HVDC Transmission Line Models for Steady-State and Transients Analysis in SIMULINK Environment

Huang

et al. 2020

High Voltage

In order to overcome the drawbacks of the conventional protection methods in high‐voltage direct current transmission lines, a deep learning approach is proposed that directly learn the fault conditions based on unsupervised feature extraction to the detection and location decision by leveraging the hidden layer activations of recurrent neural network. The deep‐recurrent neural network boosting with the gated recurrent unit compared with the long short‐term memory unit is used by analysing both the signal presented in time domain and frequency domain. The proposed method is tested based on a modular multilevel converter based four‐terminal high‐voltage direct current system. Various faults under different conditions were simulated against fault resistance, external faults and small disturbance immunity with the validity, and the simulation verified a high accuracy, robustness and fast results because of the utilization of characteristic feature extraction.

Section: Experimental Setup and System Modellingmentioning

confidence: 99%

Intelligent fault detection and location scheme for modular multi‐level converter multi‐terminal high‐voltage direct current

Huang

et al. 2020

High Voltage

“…1. A 200 MW (±100 kV) VSC is used to transmit power across a DC transmission line of 200 km, modelled with 40 π sections, which is sufficient to accurately represent a DC transmission line [25]. The AC equivalent system connected to the rectifier substation is modelled as a source of 2000 MVA, 230 kV, 50 Hz.…”

Section: Adopted Vsc‐hvdc Systemmentioning

confidence: 99%

Efficient and robust ANN‐based method for an improved protection of VSC‐HVDC systems

Merlin

IET Renewable Power Generation

Blond³

et al. 2018

This study presents a method based on an artificial neural network (ANN) for protecting voltage source converters (VSC)-high-voltage direct current (HVDC) systems. The proposed method takes advantage of ANNs' excellent capabilities in pattern recognition and classification. The solution presented here is able to detect a fault condition in the whole HVDC system based only on voltage waveforms measured at the rectifier substation, which is an important advantage over other fault detection methods. For any given fault condition, the faulty zone is identified and then the fault is classified concerning the phases or poles involved. The proposed method is shown to be both robust against false operations and very reliable with respect to fault detection and classification. A large number of simulations were performed and results show the effectiveness of the proposed scheme. Different operational conditions and fault cases were considered to evaluate the proposed algorithm, ensuring excellent performance concerning a wide range of possible situations in VSC-HVDC systems.

“…To model the distributed nature of the line's parameters more closely, the original "π" model 75 km length DC transmission line was replaced by a DC transmission line with 40 "π" sections, which is sufficient to accurately represent a DC transmission line of 200 km length [25], used in this work.…”

Section: Vsc-hvdc System Model In Psb/simulinkmentioning

confidence: 99%

A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links

Electric Power Systems Research

Blond

Coury

et al. 2016

HVDC technology is increasingly important for long distance bulk power transmission, but existing protection relaying techniques for such a system are subject to limitations. This paper presents a novel Artificial Neural Network (ANN) based on an algorithm for fault detection, location and classification in VSC-HVDC systems. Taking advantage of the ability of ANNs to identify and classify patterns, the proposed algorithm is able to detect and correctly classify a fault occurring at either the rectifier substation on the DC line or at the inverter substation. Therefore, such a scheme can be used as a decision support tool or as a backup protection. Only local signals are used at the rectifier substation and no communication link is necessary, thus improving the system's protection reliability and reducing the overall cost of the hardware implementation. A detailed VSC-HVDC system is described and used to simulate a number of fault scenarios in the system. Using the resulting fault waveforms, a comprehensive decision support scheme is developed and described, paying particular attention to the signal processing chain and design of the specific ANNs for each relaying task. Finally, a detailed analysis of the influence of key fault parameters on the limits of the algorithm's performance is carried out.