太阳能发电短期预测下的电力系统经济调度

2019 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2019-12-01 DOI:10.1109/CSCI49370.2019.00096

E. Espinosa-Juárez, Jorge Luis Solano-Gallegos, F. Ornelas‐Tellez

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引用次数: 3

摘要

本文研究了具有非常规能源和储能的电力系统的经济调度问题。经济调度考虑了24小时内的需求变化，并考虑了一小时前的太阳能预测，基于自回归过程。所实现的算法允许分析不同约束条件下的经济调度。给出了一个案例研究，其中考虑了不同水平的可再生能源渗透到系统中，并观察了所实现算法的有效性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Economic Dispatch for Power System with Short-Term Solar Power Forecast

This paper presents the problem of economic dispatch for an electrical system with unconventional energy sources and energy storage. The economic dispatch is considered for demand variations over 24 hours, taking into account the forecast of solar energy for one hour ahead, based on the autoregressive process. The implemented algorithm allows analysis of economic dispatch under different restrictions. A case study is shown, where different levels of renewable energy penetration into the system are considered and the effectiveness of the implemented algorithm is observed

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2019 International Conference on Computational Science and Computational Intelligence (CSCI)

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