Stochastic hydro-thermal scheduling optimization: An overview

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• 作者：Anderson Rodrigo de Queiroz ; ^{ar_queiroz@yahoo.com.br" class="auth_mail" title="E-mail the corresponding author} ; ^{arqueiroz@ncsu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Hydro-thermal scheduling ; Multi-stage stochastic optimization ; Renewable generation ; Electrical power systems ; Sampling-based decomposition algorithms
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：62
• 期：Complete
• 页码：382-395
• 全文大小：1159 K

文摘

This paper presents an overview about the hydro-thermal scheduling problem. In an electrical power system power generators have to be scheduled over a time horizon in order to supply system demand. The scheduling problem consists in dispatching the available generators to meet the system electric load while minimizing the operational costs related to fuel and possible load curtailments. In a system with a large share of hydro generation, different from a thermal dominant power system, the uncertainty of water inflows play an important role in the decision-making process. In this setting the scheduling of generators has to be determined considering different future possibilities for water availability. Also, in the existence of a cascade system, the availability of water to produce electricity in hydro plants is influenced by decisions taken in upstream reservoirs. These issues complicate the hydro-thermal scheduling problem that often in the literature is modeled as a multi-stage stochastic program. In this paper we aim to give an overview about the main ideas behind this problem. We present model formulations, a solution technique, and point out to new developments related to this research.