【作者】 康忠健； 常铮； 李锴绩； 赵兵；

【Author】 Zhongjian Kang;Zheng Chang;Kaiji Li;Bing Zhao;College of New Energy,China University of Petroleum;China Electric Power Research Institute;

【机构】 中国石油大学(华东)新能源学院； 中国电力科学研究院；

【摘要】 随着系统中的电力电子化负荷逐渐增多,系统的特性也在随之改变,经典的综合负荷模型(SLM)对电力电子化负荷的等效有所不足。变频空调是典型的电力电子化负荷,且在居民楼和商场等场所应用广泛,文章以变频空调为例,通过研究其工作机理,对单台变频空调进行了详细建模,并通过实际变频空调实验数据对模型进行验证。通过分析经典SLM对变频空调负荷等效的不足之处,提出了一种带无功调整的改进SLM。并分别以纯变频空调负荷集群和某油田配网加入变频空调负荷为仿真算例,以粒子群算法(PSO)为参数辨识方法,对比了不同算例下经典SLM和改进SLM的模型等效精度,验证了带无功调整的改进SLM对纯变频空调负荷以及含高比例变频空调负荷具有更高的等效精度。更多还原

【Abstract】 As the increase of the proportion of power electronic load in the system, the characteristics of the system are also changing. The classical synthesis load model(SLM) is not enough for the equivalent of power electronic load. Inverter air conditioner is a typical power electronic load, which is widely used in residential buildings and shopping malls. Taking the inverter air conditioner as an example and studying its working principle, a detailed model of the inverter air conditioner is built and the detailed model is verified by actual inverter air conditioner experimental data. Based on the analysis of the shortcomings of classical SLM in load equivalence of variable frequency air conditioner, an improved SLM with reactive power adjustment is proposed. Taking inverter air conditioner group load and an oil field network with inverter air conditioner load as simulation examples respectively and particle swarm optimization(PSO) as parameter identification method, the model equivalent accuracy of classical SLM and improved SLM under different examples is compared, which verifies that the improved SLM with reactive power adjustment has better equivalent accuracy for pure inverter air conditioner load and high proportion inverter air conditioner load.更多还原