中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
3期
317-324
,共8页
吴振威%蒋小平%马会萌%马速良
吳振威%蔣小平%馬會萌%馬速良
오진위%장소평%마회맹%마속량
光伏发电%平抑功率波动%小波包%模糊控制%能量型储能%功率型储能%荷电状态
光伏髮電%平抑功率波動%小波包%模糊控製%能量型儲能%功率型儲能%荷電狀態
광복발전%평억공솔파동%소파포%모호공제%능량형저능%공솔형저능%하전상태
PV power generation%smoothing power fluctuations%wavelet packet%fuzzy control method%energy-type storage system%power-type storage system%state of charge (SOC)
采用能量型储能和功率型储能组成的混合储能系统平抑光伏输出功率波动。利用小波包分解可获取更多信号细节信息的优点,综合分析光伏功率信号的幅频特性、储能的性能特点,将光伏功率信号分解,得到光伏平抑目标功率和不<br> 同类型储能的充放电功率。充分考虑实际工程应用中实时控制对运算速度的要求,并通过阈值判断补偿滤波延迟效应。采用模糊控制方法对功率型储能的荷电状态(state of charge,SOC)进行自适应控制,实现功率的优化分配,提高平抑效果。算例结果表明,所提控制策略能够充分利用不同类型储能的性能优势有效平抑光伏输出功率波动。
採用能量型儲能和功率型儲能組成的混閤儲能繫統平抑光伏輸齣功率波動。利用小波包分解可穫取更多信號細節信息的優點,綜閤分析光伏功率信號的幅頻特性、儲能的性能特點,將光伏功率信號分解,得到光伏平抑目標功率和不<br> 同類型儲能的充放電功率。充分攷慮實際工程應用中實時控製對運算速度的要求,併通過閾值判斷補償濾波延遲效應。採用模糊控製方法對功率型儲能的荷電狀態(state of charge,SOC)進行自適應控製,實現功率的優化分配,提高平抑效果。算例結果錶明,所提控製策略能夠充分利用不同類型儲能的性能優勢有效平抑光伏輸齣功率波動。
채용능량형저능화공솔형저능조성적혼합저능계통평억광복수출공솔파동。이용소파포분해가획취경다신호세절신식적우점,종합분석광복공솔신호적폭빈특성、저능적성능특점,장광복공솔신호분해,득도광복평억목표공솔화불<br> 동류형저능적충방전공솔。충분고필실제공정응용중실시공제대운산속도적요구,병통과역치판단보상려파연지효응。채용모호공제방법대공솔형저능적하전상태(state of charge,SOC)진행자괄응공제,실현공솔적우화분배,제고평억효과。산례결과표명,소제공제책략능구충분이용불동류형저능적성능우세유효평억광복수출공솔파동。
In this paper, a hybrid energy storage system consisting of energy-type storage system and power-type storage system is used to smooth the PV power generation fluctuations. With a comprehensive analysis of the amplitude-frequency characteristics of PV power signal and the performances characteristics of different energy storage systems, the PV power signal is decomposed and the smoothing objective power and the charging and discharging power of energy storage systems are obtained by wavelet packet decomposition which can get more signals’ detail information. Full consideration is given to the real-time control requirements for computing speed in practical application, and the filter delay effect is compensated through threshold judgment. SOC adaptive control of power-type storage system using fuzzy control method is applied to achieve optimal allocation and improve smoothing result. Numerical results show that the proposed control strategy can smooth the PV power generation fluctuations effectively by taking full advantages of the performance benefits of different types of energy storage systems.