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作 者:江友华 陈明磊 曹以龙 JIANG You-hua;CHEN Ming-lei;CAO Yi-long(School of Electrical and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
机构地区:[1]上海电力大学电子与信息工程学院,上海200090
出 处:《计算机仿真》2021年第5期334-338,共5页Computer Simulation
基 金:上海市地方能力建设项目(1411050090)。
摘 要:为克服传统配电网谐波源信定位中存在的定位与实际偏差较大、精度较低问题,提出基于免疫优化ICA算法的配电网谐波源定位方法。以负荷率和额定定容量为配电网主要参数,构建配电网变压器模型。在此基础上,得到配电网等效集中参数模型利用原子分解法,表达所选配电原子信号的线性度,利用原子分解法表达配电网中的谐波信号,获取谐波信号中存在的相关信息,为配电网谐波源的定位提供依据。通过计算得到的谐波电压和谐波电流之间存在的互信息,获取谐波电压在谐波电流互信息为最大值时对应的节点,即为配电网谐波源的位置,实现配电网谐波源的定位。仿真结果验证了提出的方法在配电网谐波源定位精度方面的优势,具有很好的应用前景。In traditional harmonic source locations,the positioning accuracy is low.Therefore,a method to locate the harmonic source in the power distribution network based on the immune optimization ICA algorithm was proposed.At first,we took the load rate and rated capacity as the main parameters of the power distribution network,to construct the model of voltage transformer in the power distribution network.On this basis,we built the equivalent centralized parameter model of the power distribution network and then used the atomic decomposition method to express the linearity of the selected power distribution atomic signal.Moreover,we adopted the atomic decomposition method to express the harmonic signal in the distribution network,and thus to obtain the relevant information in the harmonic signal,which would provide a basis for positioning the harmonic source of the distribution network.By calculating the mutual information between harmonic voltage and harmonic current,we got the node corresponding to the harmonic voltage when the mutual information of harmonic current was the maximum value.That was the location of the harmonic source in the distribution network.Finally,we achieved the positioning of the harmonic source in the power distribution network.Simulation results show that the proposed method has advantages in locating the accuracy of harmonic sources in the distribution network,so it has good application prospects.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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