一种适合实际风电接入电力系统的小干扰概率稳定分析方法
摘要：风电出力的随机性导致风电接入电力系统运行点具有明显的不确定性,也使得确定性小干扰稳定分析方法难以全面分析含风电的电力系统小干扰稳定问题。为此,本文提出了一种实用化的风电接入电力系统小干扰概率稳定分析方法。以BPA为小扰动稳定分析核心程序,通过利用Matlab开发风电出力Monte Carlo采样程序、调用BPA接口程序和结果概率统计分析程序组成的闭环系统实现。用3机9节点系统进行了风电接入容量、接入点及不同的风电消纳方式对系统小干扰概率稳定的影响分析;然后对某省实际电力系统2020年风电规划情况进行了小干扰概率稳定分析,验证了所提方法的有效性和实用性。
Abstract:The randomness of wind power output leads to the uncertainty of power system operating point, which makes it difficult to accurately analyze small signal stability (SSS) of power systems integrated with wind farm. Thus a practical small-signal probabilistic stability analysis approach for power systems integrated with large-scale wind power is proposed. By taking BPA as key procedure for analyzing small-signal stability, the proposed analysis system is designed as a closed loop system, which consist of Matlab based Monte Carlo sampling procedure of wind power output, BPA interface procedure and results probability analysis procedure. The influence of wind power penetration amount, access point and the system accommodating mode on SSS is studied on IEEE 3 machine 9-bus system by using the proposed approach. Then the SSS analysis is tested on certain provincial grid in 2020 year to illustrate the validity and practicability of the proposed approach.
标题：一种适合实际风电接入电力系统的小干扰概率稳定分析方法
英文标题：A Small-signal Probabilistic Stability Analysis Approach for Practical Power System Integrated with Wind Power
作者：苏 展, 徐 谦, 周 明, 杨升峰, 郭 尊,
关键词：蒙特卡罗, BPA, 小干扰稳定, 概率分析, 风力发电,
发表日期：2016-10-14
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