考虑智能用电的中长期电力负荷预测研究

Ji Haoran, Chen Xinru, Li Yang, Feng Xiaofeng, Lu Shixiang, Lin Guoying
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引用次数: 3

摘要

随着中国经济社会的发展,智能用电在居民的日常生活中越来越普遍,用电设备的种类也明显多样化。此外,不同类型用户的用电行为也存在差异。负荷特性可能发生变化,如峰载转移,峰谷不同地增加,甚至同时出现峰上峰载。智能用电可以使用电设备科学合理的使用,从而降低用电量,这也给负荷预测带来了挑战。本文在智能用电研究的基础上,采用概率分布模型拟合用户行为,并建立相应的负荷模型表征其与电网的相互作用。在此基础上,基于前景灰色理论,提出了一种考虑智能用电的中长期负荷预测方法,并进行了实例分析。最后,利用MATLAB得到电力负荷预测结果,分析智能用电对总电力负荷的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Medium and Long Term Power Load Forecasting Considering Intelligent Power Utilization
with the economic and social development of China, intelligent power utilization is getting increasing common in the daily lives of residents, while the types of electricity equipment are becoming various significantly. Furthermore, the electricity consumption behavior of different types of users are diverse. The load characteristics may change, such as peak load transferring, peak and valley differently increasing, and even peak on peak load at the same time. The intelligent power utilization can make scientific and rational use of electrical equipment, so that the electricity consumption can be reduced, which also brings a challenge to load forecasting. Based on the research of intelligent power utilization, this article employed a probability distribution model to fit the users' behavior, and established corresponding load models to characterize its interaction with the power grid. After that, based on the prospect-gray theory, a medium long term load forecasting method considering intelligent power utilization was proposed and analyzed by examples. Finally, this paper used MATLAB to get the power load forecasting result and analyze the influence of intelligent power utilization on the total power load.
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