Energetics Systems and artificial intelligence: Applications of industry 4.0

Ahmad, Tanveer; Zhu, Hongyu; Zhang, Dongdong; Tariq, Rasikh; Bassam, A.; Ullah, Fasee; AlGhamdi, Ahmed Saeed; Alshamrani, Sultan S.

doi:10.1016/j.egyr.2021.11.256

Cited by 178 publications

(69 citation statements)

References 196 publications

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“…В связи с особенностями как электроэнергетической системы (например, передача электроэнергии посредством воздушных линий электропередачи (ВЛЭП)), так и климатических и территориальных условий такой страны как Россия [8-10], вопросы разработки системы, гарантирующей бесперебойное электроснабжение, остаются актуальными до сих пор [11][12][13][14]. Статистические данные по аварийности в электроэнергетической системе [15,16] ясно демонстрируют, что, несмотря на научно-технический прогресс во многих отраслях промышленности, подверженность состояния процесса передачи электроэнергии различным факторам не решена [17,18]. Безусловно, среди всего комплекса факторов, значительнее остальных оказывающих влияние на количество и продолжительность перебоев в электроснабжении отдельной группой выделяются гидрометеорологические факторы [19][20][21], из которых можно назвать температуру окружающей среды, влажность, скорость ветра и т.д.…”

Section: Information Science Computing Devices and Controlingunclassified

Synthesis of the Electric Power Supply Safety Ensuring System of a Region

Burlov¹,

Polyukhovich²

2022

XCROTPACOTPP

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Due to the increase in the energy intensity of almost all spheres of human activity, the issue of ensuring the safety of electricity supply is becoming more and more paramount. The main feature of the transmission of electricity in the conditions of the Russian Federation is a significant distance from its source to the end consumer. Throughout the entire section of the transmission line, the elements of the electric power network are affected by a huge number of factors that are completely heterogeneous in nature, among which hydrometeorological factors stand out, which are especially significant due to the territorial location and size of Russia. It becomes obvious that it is necessary to develop a system that allows you to respond in a timely manner to electric power failure threats and eliminate them. Among the known systems engineering methods, the most suitable for these purposes is the synthesis-based approach, the main advantage of which is the ability to initially set the required system performance indicator, which, under conditions of uncertainty, will allow achieving the required activity goal. In the course of the study, a synthesis of the electric power supply safety ensuring system of a region (EPSSESR) was carried out on the basis of a system-forming factor -a model of human de- Исследование выполнено при финансовой поддержке РФФИ в рамках научного проекта № 20-38-90225.

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Section: Information Science Computing Devices and Controlingunclassified

Synthesis of the Electric Power Supply Safety Ensuring System of a Region

Burlov¹,

Polyukhovich²

2022

XCROTPACOTPP

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“…For this purpose, technological development plays a significant role. New improvements have a powerful contribution to the cost minimization [14]. In addition to the technological development, government supports to the RWG investors have also positive influence on this situation [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Yüksel

Dınçer

et al. 2022

IEEE Access

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Energy costs are the key factors regarding the selection of appropriate renewable energy (RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance, and repair are considered in the scope of levelized costs. Therefore, for the effective determination of the selling price of the energy, levelized cost has a guiding role. Because the levelized costs of RWG alternatives develop the sustainable production and energy consumption for the long term, the leading indicators of these costs should be analyzed significantly. Accordingly, in this study, it is aimed to investigate the levelized cost of RWG alternatives by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty of this study is to recommend an integrated decision-making model based on bipolar and q-ROFSs with golden cut. At the first stage, bipolar q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) is employed for weighting the selected criteria of levelized costs of RWG alternatives. At the following stage, bipolar q-ROF technique for order preference by similarity to ideal solution (TOPSIS) is considered to rank the alternatives in terms of the levelized cost performance. On the other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) model is also considered to rank the alternatives. In addition to this issue, the sensitivity analysis is also performed with four cases comparatively. Hence, consistency, reliability and coherency of the proposed model can be measured. It is identified that capacity loss has the greatest importance regarding the levelized cost of RWG projects. Solar is found as the best clean energy type with respect to the levelized cost management performance. In this context, it would be appropriate for investors to design projects close to the center. This will contribute to increasing the efficiency and productivity of these projects.

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“…Ultimately, AI in the age of Industry 4.0 can help renewable energy operators provide customers (including households and industries) with affordable and reliable electricity from complex energy systems while also accelerating the transition to sustainability. 4 …”

Section: Main Textmentioning

confidence: 99%