基于优化赋权模型预测控制的风储协调策略研究  

RESEARCH ON WIND STORAGE COORDINATION STRATEGY BASED ONPREDICTIVE CONTROL OF OPTIMIZATION EMPOWERMENT MODEL

作　　者：王威[1] 谢丽蓉 张琦[1] 包洪印 王贺佳 刘昕[1] Wang Wei;Xie Lirong;Zhang Qi;Bao Hongyin;Wang Hejia;Liu Xin(Research Center of Renewable Energy Power Generation and Grid Control Engineering,Ministry of Education,Xinjiang University,Urumqi 830047,China;CSSC Haiwei(Xinjiang)New Energy Co.,Ltd.,Urumqi 830002,China)

机构地区：[1]可再生能源发电与并网技术教育部工程研究中心(新疆大学),乌鲁木齐830047 [2]中船海为(新疆)新能源有限公司,乌鲁木齐830002

出　　处：《太阳能学报》2024年第5期260-266,共7页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(62163034);新疆重大科技专项(2022A01001-1);新疆风光柴储微电网工程技术研究中心;新疆维吾尔自治区天山创新团队(2021D14012)。

摘　　要：风储系统多目标之间存在难以协调控制的问题,权重系数的选择对多目标控制效果具有显著影响。首先,构建以储能充放平衡、并网波动最小和储能输出最小的风储系统多目标函数,考虑各子目标权重系数对风储系统的影响,提出一种改进鲸鱼算法(IWOA)优化模型预测控制(MPC)的风储协调运行方法,采用组合隶属度函数进行满意度评价,得到混合储能最优总控制量和权重系数。然后,采用集合经验模式分解(ICEEMDAN)算法对混合储能总控制量进行分解,利用Pearson相关系数对分解分量进行重构,实现混合储能功率的分配。最后,以新疆某风电场数据进行仿真,验证所提优化模型的有效性和功率分配策略的合理性。There is a problem that it is difficult to coordinate the control between multiple objectives of the wind storage system,the selection of weight coefficient has a significant impact on the control effect of multiple objectives.Firstly,this paper constructs a multiobjective function of the wind storage system with the balance of energy storage charging and discharging,the smallest grid-connected fluctuation and the smallest energy storage output,considers the influence of each sub-target weight coefficient on the wind storage system,and proposes a wind storage coordinated operation method that improves the predictive control(MPC)of the whale algorithm(IWOA)optimization model,and uses the combined membership function for satisfaction evaluation to obtain the optimal total control and weight coefficient of hybrid energy storage.Then,the set empirical mode decomposition(ICEEMDAN)is used to decompose the total control quantity of hybrid energy storage,and the Pearson correlation coefficient is used to reconstruct the decomposition component to realize the distribution of hybrid energy storage power.Finally,the simulation of a wind farm data in Xinjiang verifies the effectiveness of the proposed optimization model and the rationality of the power allocation strategy.

关 键 词：风储系统 模型预测控制 混合储能 权重系数 改进鲸鱼算法 组合模糊隶属度函数 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]