A Control-Based Solution for Distance Protection of Lines Connected to Converter-Interfaced Sources During Asymmetrical Faults

Banaiemoqadam, Amin; Hooshyar, Ali; Azzouz, Maher A.

doi:10.1109/tpwrd.2019.2946757

Cited by 69 publications

(35 citation statements)

References 13 publications

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“…AHP is a subjective evaluation method that focuses on the subjective experience of decision-makers and the characteristics of the problem under investigation. Compared with the AHP [39], the IAHP [40] and SLIAHP method comprehensively considers the ambiguity and uncertainty of the problem under investigation, giving the evaluation system better compatibility. Figure 12 shows that the weights obtained by the AHP and SLIAHP method are all within the weight interval obtained by the IAHP method.…”

Section: ) Comparison Of the Ahp Iahp And Sliahp Methodsmentioning

confidence: 99%

“…Based on the power supply requirements of the power system, the control accuracy and effect of the HVDC protection system are quantified in Section III.D. Its key indicators are introduced in the following subsections: The protection correct operation rate D1 reflects the veracity of HVDC protection system [39], which is expressed as:…”

Section: Control Efficiencymentioning

confidence: 99%

“…The protection mal-operation rate D2 describes the sensitivity and veracity of the HVDC protection system [39], which is defined as:…”

Section: ) Protection Mal-operation Rate D2mentioning

confidence: 99%

“…The commutation success rate D7 is an indicator of the operating performance of converter stations, which indirectly reflects the control effectiveness of the HVDC protection system [39]. The commutation success rate D7 can be expressed as:…”

Section: ) Commutation Success Rate D7mentioning

confidence: 99%

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An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

Zhu

et al. 2020

IEEE Access

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High voltage direct current (HVDC) is expected to bring forth large capacity, long transmission distance, and asynchronous grid interconnection. To quantitatively analyze the protection systems of HVDC, an evaluation system is proposed with a novel indicator framework and an innovative weighting method for the assessment of HVDC operating status. The novel indicator framework includes 31 indicators from the perspectives of reliability, fault monitoring, operational maintenance, control efficiency, and system redundancy. A self-learning interval analytic hierarchical process is used to decide the weights of the indicators based on the maximum entropy method. The optimal subjective weights of the indicators can be obtained by the self-learning process, considering not only the fuzziness of single expert scoring but also the difference between experts' weights. A real HVDC project in Hubei province, China, was studied to verify the effectiveness of the proposed evaluation system. INDEX TERMS High voltage direct current, self-learning, evaluation system, interval analytic hierarchy process.

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Section: ) Comparison Of the Ahp Iahp And Sliahp Methodsmentioning

confidence: 99%

Section: Control Efficiencymentioning

confidence: 99%

“…The protection mal-operation rate D2 describes the sensitivity and veracity of the HVDC protection system [39], which is defined as:…”

Section: ) Protection Mal-operation Rate D2mentioning

confidence: 99%

Section: ) Commutation Success Rate D7mentioning

confidence: 99%

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An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

Zhu

et al. 2020

IEEE Access

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“…The solar-based CIRP is controlled in synchronous reference frame, which regulates the fault current along with the filter of the converter, as shown in Fig. 2 [27]. The grid side and converter side voltages are denoted by V grid and V inv , respectively.…”

Section: System Descriptionmentioning

confidence: 99%

Adaptive Fault Type Classification for Transmission Network Connecting Converter-Interfaced Renewable Plants

Paladhi

Pradhan

2021

IEEE Systems Journal

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Fault ride through compliance as imposed by the grid codes (GCs) prevents the inadvertent disconnection of the renewable plants from the network even during faults. Control algorithms applied in the converters associated with such plants modulate the fault characteristics significantly and result in malfunction of available fault type classifiers at times. In this article, an adaptive fault type classification technique is proposed for transmission network connecting converter-interfaced renewable plants. The method calculates sequence current angles in the faulted loop by determining pure-fault impedance of the plant at every instant during fault using local voltage and current data for fault type identification. The proposed method is tested for different fault situations on renewable integrated standard systems using PSCAD/EMTDC. The performance of the proposed method is found to be accurate in the presence of different types of renewable plants and complying different GC requirements. Comparative assessment reveals its superior performance.

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A Case Study-Based Review of the Impacts of Inverter-Interfaced Wind Power Plants on Distance Protections

Davi

Oleskovicz

Lopes

et al. 2023

J Control Autom Electr Syst

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A Control-Based Solution for Distance Protection of Lines Connected to Converter-Interfaced Sources During Asymmetrical Faults

Cited by 69 publications

References 13 publications

An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method

Adaptive Fault Type Classification for Transmission Network Connecting Converter-Interfaced Renewable Plants

A Case Study-Based Review of the Impacts of Inverter-Interfaced Wind Power Plants on Distance Protections

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