面向DFIG風(fēng)電場的自適應(yīng)頻率控制方法
柳力1,王俊2,肖孟金3
(1 國網(wǎng)電力科學(xué)研究院武漢南瑞有限責(zé)任公司,湖北 武漢 430074;2 江蘇方天電力技術(shù)有限公司,江蘇 南京 211102;
3 國網(wǎng)湖北省電力公司,湖北 武漢 430077)
摘 要:針對雙饋感應(yīng)風(fēng)力發(fā)電機(jī)(DFIG)風(fēng)電場提出一種基于模糊神經(jīng)網(wǎng)絡(luò)的一次調(diào)頻自適應(yīng)聯(lián)合控制策略,利用神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)推理能力,訓(xùn)練自適應(yīng)性較強(qiáng)的模糊神經(jīng)控制器,來實現(xiàn)DFIG風(fēng)電場轉(zhuǎn)子動能釋放和儲備功率增發(fā)自適應(yīng)協(xié)同控制,使DFIG風(fēng)電場能參與系統(tǒng)頻率控制,提升系統(tǒng)的一次頻率控制能力。仿真結(jié)果表明,該控制方法能更有效地提高含DFIG風(fēng)電場系統(tǒng)的頻率控制能力,降低DFIG風(fēng)電場并網(wǎng)對區(qū)域電網(wǎng)的沖擊,提升區(qū)域電網(wǎng)接納風(fēng)電能力,促進(jìn)可再生能源的高效利用。
關(guān)鍵詞:DFIG風(fēng)電場;自適應(yīng);頻率控制;轉(zhuǎn)子動能;備用功率
中圖分類號:TM614 文獻(xiàn)標(biāo)識碼:A 文章編號:1007-3175(2018)02-0011-06
Adaptive Frequency Control Method for Double Fed Induction Generator Wind Farm
LIU Li1, WANG Jun2, XIAO Meng-jin3
(1 State Grid Electric Power Research Institute Wuhan NARI Limited Liability Company, Wuhan 430074, China;
2 Jiangsu Frontier Electric Technologies Co., Ltd, Nanjing 2111 02, China;
3 State Grid Hubei Electric Power Company, Wuhan 430077, China)
Abstract: Aiming at double fed induction generator (DFIG) wind farms, this paper proposed a kind of primary frequency modulation self-adaptive combined control strategy, used the study inferential capability of neural network and drilled the fuzzy neural controller to realize the DFIG wind farm rotor kinetic energy release and reserve power additional self-adaptive coordination control and to make the DFIG wind farm be able to participate in the system frequency control so as to promote the primary frequency control ability. The simulation result shows that this control method could effectively improve the frequency control ability of wind farm system with DFIG, reduce the impact from the DFIG wind farm grid connected to regional power grids, promote regional power grids acceptance wind power capacity and accelerate efficient utilization of renewable energy sources.
Key words: double fed induction generator wind farm; self-adaptive; frequency control; rotor kinetic energy; reserve power
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