Power System Faults: A Hindrance to Sustainability and Reliability

Ajenikoko, Ganiyu Adedayo; Sangotola, Segun O.

doi:10.17950/ijer/v3s11/1116

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…Electrical faults can happen anywhere and anytime throughout the electric grid, impacting the power system as a whole and hindering the delivery of electricity to customers (Ajenikoko and Sangotola, 2014). In order to increase a system's sustainability and reliability, it's necessary to capture the real-time dynamics with high enough resolution to detect dynamic events such as faults.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection in Power Systems with Synchronized Phasor Measurements and Machine Learning

Lopes

Barreto

Aoki

2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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This paper proposes a solution for fault detection in power systems using machine learning algorithms, namely Random Forest and Support Vector Machines. A Phasor Measurment Unit (PMU) network is emulated in the IEEE 39-Bus New England Power System, and several fault types are simulated, including three-phase to ground, two-phase, two-phase to ground and single-phase to ground as well as line and load contingencies. The magnitude and phase of voltage and current, alongside with frequency, are measured from each PMU, and used as input to the machine learning models. Two scenarios were contemplated in this work, the first with a network of 14 PMUs, and the second with half that number, in order to verify the robustness of the aforementioned methods in relation to the number of PMUs present in the system. A Feature Importance analysis is also made, via Permutation Feature Importance, indicating which features contributed the most to the classification task at hand. Both algorithms reached a performance of around 93% accuracy and 0.94 F 1 -Score and the feature analysis method seems to be suitable for systemic visibility analysis. Future works are also discussed in this paper, briefly elaborating on the possibilities and immediate impacts of the addition of a feature engineering stage in this problem and on the application of the used algorithms on problems such as fault identification and location.

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Section: Introductionmentioning

confidence: 99%

Fault Detection in Power Systems with Synchronized Phasor Measurements and Machine Learning

Lopes

Barreto

Aoki

2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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“…The impedance causes the voltage of the ground electrode system to increase. The potential difference created by the excessive voltage increase might cause equipment damage and endanger the lives of humans and animals in the proximity of the grounded system [9]. Grounding designs and procedures under power frequencies are comprehensively described in many standards [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

Review of Substation Grounding System Behavior Under High Frequency and Transient Faults in Uniform Soil

et al. 2020

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Substations are important parts of electric power systems, and they require well-designed grounding systems. A proper grounding system guarantees the safety of the personnel working in an environment surrounded by grounded equipment from possible electric shock, protects the equipment against unnecessary breakdowns, and conserves the stability of the entire electrical system throughout its operation. Grounding systems developed under power frequency conditions generally react differently under high frequency and transient conditions, such as switching transients and lightning strikes. This work reviews the modeling methods for substation grounding systems and their performance when grounding design parameters change under high frequency and transient fault conditions.

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“…A three-phase symmetrical fault, otherwise called three phase balanced fault, is the most severe of all the types of faults. It affects the three phases equally [12][13]. This is in contrast to an unsymmetrical fault, where the three phases are not affected equally.…”

Section: Introductionmentioning

confidence: 99%

Transmission line short circuit analysis by impedance matrix method

Anyaka¹,

Ozioko²

2020

IJECE

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Fault analysis is the process of determining the magnitude of fault voltage and current during the occurrence of different types of fault in electrical power system. Transmission line fault analysis is usually done for both symmetrical and unsymmetrical faults. Symmetrical faults are called three-phase balance fault while unsymmetrical faults include: single line-to-ground, line-to-line, and double line-to-ground faults. In this research, bus impedance matrix method for fault analysis is presented. Bus impedance matrix approach has several advantages over Thevenin’s equivalent method and other conventional approaches. This is because the off-diagonal elements represent the transfer impedance of the power system network and helps in calculating the branch fault currents during a fault. Analytical and simulation approaches on a single line-to-ground fault on 3-bus power system network under bolted fault condition were used for the study. Both methods were compared and result showed negligible deviation of 0.02% on the average. The fault currents under bolted condition for the single line-to-ground fault were found to be 4. 7244p.u while the bus voltage is 0. 4095p.u for buses 1 and 2 respectively and 0. 00p.u for bus 3 since the fault occurred at this bus. Therefore, there is no need of burdensomely connecting the entire three sequence network during fault analysis in electrical power system.

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Power System Faults: A Hindrance to Sustainability and Reliability

Cited by 7 publications

References 17 publications

Fault Detection in Power Systems with Synchronized Phasor Measurements and Machine Learning

Fault Detection in Power Systems with Synchronized Phasor Measurements and Machine Learning

Review of Substation Grounding System Behavior Under High Frequency and Transient Faults in Uniform Soil

Transmission line short circuit analysis by impedance matrix method

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