基于分布式模型预测控制的自适应二次调频策略  

Self-Adaptive Secondary Frequency Regulation Strategy Based on Distributed Model Predictive Control

作　　者：曹永吉 张江丰 王天宇 郑可轲 吴秋伟 CAO Yongji;ZHANG Jiangfeng;WANG Tianyu;ZHENG Keke;WU Qiuwei(Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,Guangdong,China;Academy of Intelligent Innovation,Shandong University,Jinan 250101,China;State Grid Zhejiang Electric Power Co.,Ltd.Research Institute,Hangzhou 310006,China)

机构地区：[1]清华大学清华深圳国际研究生院,广东深圳518055 [2]山东大学智能创新研究院,济南250101 [3]国网浙江省电力有限公司电力科学研究院,杭州310006

出　　处：《上海交通大学学报》2025年第3期333-341,共9页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(52177096);山东省自然科学基金(ZR2021QE133);国家电网公司科技资助项目(5108-202219050A-1-1-ZN)。

摘　　要：针对电力系统参数变化导致二次调频适应性降低的问题,提出一种基于分布式模型预测控制(DMPC)的自适应二次调频策略.首先,构建多区域互联系统的二次调频模型,进而基于频率响应轨迹建立各区域系统的参数辨识模型.其次,采用递推最小二乘法求解参数辨识模型,在线更新区域系统的参数.然后,以区域控制偏差最小为目标,利用DMPC优化机组出力,实现二次调频控制.最后,利用算例分析验证了所提方法的有效性.To address the issues of reduced adaptability of secondary frequency regulation caused by changes in power system parameters,a self-adaptive secondary frequency regulation strategy based on distributed model predictive control(DMPC)is proposed.First,a model of a multi-area interconnected power system is built.Based on the frequency response trajectory,a parameter identification model for each area of the system is established.Then,the recursive least square method is used to solve the parameter identification model and update the parameters of each area online.Additionally,with the objective to minimize the area control error(ACE),DMPC is adopted to optimize the power of generators for secondary frequency regulation.Finally,a case study is conducted to demonstrate the effectiveness of the proposed strategy.

关 键 词：分布式模型预测控制 二次调频 参数辨识 区域控制偏差 优化决策 

分 类 号：TM715[电气工程—电力系统及自动化]