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作 者:毛文博 曹冬志 姚良忠 朱克东 周竞 廖思阳[2] MAO Wenbo;CAO Dongzhi;YAO Liangzhong;ZHU Kedong;ZHOU Jing;LIAO Siyang(China Electric Power Research Institute(Nanjing),Nanjing 210003,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
机构地区:[1]中国电力科学研究院有限公司(南京),江苏南京210003 [2]武汉大学电气与自动化学院,湖北武汉430072
出 处:《电力自动化设备》2024年第8期92-99,108,共9页Electric Power Automation Equipment
基 金:国家重点研发计划项目(2020YFB0905904)。
摘 要:针对高比例新能源并网引发主动配电网电压越限问题,提出了一种考虑感应电机负荷特性的主动配电网电压模型预测控制方法。首先,通过建立感应电机负荷的稳态模型,分析了其有功和无功与并网点电压的耦合关系,提出考虑感应电机负荷特性的配电网状态估计方法,实现了对关键状态量的实时在线监测。然后,计及各类电压调节资源,构建考虑感应电机负荷特性的电压模型预测控制方法,并通过状态预测、滚动优化和反馈控制3个关键环节,在维持配电网电压安全的前提下,以最低调节成本实现感应电机负荷并网点电压与设定值的偏差最小化。最后,基于IEEE33节点系统算例进行仿真,验证了所提方法在提高状态估计精度、改善电压控制效果方面的有效性。Aiming at the voltage violation problem in active distribution networks caused by high proportion of renewable energy,the voltage model predictive control method of active distribution network considering load characteristics of induction motor is proposed.Firstly,the steady-state model of induction motor load is established to analyze the coupling relationship between its active and reactive power and the voltage of point of common coupling(PCC),and a distribution network state estimation method considering the load characteristics of induction motor is proposed to realize real-time online supervisory of critical state variables.Then,taking different kinds of voltage regulation sources into account,the voltage model predictive control method is constructed with the consideration of load characteristics of induction motor.Through the three critical steps of state estimation,rolling optimization and feedback control,the proposed control method can realize the minimum regulation cost for minimize the derivation between the measured voltage value of PCC connected with induction motor load and its set value under the premise of maintaining the network voltage security.Finally,a simulation case based on IEEE 33-bus system is built to verify the effectiveness of proposed method on improving the accuracy of state estimation and the effect of voltage control.
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