Optimization of electric power system modes by methods of artificial intelligence

Kokin, Sergey; Djagarov, Nikolay; Bumtsend, Uyangasaikhan; Ahyoev, Javod; Dmitriev, Stepan A.; Safaraliev, Murodbek

doi:10.1109/epe51172.2020.9269195

Cited by 3 publications

(1 citation statement)

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“…In 2018 L. Wencui et al has investigated a detailed case study on the Information Security Prevention System of electric grid based on AI tools [1]. S. Kokin et al has presented a fantastic Optimisation strategy of electrical power system modes by implementing artificial intelligence, which was a remarkable research outcome in 2020 [2]. A. Jalilvand et al, in the year 2010, has studied and explored the design of an energy-efficient PID power system stabiliser in a multi-machine power system using computational intelligence methods [3].…”

Section: Literature Surveymentioning

confidence: 99%

Scope and Integration of Computational Intelligence in Traditional Power Sector

Banik¹

2021

CIML

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An electrical power system is an infinite vast complex network of sophisticated equipment and confederate control to ensure a sustainable energy supply. Ever-increasing power demand in the recent decade has made it difficult to maintain its viability. A rapid transformation in the internal architecture of power system infrastructure is the need of the hour to continue the fictitious lifeline. With the passage of time, electricity has become one of the most crucial elements with almost no substitute. Cutting edge energy-efficient technologies and modern generation computational tools can trigger its growth to maximize its potential, which may entirely transform the power sector scenario and make it future-ready. It is predicted that the adoption of artificial intelligence mutually with data science must have a remarkable outcome to incorporate and develop automation and move towards a smart grid by slashing energy consumption, lowering prices, enhance transparency, gear up efficiency and boost clean green renewable sources globally. AI can further improve the planning, operation, and intelligent control of power systems. Data-intensive technologies can be introduced in diverse dimensions of the electricity value chain following an authentic road map which may considerably reduce the conventional challenges and create significant value. In this work, the authors have attempted to study, investigate, and explore the Power System's present outline in context to India and summarize future possibilities, difficulties, and specific outcome in a systematic, logical manner. This novel work shall benefit distinct researchers and dynamic academicians to get a fundamental idea and strengthen their existing knowledge over the subject. Keyword : Energy, power system, AI, data science, cloud computing, automation, management

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Section: Literature Surveymentioning

confidence: 99%