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风电爬坡事件多级区间预警方法

马欢 李常刚 刘玉田

电力系统自动化2017,Vol.41Issue(11):39-47,9.
电力系统自动化2017,Vol.41Issue(11):39-47,9.

风电爬坡事件多级区间预警方法

Multi-level Early Warning Method for Wind Power Ramp Events

马欢 1李常刚 1刘玉田1

作者信息

  • 1. 电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
  • 折叠

摘要

Abstract

Large-scale wind power ramp events (WPRE) have a significant impact on the power balance of power system and may lead to load shedding in severe cases.Interval analysis method is introduced to establish a multi-level early warning method for WPRE, by which the warning information can be provided to reflect the degree of potential harm inflicted by WPRE.According to the characteristics of WPRE, the number of intervals is introduced to describe the uncertainty of wind power.In view of the impact of large volatility of WPRE on power control and with the static frequency deviation maintained within the allowable range as precondition, the permissible intervals of ramping amplitude are analyzed to determine the boundaries between different warning levels corresponding to different power control measures.Comparison of the boundaries with the prediction results of wind power, multi-level early warning for WPRE shows that the interval ranking method can provide the probability distributions of different warning levels.Simulation results and comparative analysis demonstrate that, both the boundaries and probability distributions of different warning levels, with clear physical meaning, can be provided by the simple and rapid method beneficial to real-time scrolling operation and testifying to the effectiveness and practicability of the proposed method.

关键词

风电爬坡事件/预警/功率平衡/区间分析/不确定性

Key words

wind power ramp event/early warning/power balance/interval analysis/uncertainty

引用本文复制引用

马欢,李常刚,刘玉田..风电爬坡事件多级区间预警方法[J].电力系统自动化,2017,41(11):39-47,9.

基金项目

国家重点基础研究发展计划(973计划)资助项目(2012CB215101) (973计划)

国家自然科学基金资助项目(51177092) (51177092)

This work is supported by National Basic Research Program of China (973 Program) (No.2012CB215101) and National Natural Science Foundation of China (No.51177092). (973 Program)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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