电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
14期
126-135
,共10页
空间相关性%风速%风电功率%功率波动%功率预测
空間相關性%風速%風電功率%功率波動%功率預測
공간상관성%풍속%풍전공솔%공솔파동%공솔예측
spatial correlation%wind speed%wind power%power fluctuation%power prediction
由于风电具有很强的随机性和波动性,因此大规模风电并网会对电力系统的运行和稳定性造成很大的影响。如何准确预测区域风电场的功率已经成为当今电力系统亟待解决的研究课题。现有的风电功率预测方法未考虑空间相关因素,预测体系有待进一步完善。基于空间相关性的风电功率预测是一种考虑了本地信息和空间相关信息的综合预测方法。文中给出了基于空间相关性的风电功率预测的定义、概念和基本特点,分别从统计模型、物理模型、空间降尺度过程和空间升尺度过程4个方面详细阐述了基于空间相关性的风电功率预测的实现方法,并对空间相关性在风电功率预测方面应用的最新国内外研究进展作了系统的分析评述。最后,针对该领域尚存在的问题与不足,总结了今后的发展方向和需要进一步探索的研究内容。
由于風電具有很彊的隨機性和波動性,因此大規模風電併網會對電力繫統的運行和穩定性造成很大的影響。如何準確預測區域風電場的功率已經成為噹今電力繫統亟待解決的研究課題。現有的風電功率預測方法未攷慮空間相關因素,預測體繫有待進一步完善。基于空間相關性的風電功率預測是一種攷慮瞭本地信息和空間相關信息的綜閤預測方法。文中給齣瞭基于空間相關性的風電功率預測的定義、概唸和基本特點,分彆從統計模型、物理模型、空間降呎度過程和空間升呎度過程4箇方麵詳細闡述瞭基于空間相關性的風電功率預測的實現方法,併對空間相關性在風電功率預測方麵應用的最新國內外研究進展作瞭繫統的分析評述。最後,針對該領域尚存在的問題與不足,總結瞭今後的髮展方嚮和需要進一步探索的研究內容。
유우풍전구유흔강적수궤성화파동성,인차대규모풍전병망회대전력계통적운행화은정성조성흔대적영향。여하준학예측구역풍전장적공솔이경성위당금전력계통극대해결적연구과제。현유적풍전공솔예측방법미고필공간상관인소,예측체계유대진일보완선。기우공간상관성적풍전공솔예측시일충고필료본지신식화공간상관신식적종합예측방법。문중급출료기우공간상관성적풍전공솔예측적정의、개념화기본특점,분별종통계모형、물리모형、공간강척도과정화공간승척도과정4개방면상세천술료기우공간상관성적풍전공솔예측적실현방법,병대공간상관성재풍전공솔예측방면응용적최신국내외연구진전작료계통적분석평술。최후,침대해영역상존재적문제여불족,총결료금후적발전방향화수요진일보탐색적연구내용。
Large-scale integration of wind power into grid has significant impact on system operation and stability due to the inherent intermittency of wind power.Consequently,accurate prediction of regional wind farm output has become one of the vital challenges for the power industry.However,most of the existing prediction methods only involve mathematical models and rarely consider spatial correlation factors.As such,the prediction system remains to be further improved.Wind power prediction based on spatial correlation is a comprehensive prediction method that combines both local information and spatially correlated information.This paper introduces the definition,concepts and basic characteristics of the wind power prediction based on spatial correlation.Specific aspects such as statistical model,physical model,down-scaling and up-scaling procedure in terms of wind power prediction based on spatial correlation are also explained in detail.The state-of-the-art of spatial correlation approaches and techniques used in wind power prediction around the world are systematically reviewed and summarized.Finally,the future development trend and further investigations are presented for the existing problems and shortcomings in this field. This work is supported by National Natural Science Foundation of China(No.5 1077126,No.5 1 1 74290).