传统电力领域计算智能的范围与集成

Ayan Banik
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引用次数: 0

摘要

电力系统是一个由精密设备和联合控制组成的无限庞大的复杂网络,以确保可持续的能源供应。近十年来不断增长的电力需求使其难以维持生存。电力系统基础设施内部结构的快速变革是虚拟生命线延续的时代需要。随着时间的推移,电已经成为最重要的元素之一,几乎没有替代品。尖端的节能技术和现代一代计算工具可以触发其增长,最大限度地发挥其潜力,这可能会彻底改变电力行业的情况,并使其为未来做好准备。据预测,人工智能与数据科学的结合必将产生显著的结果,通过削减能源消耗、降低价格、提高透明度、提高效率和促进全球清洁绿色可再生能源,来整合和发展自动化,并向智能电网迈进。人工智能可以进一步改善电力系统的规划、运行和智能控制。数据密集型技术可以按照真实的路线图引入电力价值链的各个维度,这可能会大大减少传统挑战并创造巨大价值。在这项工作中,作者试图在印度的背景下研究、调查和探索电力系统的现状,并以系统、逻辑的方式总结未来的可能性、困难和具体结果。这项新颖的工作将使不同的研究人员和有活力的学者获得一个基本的想法,并加强他们对该学科的现有知识。关键词:能源,电力系统,人工智能,数据科学,云计算,自动化,管理
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scope and Integration of Computational Intelligence in Traditional Power Sector
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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