Multi-Machine Power System Simulation via Differential Transformation

IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ricardo Galarza-Villa;Alejandro Zamora-Mendez;Carlos Perez-Rojas;Mario R. Arrieta Paternina
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引用次数: 0

Abstract

In this paper, the differential transformation (DT) is applied to the dynamic analysis of multi-machine systems, whose solution is numerically obtained by solving a set of differential-algebraic equations that represent the power system dynamics. This method is an algorithm to calculate the Taylor coefficients in a fast and efficient way, making the Taylor method competitive against traditional numerical integration methods such as the modified Euler (ME) method and trapezoidal rule (TR). Thus, the DT's rules for solving differential-algebraic equations of large multi-machine power systems are applied. To exhibit the DT's performance, the power system toolbox (PST) is adopted and compared against other integration methods for multi-machine power system simulation. Finally, time-domain simulations on the WECC and Mexican systems are performed by means of DT and compared with ME and TR methods to demonstrate the effectiveness of the proposal, showcasing that our proposal improves up to 12 times the traditional methods.
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来源期刊
IEEE Latin America Transactions
IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
3.50
自引率
7.70%
发文量
192
审稿时长
3-8 weeks
期刊介绍: IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.
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