基于发电充足性分析的间歇式可再生能源在水热发电系统中的最大渗透

Verónica P. Cárdenas, J. Cepeda, D. Echeverria
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摘要

本文的目的是分析厄瓜多尔电力系统(国家互联系统SNI,其西班牙语名称)发电机的旋转储备,必须考虑补偿未来间歇性可再生能源(IRE)渗透造成的可能波动。为此,必须首先根据月概率分布函数(PDF)确定随机常规发电模型。为此,提出了一种新的方法来确定代表每个植物全年行为的“平均”概率分布函数。这种方法是利用卷积的数学概念发展起来的。将确定的发电模型与负荷模型、风力模型一起进行蒙特卡罗仿真,确定SNI的可靠性指标。最后,基于随机发电充足性结果,提出了一种估算热液电力系统IRE最大渗透的新方法。所获得的结果可以建议适当的风力发电装机容量水平,并建议适当的操作行动,以确保有足够的储备能力应对IRE造成的波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum penetration of intermittent renewable energy in hydrothermal electric power systems based on generation adequacy analysis
The aim of this paper is to make an analysis of the spinning reserve of power generators at the Ecuadorian Electric Power System (National Interconnected System SNI, by its name in Spanish) that will have to be considered to compensate for possible fluctuations caused by future penetration of intermittent renewable energy (IRE). For this purpose, the stochastic conventional generation models must firstly be determined based on monthly probability distribution functions (PDF). To this aim, a novel methodology to determine an “average” probability distribution function, representing the behavior of the entire year of each plant, has been proposed. This methodology was developed by using the mathematical concept of convolution. The determined generation models together with the load model and the wind generation model are processed via Monte Carlo simulation in order to determine reliability indices for the SNI. Finally, based on the stochastic generation adequacy results, a novel methodology for estimating the maximum penetration of IRE in hydrothermal electric power systems is proposed. The obtained results allow recommending appropriate levels of wind generation installed capacity and suggesting proper operational actions in order to ensure sufficient reserve capacity to face fluctuations caused by IRE.
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