Efficient Energy Storage Systems Management in Power Plants with Artificial Intelligence and Price Control

Nadeem Sarfraz, Faisal Rehman, Hana Sharif, Salman Akram, Bilal Hassan Mughal, A. Ashfaq
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Abstract

The storage systems of energy can contribute a significant part in integration of the renewable energy resources in electrical systems. It is quite important to research methods and techniques that make power projects more profitable. In this paper managing techniques for energy efficiency are discussed along with the comprehensive study of linear programming and swarm optimization techniques. These techniques are also compared with various expert systems and current state-of-the-art E-Broker algorithms and a novel and efficient energy management technique has been purposed along with various results. Finally, this paper presents various analysis for sizing and management to enhancement profit factor of power plants.
基于人工智能和价格控制的电厂高效储能系统管理
能源存储系统在电力系统中可再生能源的集成中起着重要的作用。研究使电力项目更有利可图的方法和技术是十分重要的。本文在综合研究线性规划和群优化技术的基础上,讨论了能源效率管理技术。这些技术还与各种专家系统和当前最先进的E-Broker算法进行了比较,并提出了一种新颖有效的能源管理技术,并取得了各种结果。最后,对电厂的规模和管理进行了各种分析,以提高电厂的利润系数。
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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