摘要
近年来,全球变暖问题愈发严重,以煤炭为代表的化石能源不再成为全球能源资源的主流,而分布式能源具有清洁、取用轻便等优点,得到了广泛的应用。随着愈来愈多的分布式电源并入电网,电网的不确定性随之增加,这给电网的安全稳定运行带来了一定的挑战。为此,本文首先分析了分布式电源并网后对配电网的影响,然后引入均值-方差-偏度期望最大化优化模型对配电网风险进行了评估,并通过算例分析验证了该模型的优越性。
In recent years, the problem of global warming has become more and more serious.Fossil energy represented by coal is no longer the mainstream of global energy resources, while distributed energy has the advantages of clean and light access, and has been widely used.With more and more distributed generators incorporated into the power grid, the uncertainty of the power grid increases, which brings some challenges to the safe and stable operation of the power grid.Therefore, this paper first analyzes the impact of distributed generation on distribution network after grid connection, then introduces the mean variance skewness model to evaluate the risk of distribution network, and verifies the superiority of the model through example analysis.
作者
王猩
WANG Xing(School of Information and Electronic Technology,Jiamusi University,Jiamusi 154007,China)
出处
《电气开关》
2022年第3期49-51,共3页
Electric Switchgear
关键词
分布式电源
并网
均值-方差-偏度模型
distributed generation
grid connection
mean variance skewness model
