Dependence of power supply systems reliability on the type of redundancy

Baburin, Sergey N.; Zyrin, V. O.; Kovalchuk, Margarita S.

doi:10.1088/1757-899x/643/1/012134

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…Foreign methods, as well as the method of ordered diagrams and the modified statistical method (Table 17), do not allow the effects from using a variable-frequency drive to be assessed, and all attempts to do this by adjusting the utilization factor failed [37,38]. Figure 12 shows the values of the average calculated loads defined by using various methods.…”

Section: Discussionmentioning

confidence: 99%

Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises

Ustinov¹,

Khomiakov²

2022

Electricity

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The calculation of electrical loads is the first and most significant stage in the design of the power supply system. It is essential to make the right choice when choosing the power electrical equipment: transformers, power lines, and switching devices. Underestimation or overestimation of the calculated values can lead to large losses and an increase in capital costs. Therefore, the reliability of the results plays a key role. The use of energy-saving technologies and energy-efficient electrical equipment leads to a change in the nature and level of power consumption, which must be taken into account when determining the electrical loads. The existing methods leave out dynamic characteristics of electrical load curves, so the calculated values are overestimated by up to 40%. This study shows a load calculation method with the normalized correlation functions and its parameters at the level of the individual and group electricity consumers. As a result, the difference between the calculated and experimental values does not exceed 5%.

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Section: Discussionmentioning

confidence: 99%

Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises

Ustinov¹,

Khomiakov²

2022

Electricity

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“…If such redundancy does not exist, the failure of a single (sub-)element will cause failure of the entire system ( Figure 9 a). In technical or information technology systems, a distinction is made between hot redundancy ( Figure 9 b) and cold redundancy ( Figure 9 c) [ 108 ].…”

Section: Resiliencementioning

confidence: 99%

“…In the case of a failure of one or more of these subsystems, the remaining elements take over the failed functionality ( Figure 9 b). This type of system can be found, for example, in computer networks whose processing power is provided by several sub-units or in the energy supply system of critical infrastructure or industrial plants [ 108 ]. However, hot redundancy can also be found in plants and their mechanical anchoring structures.…”

Section: Resiliencementioning

confidence: 99%

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Longevity of System Functions in Biology and Biomimetics: A Matter of Robustness and Resilience

Mylo

Speck

2023

Biomimetics

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Within the framework of a circular economy, we aim to efficiently use raw materials and reduce waste generation. In this context, the longevity of biomimetic material systems can significantly contribute by providing robustness and resilience of system functionality inspired by biological models. The aim of this review is to outline various principles that can lead to an increase in robustness (e.g., safety factor, gradients, reactions to environmental changes) and resilience (e.g., redundancy, self-repair) and to illustrate the principles with meaningful examples. The study focuses on plant material systems with a high potential for transfer to biomimetic applications and on existing biomimetic material systems. Our fundamental concept is based on the functionality of the entire system as a function of time. We use functionality as a dimensionless measure of robustness and resilience to quantify the system function, allowing comparison within biological material systems and biomimetic material systems, but also between them. Together with the enclosed glossary of key terms, the review provides a comprehensive toolbox for interdisciplinary teams. Thus, allowing teams to communicate unambiguously and to draw inspiration from plant models when developing biomimetic material systems with great longevity potential.

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Digital platform as a means of process optimization of integrating electric vehicles into electric power networks

Zhukovskiy

Suslikov

Arapova

et al. 2020

J. Phys.: Conf. Ser.

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In this paper, we consider the need to create an algorithmized digital platform for the development of electric charging networks of road transport and to optimize the load on the current power grid complex. In modern conditions, this platform can become an example of a mechanism for public-private partnerships and the development of environmentally friendly transport. The purpose of the platform is to provide users with up-to-date information about the state of the electric vehicle battery, reduce the cost of creating a network charging infrastructure for electric vehicle transport, automated resource accounting for power supply companies, and other services. The use of information technologies to combine the processes of economic relations in the field of energy sales services will attract funds for infrastructure development by increasing the load factor of generating capacities and unloading power centers. In the article, the authors propose a digital platform architecture using modern technologies such as IIoT, Vehicle to Grid (V2G), Machine learning, Big Data.

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Dependence of power supply systems reliability on the type of redundancy

Cited by 8 publications

References 5 publications

Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises

Determination of Dynamic Characteristics for Predicting Electrical Load Curves of Mining Enterprises

Longevity of System Functions in Biology and Biomimetics: A Matter of Robustness and Resilience

Digital platform as a means of process optimization of integrating electric vehicles into electric power networks

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