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作 者:李明洋 郑宇坤 李思霈 陆佳佳 殷垚 夏成林[1,2] 汪燕倩 戴阳[1,2] LI Mingyang;ZHENG Yukun;LI Sipei;LU Jiajia;YIN Yao;XIA Chenglin;WANG Yanqian;DAI Yang(State Grid Electric Power Research Institute,NARI Group Corporation,Nanjing 211006,China;NARI Technology Co.,Ltd.,Nanjing 211006,China;School of Intelligent Engineering,Xi'an Jiaotong-Liverpool University,Suzhou 215123,China;Nanjing Suyi Industrial Co.,Ltd.,Nanjing 211006,China;Liu Guojun School of Management,Changzhou University,Changzhou 213159,China)
机构地区:[1]南瑞集团公司国网电力科学研究院,江苏南京211006 [2]国电南瑞科技股份有限公司,江苏南京211006 [3]西交利物浦大学智能工程学院,江苏苏州215123 [4]南京苏逸实业有限公司,江苏南京211006 [5]常州大学刘国钧管理学院,江苏常州213159
出 处:《自动化仪表》2025年第2期45-50,56,共7页Process Automation Instrumentation
摘 要:微网可以整合分布式能源,是新型电力系统的重要组成部分。传统方法通过使用微网中央控制器(MGCC)来恢复由局部下垂控制器产生的频率和幅度偏差。微网分层控制模型将整个微网的控制层分为三层。每个控制层实现不同的功能。第一层控制实现了微网的下垂控制。第二层控制(二次控制)恢复了由第一层控制产生的电压幅值和频率的偏差。第三层控制实现了微网与主网的功率交换,使得微网可以参与全网的经济调度。分析了二次控制的不足,提出了一种优化的分布式二次控制模型。仿真分析结果表明,优化的分布式二次控制模型不依赖于中央控制器、鲁棒性更好。该模型实现了微电源间无功功率的准确分配。Microgrids can integrate distributed energy sources and are an important part of new power systems.The traditional approach is to recover frequency and amplitude deviations generated by localized sag controllers by using a microgrid central controller(MGCC).The microgrid hierarchical control model divides the control layer of the entire microgrid into three layers.Each control layer realizes a different function.The first layer of control realizes the sag control of the microgrid.The second layer of control(secondary control)recovers the voltage amplitude and frequency deviations generated by the first layer of control.The third layer of control realizes the power exchange between the microgrid and the main network,which allows the microgrid to take part in the economic dispatch of the whole network.The deficiencies of the secondary control are analyzed and a improved distributed secondary control model is proposed.The simulation analysis results shows that the improved distributed secondary control model does not depend on the central controller and has better robustness.The model realizes the accurate distribution of reactive power among micro power sources.
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