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.
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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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