Parameter Preserving Model Order Reduction of Large Sparse Small-Signal Electromechanical Stability Power System Models

Acle, Yussef G.I.; Freitas, Francisco Damasceno; Martins, N.; Rommes, Joost

doi:10.1109/tpwrs.2019.2898977

Cited by 21 publications

(21 citation statements)

References 20 publications

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“…Model Reduction has already been applied in various power system analyses: MOR using balanced empirical Gramians was investigated for linear systems in [12,13,14] and nonlinear systems in [15,16,17,18,19]. Given the need to reduce large power systems, [20] used a linear system reduction method and the work was successful for small-signal stability while [21] performed a parametric MOR aimed at preserving parameters related to decentralised power system devices such as stabilisers. Additionally, MOR has been used to obtain reduced models of PV systems [22,23], battery energy storage systems [24] and of microgrids [25], using the singular perturbation technique.…”

Section: Network Reduction In Power System Analysis -Related Workmentioning

confidence: 99%

Model order reduction for reliability assessment of flexible power networks

Ndawula

Hernando‐Gil

et al. 2021

International Journal of Electrical Power & Energy Systems

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Model order reduction (MOR) has demonstrated its robustness and wide applicability in simulating large-scale mathematical models in the engineering research domain. In this paper, MOR techniques are applied to quantify relevant reliability metrics of power distribution systems and the impact associated with the integration of different smart grid technologies. To the best of the authors' knowledge, this is the first application of MOR techniques of balanced truncation to derive reliability models of electricity networks, which exhibit a reduced number of equivalent components and thus simplify the complexity for network analysis. The extensive case studies presented, based on both radial and meshed systems, demonstrate that the proposed technique allows for a faster reliability assessment through Monte Carlo simulation while preserving high accuracy. The proposed methodology can also be applied to systems endowed with photovoltaic and energy storage technologies, emphasising that this approach represents a promising starting point for reliability analysis of more complex systems, which are normally characterised by a large penetration of these distributed energy resources.

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Section: Network Reduction In Power System Analysis -Related Workmentioning

confidence: 99%

Model order reduction for reliability assessment of flexible power networks

Ndawula

Hernando‐Gil

et al. 2021

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

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“…Reduced-order models have been developed in many areas of engineering, such as circuits (e.g., [1][2][3][4]), power systems (e.g., [5][6][7]), electromagnetics (e.g., [8][9][10]), fluid mechanics (e.g., [11][12][13]), nonlinear structural mechanics and earthquake engineering (e.g., [14]), nonlinear hydraulic fracturing problems (e.g., [15]), etc., to cite a few. Deep-learning artificial neural networks have been introduced to build on more traditional model-order reduction methods, such as the Proper Orthogonal Decomposition (POD), 1 to increase computational efficiency [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Model Reduction by Generalized Falk Method for Efficient Field-Circuit Simulations

Vu‐Quoc¹,

Zhai²,

Ngo³

2021

Computer Modeling in Engineering &Amp; Sciences

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“…The embedded electromechanical control system which combines integrated circuit technology, embedded technology and automatic control technology shows great advantages in this field. In some fields, such as industrial process control, digital machine tool, power system, and petrochemical system, embedded electromechanical control system has become the mainstream [3,4]. Embedded electromechanical control system is a modular, reconfigurable, scalable, software and hardware integrated open control system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Implementation of a Fast Start Scheme for a High Real-Time Embedded Electromechanical Control System

2021

IJOMAM

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The purpose is to shorten the start-up time of high real-time embedded electromechanical control system, so as to improve the system performance. Based on the theory of software composition and start-up process of high real-time embedded electromechanical control system, in the research of bootloader stage of embedded electromechanical control system, the advantages and disadvantages of two start-up schemes based on NOR flash and NAND (Not AND) flash are analysed. The optimization design of system quick start scheme based on NOR flash is proposed, including the modular design of embedded Linux kernel and the implementation of hybrid file system based on compressed ROM filesystem (CRAMFS) and Yet Another Flash File System (YAFFS2). Finally, the control of the refrigerator in the cooling control system is taken as an example to carry out the simulation experiment. The results show that compared with before optimization, after the optimization of the system quick start scheme, the system in stage 1 is shortened by 2.11s, the stage 2 is shortened by 6.22s, and the total time of the whole starting process is shortened by 6.33s; the theoretical speed of the motor increases from 0 to 1560, while the actual output speed increases from 0 to 1655; the error of the actual output relative to the theoretical speed is small (about 1%), the range of real-time frequency change is [0, 25.2] and the value is in the ideal range. This shows that the optimization design effect of the fast start scheme is ideal, and the scheme can make the motor performance of the system in a stable operation state.

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Parameter Preserving Model Order Reduction of Large Sparse Small-Signal Electromechanical Stability Power System Models

Cited by 21 publications

References 20 publications

Model order reduction for reliability assessment of flexible power networks

Model order reduction for reliability assessment of flexible power networks

Model Reduction by Generalized Falk Method for Efficient Field-Circuit Simulations

Optimal Design and Implementation of a Fast Start Scheme for a High Real-Time Embedded Electromechanical Control System

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