面向DFIG風電場的自適應頻率控制方法
柳力1，王俊2，肖孟金3
（1 國網電力科學研究院武漢南瑞有限責任公司，湖北 武漢 430074；2 江蘇方天電力技術有限公司，江蘇 南京 211102；
3 國網湖北省電力公司，湖北 武漢 430077）
摘 要：針對雙饋感應風力發電機（DFIG）風電場提出一種基于模糊神經網絡的一次調頻自適應聯合控制策略，利用神經網絡的學習推理能力，訓練自適應性較強的模糊神經控制器，來實現DFIG風電場轉子動能釋放和儲備功率增發自適應協同控制，使DFIG風電場能參與系統頻率控制，提升系統的一次頻率控制能力。仿真結果表明，該控制方法能更有效地提高含DFIG風電場系統的頻率控制能力，降低DFIG風電場并網對區域電網的沖擊，提升區域電網接納風電能力，促進可再生能源的高效利用。
關鍵詞：DFIG風電場；自適應；頻率控制；轉子動能；備用功率
中圖分類號：TM614 文獻標識碼：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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