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基本信息:
- 专利标题: 基于趋势拟合的风电日内波动连续时段识别方法及系统
- 专利标题(英):Trend fitting based wind power intraday fluctuation continuous period recognition method and system
- 申请号:CN201410557019.6 申请日:2014-10-20
- 公开(公告)号:CN104268436A 公开(公告)日:2015-01-07
- 发明人: 王现勋 , 梅亚东 , 孔艳君 , 杨璐 , 魏翔 , 徐雨妮
- 申请人: 武汉大学
- 申请人地址: 湖北省武汉市武昌区珞珈山武汉大学
- 专利权人: 武汉大学
- 当前专利权人: 武汉大学
- 当前专利权人地址: 湖北省武汉市武昌区珞珈山武汉大学
- 代理机构: 武汉科皓知识产权代理事务所
- 代理人: 严彦
- 主分类号: G06F19/00
- IPC分类号: G06F19/00
The invention discloses a trend fitting based wind power intraday fluctuation continuous period recognition method and system. The trend fitting based wind power intraday fluctuation continuous period recognition method comprises performing analysis on a wind power output process line, performing subinterval length division, trend fitting and overlapped portion fitting according to characteristic parameters of different subintervals and obtaining the integral process line fitting sequence and performing fluctuation sensitivity fitting, fluctuation recognition and continuous period recognition. According to the trend fitting based wind power intraday fluctuation continuous period recognition method and system, the period of the wind power output process line fluctuation is automatically extracted and accordingly a new judgment and recognition mode is provided, the result is simple and clear, and the implementation is convenient and easy. Compared with the prior art, the new way is provided for the period level of wind power output process line fluctuation recognition, the important innovation is achieved, the judgment of the wind power output stability analysis is facilitated, the wind power operation cost can be reduced, the wind power application efficiency can be improved, and the important actual application significance is brought to the wind power operation management and the wind power compensation adjustment.
公开/授权文献:
- CN104268436B 基于趋势拟合的风电日内波动连续时段识别方法及系统 公开/授权日:2015-06-10