考虑热负荷不确定性的电热综合能源系统随机优化调度

Lin Song, Haotian Wu, D. Ke, Jian Xu, Jing-Jing Zheng, Zaixun Ling, Yibo Cui
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引用次数: 0

摘要

本文基于Cornish-Fisher序列对多情景下的太阳辐照度进行预测,建立了考虑热负荷不确定性的区域电热综合能源系统日前随机调度模型。仿真验证了所提方法在预测热负荷方面具有较高的准确性,能够促进可再生能源的利用,有效降低用户的能源成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Optimal Dispatching of Electrothermal Integrated Energy System Considering Uncertainty of Heat Load
This paper is based on Cornish-Fisher series to predict solar irradiance in multiple scenarios, and establishes a day-ahead stochastic dispatch model of regional electric heating integrated energy system considering the uncertainty of thermal load. It is verified by simulation that the proposed method has higher accuracy in predicting heat load, can promote the consumption of renewable energy, and effectively reduce the energy cost of users.
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