Restricted Boltzmann Machines Based Fault Estimation in Multi Terminal HVDC Transmission System

Muzzammel, Raheel

doi:10.1007/978-981-15-5232-8_66

Cited by 8 publications

(12 citation statements)

References 80 publications

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“…The general equations to determine the sequence quantities for positive, negative, and zero sequence components from a three-phase system, as [23][24][25][26]…”

Section: The Equations For Symmetrical Componentsmentioning

confidence: 99%

Fault Ride-Through (FRT) Behavior in VSC-HVDC as Key Enabler of Transmission Systems Using SCADA Viewer Software

Bimenyimana¹,

Wang²,

Asemota³

et al. 2022

Energy Engineering

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The world's energy consumption and power generation demand will continue to rise. Furthermore, the bulk of the energy resources needed to satisfy the rising demand is far from the load centers. The aforementioned requires long-distance transmission systems and one way to accomplish this is to use high voltage direct current (HVDC) transmission systems. The main technical issues for HVDC transmission systems are loss of synchronism, variation of quadrature currents, amplitude, the inability of station 1 (rectifier), and station 2 (inverter) to either inject, or absorb active, or reactive power in the network in any circumstances (before a fault occurs, during having a fault in network and after a fault cleared), and the variations of power transfer capabilities. Additionally, faults impact power quality such as voltage dips and power line outage time. This paper presents a method of overcoming the aforementioned technical issues using voltage-source converter (VSC) based HVDC transmission systems with SCADA VIEWER software and dynamic grid simulator. The benefits include having a higher capacity transmission system and proposed best method for control of active and reactive power transfer capabilities. Simulation results obtained using MATLAB validated the experimental results from SCADA Viewer software. The results indicate that the station's rectifier or inverter can either inject or absorb either active power or reactive power in any circumstance. Also, the reverse power flow under different modes of operation can ride through faults. At a 100.0% power transfer rate, the rectifier injected 775.0 W into the network. At a 0.0% power transfer rate, the rectifier injected 164.0 W into the network. At a −100.0% rated power, the rectifier injected 1264.0 W into the network and direction was also changed.

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“…The general equations to determine the sequence quantities for positive, negative, and zero sequence components from a three-phase system, as [23][24][25][26]…”

Section: The Equations For Symmetrical Componentsmentioning

confidence: 99%

Fault Ride-Through (FRT) Behavior in VSC-HVDC as Key Enabler of Transmission Systems Using SCADA Viewer Software

Bimenyimana¹,

Wang²,

Asemota³

et al. 2022

Energy Engineering

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“…where z 1 estimates the three-phase current i, z 2 estimates three-phase voltage disturbance of motor drive system, If the open-circuit fault occurs in T 5 , u co is different from (7) Mathematical Problems in Engineering…”

Section: E Voltage Expansionmentioning

confidence: 99%

“…At present, the diagnostic methods of IGBT open-circuit fault are classified into the current-based method, the voltagebased method, and the intelligent algorithm methods. e intelligent inverter fault diagnosis methods are mainly the neural network method [3][4][5], the fuzzy logic method [6], spectrum analysis method [7], and so on. Due to these intelligent fault diagnosis methods which rely on experience and the fact that they are subjective, they are less used in inverter fault diagnosis.…”

Section: Introductionmentioning

confidence: 99%

The Diagnostic Method for Open-Circuit Faults in Inverters Based on Extended State Observer

Chen

Yang

Zhang

et al. 2021

Mathematical Problems in Engineering

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To reduce the influence of unknown disturbance on open-circuit fault diagnosis of inverters in the motor drive system, an open-circuit fault diagnosis method, which is based on extended state observer, is proposed for inverters. A mixed logic dynamic model of the inverters is established by analyzing the current flow path when the system works normally and there are open-circuit faults. A voltage extended state observer is designed for the mixed logic dynamic model. The open-circuit faults are detected according to the phase voltage residual between the observed voltage and the actual voltage. The position of the faulty switches is determined by querying the voltage residual information table. Finally, the simulation results show that the method can effectively reduce the influence of the unknown interference on the inverter faults diagnosis, improve the fault diagnosis rate, and verify the effectiveness and feasibility of the method.

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“…Intercontinental super-grid and integration of a large number of renewable energy sources to the conventional grid are the fruitful developments achieved through the promising technology of multi-terminal high voltage direct current (MT-HVDC) transmission systems [1][2][3]. Most of the renewable energy sources are located far from load centers, and therefore, the transfer of energy must be done effectively [4].…”

Section: Introductionmentioning

confidence: 99%

A Support Vector Machine Learning-Based Protection Technique for MT-HVDC Systems

Muzzammel

Raza

2020

Energies

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High voltage direct current (HVDC) transmission systems are suitable for power transfer to meet the increasing demands of bulk energy and encourage interconnected power systems to incorporate renewable energy sources without any fear of loss of synchronism, reliability, and efficiency. The main challenge associated with DC grid protection is the timely diagnosis of DC faults because of its rapid built up, resulting in failures of power electronic circuitries. Therefore, the demolition of HVDC systems is evaded by identification, classification, and location of DC faults within milliseconds (ms). In this research, the support vector machine (SVM)-based protection algorithm is developed so that DC faults could be identified, classified, and located in multi-terminal high voltage direct current (MT-HVDC) systems. A four-terminal HVDC system is developed in Matlab/Simulink for the analysis of DC voltages and currents. Pole to ground and pole to pole faults are applied at different locations and times. Principal component analysis (PCA) is used to extract reduced dimensional features. These features are employed for the training and testing of SVM. It is found from simulations that DC faults are identified, classified, and located within 0.15 ms, ensuring speedy DC grid protection. The realization and practicality of the proposed machine learning algorithm are demonstrated by analyzing more straightforward computations of standard deviation and normalization.

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Restricted Boltzmann Machines Based Fault Estimation in Multi Terminal HVDC Transmission System

Cited by 8 publications

References 80 publications

Fault Ride-Through (FRT) Behavior in VSC-HVDC as Key Enabler of Transmission Systems Using SCADA Viewer Software

Fault Ride-Through (FRT) Behavior in VSC-HVDC as Key Enabler of Transmission Systems Using SCADA Viewer Software

The Diagnostic Method for Open-Circuit Faults in Inverters Based on Extended State Observer

A Support Vector Machine Learning-Based Protection Technique for MT-HVDC Systems

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