Analysis of unbalanced load low-voltage electrical networks operating modes

Наумов, И. В.; Podyachikh, S V; Ivanov, D.; Tretyakov, A N; Бастрон, А В

doi:10.1051/e3sconf/202129502005

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…Therefore, ideally, this coefficient value should be 1. In fact, the power consumption actual modes in a low-voltage electrical network is always characterized by this value significant excess, which has been proven by numerous studies [23][24][25][26][27]. For this reason, it is considerable interest to determine the electrical energy actual losses in the in-house electrical network, as well as their ratio in the total electricity consumption volume.…”

Section: Methodsmentioning

confidence: 99%

“Green technologies” elements by the individual residential buildings internal electrical networks operation

Наумов

Podyachikh

Tretyakov

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The article discusses the research results on the internal electrical networks operation of two independent individual residential buildings with a 0.38 kV voltage three-phase electrical input energy. It is established that these electrical networks operation is characterized by a significant currents and voltages unbalance level, which leads to a quality standards violation and electrical energy additional losses increase. When using the computer program “ModulHous”, which algorithm is based on the developed calculation methods, the currents and voltages unbalance calculation was performed. With the use of the MATLAB graphics editor technology, the obtained changes visualization in the currents and voltages unbalance has been implemented. The obtained diagrams analysis made it possible to establish the unbalance power consumption level and its impact on the internal power supply efficiency of the individual residential buildings. A special balancing device is proposed that automatically minimizes unbalancing flows in the internal individual dwellings electrical network. The developed software made it possible to establish the using balancing devices efficiency to improve the quality and reduce electrical energy additional losses in the considered electric networks of individual residential buildings.

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Section: Methodsmentioning

confidence: 99%

“Green technologies” elements by the individual residential buildings internal electrical networks operation

Наумов

Podyachikh

Tretyakov

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…In this case, the quality of power deteriorates, and the probability of failure of household appliances and industrial plants increases. Some technologies [5,[21][22][23] proposed to solve the problem of voltage and current balancing in the distribution networks did not find wide practical application due to the complexity of their technical implementation. In particular, balancers with special transformers are practically not used in 0.4 kV networks, as they are the sources of technical electricity losses in networks, and they are rather expensive and complex engineering systems.…”

Section: Structure and Tasks Of Conventional Asemmsmentioning

confidence: 99%

Development Issues of Systems for Automation and Digitalization of Power Distribution Networks

Omorov

Takyrbashev

Zakiriaev

et al. 2022

Energy Systems Research

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This paper studies 0.4 kV power distribution networks (PDNs) and automated systems for electricity monitoring and metering (ASEMM). As is known, a main task of ASEMMs is to digitalize PDNs, which is aimed at improving the efficiency and reliability of their operation. It is advisable that new models, methods, and intelligent technologies used for automation and informatization of distribution networks should also be focused on minimizing their power losses, which are currently fairly high and significantly compromise the technical and economic performance of automation systems employed and PDNs. Modern (conventional) ASEMMs, implemented at the facilities of utilities, do not have the appropriate technical, algorithmic, and software tools to reduce power losses in the PDN. This is due to the fact that conventional ASEMMs mainly collect remote data from the system meters and ensure their digital processing for the purpose of revenue metering of electricity. In this regard, the paper proposes methodological, algorithmic, and digital technologies to accomplish a set of new functional tasks in the conventional ASEMMs, aimed at reducing power losses in PDNs by optimizing their operating conditions.

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“…Based on the algorithm built, the hardware system has the function to identify the unbalanced phase and can calculate the line loss on line. One way to improve the quality of electric power is to improve the load imbalance in a three-phase system, in order to improve service quality and reliability [4].…”

Section: Introductionmentioning

confidence: 99%

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

Nojeng,

Jaya,

Murniati

2023

ijeeic

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This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.

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Analysis of unbalanced load low-voltage electrical networks operating modes

Cited by 5 publications

References 2 publications

“Green technologies” elements by the individual residential buildings internal electrical networks operation

“Green technologies” elements by the individual residential buildings internal electrical networks operation

Development Issues of Systems for Automation and Digitalization of Power Distribution Networks

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

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