Analytic Approximation of Fault Current Contributions From Capacitive Components in HVDC Cable Networks

Bucher, Matthias K.; Franck, Christian M.

doi:10.1109/tpwrd.2014.2327132

Cited by 50 publications

(26 citation statements)

References 16 publications

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“…Then, the entire AC and DC network can be called a regional multi-terminal AC/DC hybrid distribution network [3]. Due to the low impedance of the DC distribution network, the fault currents will increase rapidly after a DC fault [4]. More seriously, in the multi-terminal AC/DC hybrid distribution network, the fault currents of different converters are superimposed over each other, which results in the higher demands on the semiconductor devices in the system.…”

Section: Introductionmentioning

confidence: 99%

A Fast DC Fault Detection Method for Multi-Terminal AC/DC Hybrid Distribution Network Based on Voltage Change Rate of DC Current-Limiting Inductor

Pei

et al. 2018

Energies

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The rapid detection of direct current (DC) faults is one of the key technologies for the development of multi-terminal alternating current (AC)/DC hybrid distribution networks. The DC fault current rises quickly and affects the whole network. Therefore, DC faults must be detected much faster than AC faults. This paper proposes a fast DC fault detection method based on the voltage change rate of the current-limiting inductor (CLI) for the multi-terminal AC/DC hybrid distribution network. Firstly, the characteristics of the fault voltages and currents and of the CLIs are studied in detail, and the feasibility of using the voltage change rate of the CLI to detect DC fault is analyzed. Based on this, a primary fault detection method is proposed to identify the faulty line, determine the fault type and the fault poles using the amplitudes of the single-ended CLI voltage change rates. For high-resistance DC faults, a backup detection method using the directions and amplitudes of the voltage change rates of the double-ended CLIs is proposed. Finally, the proposed method is verified by MATLAB simulations. The simulation results show that the proposed method can detect all DC faults accurately, and the faulty line, fault type and fault poles can be determined quickly. The proposed method is not affected by the fault location, current-limiting inductance, power reversal of the converters, AC fault and communication delay.

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Section: Introductionmentioning

confidence: 99%

A Fast DC Fault Detection Method for Multi-Terminal AC/DC Hybrid Distribution Network Based on Voltage Change Rate of DC Current-Limiting Inductor

Pei

et al. 2018

Energies

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“…However, due to their complexity, simplified expressions are usually used [133,135]. In this section, simplified mathematical expressions taking only into account the main dynamics of the system are derived.…”

Section: System Analysismentioning

confidence: 99%

“…after the fault onset, the response is highly influenced by the cable and other capacitances discharge, and ii) after that period of time, the response of the system is dominated by the current fed from the VSC stations. A detailed analysis of the first stage has already carried out in [135]. Below, mathematical expressions for the second stage are developed.…”

Section: System Analysismentioning

confidence: 99%

“…Slight differences can be observed during the first 3-5 ms due to the simplified PI model adopted for the cable discharge. However, more accurate results could be used for this stage by using a more complex model as in [135]. The previous figure shows the fault current through the zig-zag transformers.…”

Section: Analysis Of the Performance Of MML Converters Under Dc Faultmentioning

confidence: 99%

“…Additionally, the equations cannot be solved analytically and the analysis may be difficult to extend to multiterminal grids. An analytic approximation of the fault current contributions from capacitive components in HVdc cable networks is carried out in [135]. Nevertheless, this approach is only useful for the first milliseconds when the fault current contributions from capacitors are dominant.…”

Section: Introductionmentioning

confidence: 99%

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Integrated control of offshore wind farms and HVDC links with MML converters

Vidal-Albalate¹

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To my family Acknowledgments AgradecimientosEstas líneas son el comienzo de una tesis pero el final de un largo camino recorrido durante varios años. No es un camino fácil, pero si no fuera así tampoco sería tan gratificante el llegar a la meta. La tesis trata sobre la integración de las energías renovables y aunque no pretende resolver los grandes retos energéticos del planeta, sí que trata de aportar un grano de arena más que permita seguir avanzando hacía un mundo más verde y limpio.En primer lugar me gustaría expresar mi agradecimiento a mis directores de tesis, Enrique Belenguer de la Universitat Jaume I y Ramón Blasco de la Universitat Politècnica de València, por ser los principales impulsores de este trabajo, su ayuda y sus consejos. Por otra parte agradecer a Néstor por haberme introducido en el campo de la investigación y, en concreto, en el mundo de la energía eólica allá por el 2010 cuando todavía estaba estudiando la carrera y no tenía todavía ni idea que terminaría escribiendo estas líneas.Agradecer la acogida por parte del Profesor Jon Clare de la Universidad de Nottingham y permitirme participar en el grupo de investigación Power Electronics and Machines Control durante seis meses. Y también al Profesor Rubén Peña de la Universidad de Concepción por permitirme colaborar con su grupo de investigación.Me gustaría también dar las gracias a todos los compañeros de la Universitat Jaume I por sus ánimos y ayuda. Agradecer también al resto de miembros del grupo de investigación de la Universitat Politèncnica de València.Por último, agradecer especialmente el apoyo de mis amigos y familia, y concretamente a mis padres, por la eduación que me han dado, por transmitirme el espíritu de esfuerzo y superación, y sus constantes ánimos y apoyo.The present work was supported by the Spanish Ministry of Economy and EU FEDER Funds under grant DPI2014-53245-R and the Universitat Jaume I under Grants P1·1B2013-51 and E-2014-24. iii Abstract v C o n f i d e n t i a l Abstarct VI

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