引用本文:蒋长江,刘俊勇,刘友波,许立雄,刘 洋,朱国俊.计及风电随机激励的电力系统暂态稳定分析[J].电力自动化设备,2016,36(3):
JIANG Changjiang,LIU Junyong,LIU Youbo,XU Lixiong,LIU Yang,ZHU Guojun.Transient stability analysis of power system considering wind-power stochastic excitation[J].Electric Power Automation Equipment,2016,36(3):
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计及风电随机激励的电力系统暂态稳定分析
蒋长江1, 刘俊勇1, 刘友波1, 许立雄1, 刘 洋1, 朱国俊2
1.四川大学 电气信息学院,四川 成都 610065;2.国网四川省电力公司电力经济研究院,四川 成都 610041
摘要:
为了探讨风电随机激励对电力系统暂态稳定的影响,提出一种基于随机微分理论对含风电电力系统进行建模和稳定分析的方法。首先将异步风机机械功率作为随机激励,在暂态过程中利用伊藤型随机微分方程对异步风机的转子运动方程进行建模,将传统的微分代数方程模型扩展成随机微分代数方程模型;然后针对新的模型,通过时域仿真进行求解,分析风电功率随机波动对电力系统暂态过程的影响。算例结果表明:相比于确定性和概率性暂态稳定分析方法,所提方法能够更好地揭示风电不确定性对电力系统暂态稳定性的影响。
关键词:  风电  风电随机激励  暂态稳定  随机微分代数方程  数值积分  临界切除时间  稳定性
DOI:
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基金项目:国家自然科学基金资助项目(51261130472);英国阿尔斯通公司国际合作项目(11H0207)
Transient stability analysis of power system considering wind-power stochastic excitation
JIANG Changjiang1, LIU Junyong1, LIU Youbo1, XU Lixiong1, LIU Yang1, ZHU Guojun2
1.School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China;2.Electric Power Economic and Technological Research Institute of State Grid Sichuan Electric Power Corporation,Chengdu 610041,China
Abstract:
In order to study the impact of wind-power stochastic excitation on the transient stability of power system,a modeling and stability analysis method based on stochastic differential theory is proposed for power system with wind power,which takes the mechanical power of asynchronous wind turbine as the stochastic excitation,applies the stochastic differential equation in the transient process to model the rotor motion equation of asynchronous wind turbine for expanding the traditional DAE(Differential Algebraic Equa-tions) model into SDAE(Stochastic Differential Algebraic Equations) model,which is then solved by the time-domain simulation to analyze the impact of stochastic turbulence of wind power on the transient process of power system at any moment. Results of case study show that,compared with the deterministic and probabilistic transient stability analysis methods,the proposed method reveals more accurately the impact of wind-power uncertainty on the transient stability of power system.
Key words:  wind power  wind-power stochastic excitation  transient stability  stochastic differential algebraic equation  numerical integration  critical clearing time  stability

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