A Hydroelectric Power Plant Brief: Classification and Application of Artificial Intelligence

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2023-05-23 DOI:10.1109/SACI58269.2023.10158597

G. Shahgholian, M. Moazzami, S. M. Zanjani, Amir H. Mosavi, Arman Fathollahi

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Abstract

Hydropower is a reliable, clean, and efficient alternative to conventional fossil fuels and other renewable energy sources. The hydro turbine is the core of a hydropower plant, and the proper maintenance and operation of all other components are essential for maximizing energy production. Besides electricity generation, hydropower plants play a critical role in storing irrigation and drinking water and controlling floods. This study presents a concise overview of hydroelectric power plant classification based on the output power generated by peak water drop and storage. Pumped storage water plants are the most applicable classification based on water conditions. The study reviews the application of Artificial Intelligence (AI) in various aspects of hydropower plants, highlighting the potential benefits and challenges of integrating AI technologies in the energy production process. This paper emphasizes the importance of proper maintenance and operation of hydropower plants and provides insights into AI’s potential role in optimizing energy production and improving plant efficiency.

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水力发电厂简介:人工智能的分类与应用

水电是传统化石燃料和其他可再生能源的可靠、清洁和高效的替代品。水轮机是水电厂的核心，所有其他部件的适当维护和运行对于最大限度地提高能源产量至关重要。除了发电，水电站在储存灌溉用水、饮用水和控制洪水方面也起着至关重要的作用。本文简要介绍了基于峰值落差和蓄水量输出功率的水电站分类方法。抽水蓄能水厂是基于水条件的最适用的分类。该研究回顾了人工智能(AI)在水电站各个方面的应用，强调了将人工智能技术整合到能源生产过程中的潜在好处和挑战。本文强调了水电站适当维护和运行的重要性，并提供了人工智能在优化能源生产和提高电厂效率方面的潜在作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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