A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty

C. Fuerte-Esquivel, A. Martínez-Mares
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引用次数: 49

Abstract

Summary form only given. As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system's operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between natural gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes natural gas network and a 4-nodes coal distribution system as well as for the real life Belgian natural gas and electricity infrastructures.
考虑风电不确定性的综合能源系统相互依赖分析鲁棒优化方法
只提供摘要形式。随着使用风能的发电厂越来越多地集成到现有的电力系统中,评估风力发电的不确定性如何影响电力系统的运行,以及它与用于运输各种形式的一次能源转化为电能的基础设施的相互依赖性,变得非常重要。本文提出了一种鲁棒优化模型,用于分析天然气、煤炭和电力基础设施之间的相互依赖关系,并考虑了它们的运行约束和风电的不确定性。该优化模型基于节点能量流的平衡,在一个统一的框架下获得了不确定性免疫解,该解对所有不确定数据值都保持可行且接近最优。案例研究验证了所提出的解决方案的有效性,该解决方案适用于由IEEE-118测试系统与15节点天然气网络和4节点煤炭分配系统耦合组成的多能系统,以及比利时现实生活中的天然气和电力基础设施。
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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