考虑风电预测误差的混合储能荷电状态优化策略  

An Optimization Strategy for Hybrid Energy Storage with Wind Power Prediction Error

作　　者：张琦 谢丽蓉 王威 闫壮 古扎拉衣·巴里 包洪印 ZHANG Qi;XIE Lirong;WANG Wei;YAN Zhuang;GUZHALAYI Bali;BAO Hongyin(Research Center of Renewable Energy Power Generation and Grid Control Engineering,Ministry of Education,Xinjiang University,Urumqi Xinjiang 830017,China;Csic Haiwei(Xinjiang)New Energy Co.Ltd.,Urumqi Xinjiang 830002,China)

机构地区：[1]新疆大学可再生能源发电与并网技术教育部工程研究中心,新疆乌鲁木齐830017 [2]中船重工海为(新疆)新能源有限公司,新疆乌鲁木齐830002

出　　处：《新疆大学学报（自然科学版）（中英文）》2023年第4期505-512,共8页Journal of Xinjiang University(Natural Science Edition in Chinese and English)

基　　金：国家自然科学基金“限电工况‘高效发电-风储互补-分级维护’多场景动态融合协同调度研究”(62163034);新疆维吾尔自治区重大专项“‘双碳’背景下‘源网荷储’一体化柔性坚强电网关键技术研究”(2022A01001).

摘　　要：风电出力的随机性会造成并网的功率波动性,传统储能方法并网时会产生储能过充过放的情况,故提出一种考虑风电预测误差的混合储能荷电状态分层优化策略.首先对风电数据进行分析,利用预测功率信息进行控制,通过充/放电切换的区间概率统计分布确定预测信息的动态区间,求解出混合储能总作用域;随后对风电出力进行频率分解,通过自适应噪声集合经验模态分解(ICEEMDAN)将总作用域分解为超级电容作用域和蓄电池作用域,然后考虑储能的充/放电能力以及避免储能的过充过放,利用双模糊控制器进行优化;最后通过储能动作辅助协作,根据不同的工作模式利用储能进行补偿,以达到优化储能荷电状态.以中国新疆某风电场为例进行仿真分析验证所提策略的有效性.The randomness of wind farm stroke output will cause the power fluctuation of grid-connected,and the traditional energy storage method will produce the situation of over-charge and over-discharge of energy storage when grid-connected.This paper proposes a layered optimization strategy of hybrid energy storage under charge state considering the prediction error of wind power.Firstly,the wind power data is analyzed,and the advanced control strategy is proposed by using the predicted power information.The dynamic interval of the prediction information is determined through the probability and statistics distribution of the charge/discharge switch,and the total scope of the mixed energy storage is solved.Then,the wind output was decomposed into frequency,and the total scope was decomposed into supercapacitor scope and storage battery scope by the adaptive noise ensemble empirical mode decomposition(improved complete ensemble empirical mode decomposition with adaptive noise,ICEEMDAN).Then,the charge/discharge capacity of energy storage and the avoidance of over-charge and over�discharge of energy storage were considered,and the optimization was carried out by the double fuzzy controller.Finally,the energy storage is compensated according to different working modes through the energy storage action assist collaboration to optimize the charged state of the energy storage.A wind farm in Xinjiang of China was taken as an example to verify the effectiveness of the proposed strategy.

关 键 词：风电 预测误差 优化策略 自适应噪声集合经验模态分解 混合储能 荷电状态 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]