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直流配电网的三点估计概率潮流计算方法 被引量:4

Three-Point Estimation Probability Power Flow Calculation Method for DC Distribution Network
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摘要 随着以风电、光伏为主的分布式电源的发展和直流负荷的增加,直流电网越来越受到人们的重视。相比于交流配电网,直流配电网在消纳大量可再生能源和直流负荷的同时,可以节省大量的换流环节,减小损耗并提高经济效益。该文将用于交流电网的基于三点估计法和Nataf逆变换的概率潮流计算方法与直流潮流模型相结合,提出了一种适用于含多种分布式电源直流配电网概率潮流计算的方法。将该文方法与蒙特卡洛法进行比较,当消纳新能源容量增加时三点估计法计算误差与蒙特卡洛相近,计算速度提高;同时将应用三点估计的直流潮流计算和交流潮流计算做对比,当应用于直流系统时误差呈现小于交流系统的趋势,说明了所提计算方法的精确性和有效性。 With the development of distributed power sources based on wind power and photovoltaics and the increase of DC loads,DC power grids have attracted more and more attention.Compared with the AC distribution network,the DC distribution network can save a lot of commutation links,reduce losses and improve economic benefits while consuming a large amount of renewable energy and DC loads.This paper combined the probabilistic power flow calculation method based on the three-point estimation method and Nataf inverse transform for AC power grids with the DC power flow model,and proposed a method suitable for the probabilistic power flow calculation of the DC distribution network with multiple distributed power sources.Comparing the method in this paper with the Monte Carlo method,when the new energy capacity increases,the calculation error of the three-point estimation method is similar to that of Monte Carlo,and the calculation speed is increased;at the same time,the DC power flow calculation and AC power flow calculation using the three-point estimation will be used.In contrast,when applied to the DC system,the error tends to be smaller than that of the AC system,which illustrates the accuracy and effectiveness of the proposed calculation method.
作者 鄂霖 马振 肖宇 朱永强 E Lin;MA Zhen;XIAO Yu;ZHU Yongqiang(Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Changping District,Beijing 102206,China)
出处 《分布式能源》 2021年第3期38-46,共9页 Distributed Energy
基金 国家重点研发计划项目(2018YFB0904701)。
关键词 直流配电网 分布式电源 概率潮流 三点估计法 DC distribution network distributed power generation probabilistic power flow three-point estimation method
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