作者：苏文涛¹, 温彩凤^1,2, 杜乾¹, 张博鑫¹, 王强¹, 陈忻屿³

作者单位：1. 内蒙古工业大学能源与动力工程学院，内蒙古 呼和浩特 010051;
2. 风能太阳能利用技术教育部重点实验室，内蒙古 呼和浩特 010051;
3. 内蒙古电力（集团）有限责任公司乌海供电分公司，内蒙古 乌海 016000

关键词：风电系统;功率脉动;储能特性;频域分析;粒子群算法

摘要：

为应对风力发电波动性对系统造成的不良影响，以直驱式风力发电机与储能装置组成的源-储-荷系统为研究对象，探究蓄电池对系统功率脉动的平抑作用。首先，搭建源-储-荷实验平台，并在Matlab中建立相应仿真模型，记录有、无蓄电池功率脉动特性；其次，结合小波变换与功率谱分析方法在频域内对测试结果分析，确定蓄电池作用频段；最后，以功率脉动率极小化、输出效率极大化为目标提出优化策略。结果表明：蓄电池可有效平抑风电系统输出功率中频段信号；最佳工况功率脉动率达到1.21%，输出效率为59%。所提优化策略可有效降低功率脉动率，提高系统效率，增加系统稳定性。

Analysis of power pulsation characteristics of wind power system and exploration of mitigation strategies
SU Wentao¹, WEN Caifeng^1,2, DU Qian¹, ZHANG Boxin¹, WANG Qiang¹, CHEN Xinyu³
1. College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China;
2. Key Laboratory of Wind Energy and Solar Energy Utilization Technology of Ministry of Education, Hohhot 010051, China;
3. Wuhai Power Supply Branch, Inner Mongolia Electric Power (Group) Co., Ltd., Wuhai 016000, China
Abstract: In order to deal with the adverse effects of wind power fluctuations on the system, the source-storage-load system composed of direct-drive wind turbines and energy storage devices was taken as the research object to explore the smoothing effect of batteries on system power fluctuations. Firstly, build a source-storage-load experimental platform and establish a corresponding simulation model in Matlab to record the battery power pulsation characteristics with and without it. Secondly, combine the wavelet transform and power spectrum analysis methods to analyze the test results in the frequency domain to determine the battery operating frequency band. Finally, an optimization strategy is proposed with the goal of minimizing the power pulsation rate and maximizing the output efficiency. The results show that the battery can effectively suppress the mid-band signal of the output power of the wind power system; the power pulsation rate under the best working condition is 1.21%, and the output efficiency is 59%. The proposed optimization strategy can effectively reduce the power pulsation rate, improve the system efficiency, and increase the system stability.
Keywords: wind power system;power pulsation;energy storage characteristics;frequency domain analysis;particle swarm algorithm
2022, 48(11):95-100  收稿日期: 2022-04-21;收到修改稿日期: 2022-06-11
基金项目: 内蒙古自然科学基金项目（2019MS05024）
作者简介: 苏文涛（1996-），男，山西太原市人，硕士研究生，专业方向为新能源科学与技术
参考文献
[1] 刘志超, 王洪彬, 沙浩, 等. 我国风电利用技术现状及其前景分析[J]. 发电技术, 2019, 40(4): 389-395
[2] SUMPER A, GOMIS-BELLMUNT O. A review of energy storage technologies for wind power applications[J]. Renewable and Sustainable Energy Reviews, 2012, 16(4): 2154-2171
[3] HAMEED A, KHOSHKBARFOROUSHHA A, RANJAN R, et al. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems[J]. Computing, 2016, 98(7): 751-774
[4] 姚勇, 朱桂萍, 刘秀成. 电池储能系统在改善微电网电能质量中的应用[J]. 电工技术学报, 2012, 27(1): 85-89
[5] 张继红, 冀伟成. 基于改进遗传算法的光伏系统储能优化配置[J]. 中国测试, 2021, 41(7): 160-168
[6] TASCIKARAOGLU A, UZUNOGLU M, VURAL B, et al. Power quality assessment of wind turbines and comparison with conventional legal regulations: A case study in Turkey[J]. Applied Energy, 2011, 88(5): 1864-1872
[7] 李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41(10): 3315-3325
[8] 张新松, 顾菊平, 袁越, 等. 基于电池储能系统的风功率波动平抑策略[J]. 中国电机工程学报, 2014, 34(28): 4752-4760
[9] 王桂松, 肖碧涛, 赖晓路, 等. 计及风功率波动和电池荷电状态的储能系统平滑控制策略[J]. 太阳能学报, 2021, 42(11): 280-286
[10] HAJIAGHASI S, SALEMNIA A, HAMZEH M. Hybrid energy storage system for microgrids applications: A review[J]. The Journal of Energy Storage, 2019, 21: 543-570
[11] 温彩凤, 高祥雨, 曹阳, 等. 基于分析法的风电系统储能关键特性研究[J]. 太阳能学报, 2020, 41(7): 85-91
[12] 支真莉. 几种功率谱估计方法在飞行试验数据分析中的研究[J]. 科技创新与应用, 2017(14): 38-39
[13] 李征, 陈佳瑜, 石坤. 风电功率波动频率域分析及储能平滑功率算法优化[J]. 太阳能学报, 2020, 41(4): 184-193
[14] 刘德, 马月虹, 刘娜, 等. 基于PSO算法的增氧灌溉TDF-IMC-PID控制研究[J]. 中国测试, 2021, 47(7): 84-91