A bottom-up approach to evaluate the harmonics and power of home appliances in residential areas
A bottom-up approach to evaluate the harmonics and power of home appliances in residential areas
复制标题
自下而上评估住宅区家电谐波和功率的方法
DOI：
10.1016/j.apenergy.2019.114207
复制
发表时间：
2020-02
期刊：
影响因子：
11.2
通讯作者：
Jin Zongshuai
中科院分区：
文献类型：
--
作者：
Sun Yuanyuan;Xie Xiangmin;Wang Qingyan;Zhang Linghan;Li Yahui;Jin Zongshuai
随着城市人口的不断增加，我国居民用电负荷的用电量也在迅速增加.与此同时，电力电子器件在家用电器中的广泛应用，给电力系统注入了大量的谐波，使得居民小区的谐波问题日益严重。本文提出了一种自下而上的方法来评估住宅能源使用的谐波。首先，提出了一种谐波耦合模型，用于计算单个非线性家用电器产生的谐波。该模型直接反映了不同次谐波电压和电流之间的耦合。其次，基于马尔可夫链蒙特卡罗方法，建立随机使用模型，确定家电的使用模式。考虑了影响我国能源使用的各种行为因素，提出了相应的修正因子，以提高模型的精度。第三，基于所提出的电气和随机使用模型，自下而上的方法来评估大规模住宅负荷的谐波和功率。仿真结果与现场实测结果进行了比较，验证了该方法的准确性和有效性。此外，所提出的方法被应用于预测的谐波产生和电力消耗的一些快速发展的谐波源，如电动汽车。
With expansion of the urban population, the power consumed by Chinese residential load is increasing rapidly. At the same time, power-electronic devices are widely adopted in home appliances, injecting a great amount of harmonics into the power system, which makes the harmonic problem in residential areas more serious than ever before. In this paper, a bottom-up approach is proposed to evaluate the harmonics of residential energy use. Firstly, a harmonic coupled model is proposed to calculate the harmonics generated by individual nonlinear home appliance. The model directly exhibits the couplings between different order harmonic voltages and currents. Secondly, based on the Markov chain Monte Carlo method, a random usage model is established to determine the usage pattern of home appliances. Various behavioral factors that affect the domestic use of energy in China are considered, and corresponding correction factors are proposed to improve the model accuracy. Thirdly, based on the proposed electrical and random usage models, a bottom-up approach is used to evaluate the harmonics and power of large-scale residential loads. Simulation results are compared with field measurements to verify the accuracy and validity of the proposed method. Furthermore, the proposed methodologies are applied to predict the harmonic generation and power consumption of some rapidly developing harmonic sources such as electric vehicles.
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