越南能源系统与可再生能源的整合建模

A. Edelev, D. Karamov, I. Sidorov, D. V. Binh, N. H. Nam, N. H. Anh, P. Duy, P. Hanh
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引用次数: 3

摘要

本文对越南电力系统中可再生能源的大规模渗透进行了研究。提出的方法将不同发电技术的运行决策优化作为一个马尔可夫决策过程。它使用一个随机基础模型来优化一个确定性的前瞻性模型。第一个模型采用随机搜索优化电源的运行。第二个模型捕捉了一年中可再生能源每小时的变化。该方法有助于找到不同市场条件下的最优发电配置。
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Modelling energy systems of Vietnam with integration of renewable power sources
The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.
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