, this project focuses on effect of wind power stochastic characteristics on power system small-signal stability. According to the stochastic differential equations, power system small-signal stability caused by wind power stochastic fluctuation will be analyzed, the interaction between stochastic excitation and system modes will be studied, and the calculation speed of stochastic analysis of power system small-signal stability will be improved. Furthermore, the risk assessment index will be proposed in this project. Therefore, considering academic and applicable values, the following key technological will be studied: 1) Spectral density modeling of wind power volatility. 2) Stochatic dynamic process analysis of linearized modeling of power systems. 3) Quantitive evaluation index system and fast calculation algorithm for stochastic small-signal stability analysis. The results will provide theoretical basis and technical support for safety and stability analysis of cross-regional power systems with large-scale wind power. Thus, it has the important theoretical significance and practical application value.

英文关键词： Wind Power Fluacation;Stochastic Small-signal Stability;Moments Equation;Power Spectral Density;Multiple Integration Method