Fast and accurate simulation of smart digital controllers in power system dynamic studies

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Mehran Jafari , Gautier Bureau , Marco Chiaramello , Adrien Guironnet , Patrick Panciatici , Petros Aristidou
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引用次数: 0

Abstract

In recent decades, the number of smart digital controllers employed in electric power systems has increased drastically. Either from the modernization of existing analog ones or the introduction of new, data-driven, or even optimization-based controllers, they are now dominating the behavior of power systems. However, this introduces a challenge in the simulation of power system dynamics, as the existing numerical simulation methods are very time-consuming when tackling the resulting hybrid differential-algebraic systems. In this paper, a novel interpolation-based method is proposed for performing fast and accurate dynamic simulations of electric power systems equipped with smart digital controllers. This method fully exploits the potential of variable time-step integration methods without requiring a time-step reduction in the case of discrete events stemming from digital controllers. Therefore, it accelerates the numerical simulation of large-scale systems containing many non-equation-based smart digital controllers, while maintaining accuracy. The performance of the proposed method is showcased using both conventional and smart digital controllers.
智能数字控制器在电力系统动态研究中的快速准确仿真
近几十年来,电力系统中使用的智能数字控制器的数量急剧增加。无论是对现有模拟控制器进行现代化改造,还是引入新的、数据驱动的,甚至是基于优化的控制器,它们现在正在主导电力系统的行为。然而,这给电力系统动力学模拟带来了挑战,因为现有的数值模拟方法在处理所得到的混合微分-代数系统时非常耗时。本文提出了一种新的基于插值的方法,用于对配备智能数字控制器的电力系统进行快速、准确的动态仿真。该方法充分利用了可变时间步长积分方法的潜力,而不需要在数字控制器产生的离散事件的情况下减少时间步长。因此,它在保持精度的同时,加速了包含许多非基于方程的智能数字控制器的大型系统的数值模拟。采用传统和智能数字控制器分别展示了所提方法的性能。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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