The indicators system for the short circuit currents levels assessment in the power systems

Eroshenko, Stanislav A.; Egorov, Alexander; Zagidullin, Mihail R.; Senyuk, Mihail D.

doi:10.1109/elma.2017.7955419

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…It is necessary to consider short circuit analysis in many phases from energy production to consumption. In order to make these analyses, the following Figure 9 shows the connection types and the final equations of the short circuit types [28].…”

Section: E Short Circuit Analysismentioning

confidence: 99%

Short Circuit Effects on HV Feeders of Optimally Located Electric Vehicle Fast Charging Stations

Kaya,

Akar

2024

IEEE Access

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Today, there is a need to expand the network of fast charging stations to encourage the use of Electric Vehicles (EV). Fast charging stations are considered mobile loads, unlike conventional electric loads. This situation brings problems in electrical distribution systems. In addition, there will be problems caused by short circuits that occur for any reason in the networks to which EVs are connected. Considering the concerns about what these problems may be and how they may be reflected in the network, it is inevitable to examine the optimal positioning of the EV on the distribution network and its possible short-circuit effects. In this study, in the Istanbul/Vanikoy pilot region, HV/LV distribution feeders and substations in the region were selected using the distribution company infrastructure. An algorithm was created using multiple location data to determine the optimal locations of one-phase and three-phase Electric Vehicle Fast Charging Stations (EVFCS) on the distribution network. Simulation of short circuit types of the system was carried out using real-time technical data such as location data of distribution transformers, power data, load density, number and length of feeders, system protection, and control element data, based on optimal locations. The effects of short circuit types on the electricity distribution network, depending on the load density of residences, other structures, and optimally located urban EVFCS, connected to the distribution transformer feeders, were analyzed.

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Section: E Short Circuit Analysismentioning

confidence: 99%

Short Circuit Effects on HV Feeders of Optimally Located Electric Vehicle Fast Charging Stations

Kaya,

Akar

2024

IEEE Access

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“…The evaluation of the proposed model's performance involved the use of a confusion matrix, which represented arcing and non-arcing scenarios as 0 and 1, respectively. The matrix utilized indices provided in Equations (10)(11)(12)(13)(14) to assess the model's reliability, dependability, sensitivity, categorization, and F1-measure. Precision was defined as the percentage of identified samples that were relevant, whereas recall measured the proportion of relevant samples correctly identified out of all relevant samples.…”

Section: ) Time Domain Analysismentioning

confidence: 99%

“…are just a few of the problems that can result from these kinds of breakdowns. Insulation failure [9], short circuits [10], and overloads [11]. are examples of the kinds of problems that can lead to electrical failures ,These types of failures can lead to issues such as arcing [12]- [14], corona [15], [16], and Tracking [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model

Alsumaidaee,

Paw,

Yaw

et al. 2023

IEEE Access

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Medium voltage (MV) switchgear is a vital part of modern power systems, responsible for regulating the flow of electrical power and ensuring the safety of equipment and personnel. However, switchgear can experience various types of faults that can compromise its reliability and safety. Common faults in switchgear include arcing, tracking, corona, normal cases, and mechanical faults. Accurate detection of these faults is essential for maintaining the safety of MV switchgear. In this paper, we propose a novel approach for fault detection using a hybrid model (1D-CNN-LSTM) in both the time domain (TD) and frequency domain (FD). The proposed approach involves gathering a dataset of switchgear operation data and pre-processing it to prepare it for training. The hybrid model is then trained on this dataset, and its performance is evaluated in the testing phase. The results of the testing phase demonstrate the effectiveness of the hybrid model in detecting faults. The model achieved 100% accuracy in both the time and frequency domains for classifying faults in Switchgear, including tracking, normal cases, and mechanical faults. Additionally, the model achieved 98.4% accuracy in detecting corona faults in the TD. The hybrid model proposed in this study provides an effective and efficient approach for fault detection in MV switchgear. By learning spatial and temporal features simultaneously, this model can accurately classify faults in both the TD and FD. This approach has significant potential to improve the safety of MV switchgear as well as other industrial applications.

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“…Particular features and challenges of the power grid in the Sakha Republic (Yakutia) include: lack of capacity of 35-220 kV electrical networks; mismatch between equipment rupturing capacity and the calculated shortcircuit currents; non-compliance of relay protection and emergency automatics to the requirements of the existing regulations; non-compliance of the actual operating conditions of the equipment to the requirements of the existing regulations; problems in the energy supply to the consumers of the decentralized zone [14][15][16].…”

Section: Energy-saving Challengesmentioning

confidence: 99%

Energy conservation challenges and potential in Russia’s North-East region

et al. 2020

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The paper discusses challenges and a potential of fuel and energy savings in one of the republics of the North-Eastern region of the Russian Federation. The authors show the challenges of energyand heatsaving, with due account too particular features of Sakha Republic (Yakutia), which include: inconsistency of the actual operating conditions of the equipment with the requirements of regulatory documents in force; problems in supplying the consumers in the decentralized zone. The region’s goals in the segment of energy saving are determined. A detailed assessment of energy-saving potential in the electricity, thermal and fuel saving sectors is carried out. Energy saving is achieved mainly by reducing the losses in general-purpose utility networks, when switching to energy-saving lighting devices, as well as by reducing electricity consumption rate for water pumping, supply and sewage disposal. Heat energy savings can primarily be achieved only by reducing losses in heating services’ networks. Considerable fuel savings can be obtained by reducing the fuel consumption rate in boiler houses and diesel-run power plants. The results show high potential for energy savings in the region. Energyand fuel-intensive activities alone could save the estimated 1 million TOE every year.

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The indicators system for the short circuit currents levels assessment in the power systems

Cited by 9 publications

References 4 publications

Short Circuit Effects on HV Feeders of Optimally Located Electric Vehicle Fast Charging Stations

Short Circuit Effects on HV Feeders of Optimally Located Electric Vehicle Fast Charging Stations

Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model

Energy conservation challenges and potential in Russia’s North-East region

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