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FULL-LINEAR MODEL FOR OPTIMAL POWER FLOW OF INTEGRATED POWER AND NATURAL-GAS SYSTEM BASED ON DEEP LEARNING METHODS

机译:基于深度学习方法的天然气与天然气综合发电系统最优潮流全线性模型

摘要

Embodiments provide a full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method, mainly comprising following steps of: 1) establishing an integrated power and natural-gas system and acquiring basic data of the integrated power and natural-gas system; 2) establishing a linear natural-gas model based on deep learning; and 3) based on the linear natural-gas model, establishing a full-linear model for the optimal power flow of the integrated power and natural-gas system. In the full-linear model for the optimal power flow of an integrated power and natural-gas system based on a deep learning method provided by the present invention, one-segment linearization is performed on a natural-gas pipeline model. Compared with the conventional segmented linear model, the method provided by the present invention can greatly improve the calculation efficiency.
机译:实施例提供了一种基于深度学习方法的电力天然气综合系统最优功率流的全线性模型,主要包括以下步骤:1)建立天然气电力综合系统并获取基础数据。电力和天然气综合系统; 2)建立基于深度学习的线性天然气模型; 3)基于线性天然气模型,建立了一个完整的线性模型,以用于综合电力和天然气系统的最优潮流。在根据本发明提供的基于深度学习方法的用于电力和天然气的集成系统的最佳功率流的全线性模型中,对天然气管道模型执行了一个段的线性化。与传统的分段线性模型相比,本发明提供的方法可以大大提高计算效率。

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