AI-Enhanced Energy Management Systems for Efficient Flow Control in Microgrids

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS
Mohammed Amine Hoummadi, Badre Bossoufi, Mohammed Karim, Mohammed Hatatah, Thamer A. H. Alghamdi, Mohammed Alenezi
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Abstract

This paper has presented a new approach for investigating the potential to rationally use promising sustainable energy sources with highly developed energy management systems integrated into IoT and AI technologies. The empirical analysis was done through a Genetic Algorithm model in Python taken on a typical microgrid system that supplied power to 100 homes at an average of 47 kW. The simulation results show an enormous reduction of waste power in the order of 93%, but at a costlier overall in the microgrid, up by approximately 25%. These results act as strong proof that this integrated approach is technically feasible and economically feasible for the pursuit of efficiency and savings. This study goes further to consider the economic implications of the implementation and maintenance of EMS. It also considers cybersecurity as one of the critical challenges in interconnected microgrids that might influence operational integrity. The research further contributes significantly to knowledge on battery consumption loss and the factors that have to be addressed to avoid negative impacts on the overall system. This research considers a microgrid as a key building block in a flexible and resilient energy infrastructure; its approach covers more than just technical discussions but fosters a broader, transdisciplinary dialogue. In the future, smart EMS integrated with IoT and AI is foreseen to be necessary to enable microgrids to maintain a sustainable and reliable power supply in communities. In short, this article gives fresh guidelines for the development of energy systems that are bound to be not only more efficient but also stable enough to resist any challenge that may come from environmental dynamics. Finally, the article calls upon all researchers, policymakers, and other stakeholders to contribute their quota in shaping the future of energy systems of the 21st century in a way that can help make the energy landscape more sustainable and resilient.

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人工智能增强的微电网高效流控制能源管理系统
本文提出了一种新的方法来研究合理使用有前途的可持续能源的潜力,并将高度发达的能源管理系统集成到物联网和人工智能技术中。实证分析是通过Python中的遗传算法模型进行的,该模型采用了一个典型的微电网系统,该系统平均为100个家庭提供47千瓦的电力。模拟结果显示,大量减少了约93%的浪费电力,但微电网的总体成本更高,约为25%。这些结果有力地证明,在追求效率和节约方面,这种综合方法在技术上是可行的,在经济上也是可行的。本研究进一步考虑环境管理系统的实施和维护对经济的影响。它还将网络安全视为互联微电网可能影响运营完整性的关键挑战之一。该研究进一步有助于了解电池消耗损耗和必须解决的因素,以避免对整个系统产生负面影响。本研究认为微电网是灵活和有弹性的能源基础设施的关键组成部分;它的方法不仅涵盖了技术讨论,还促进了更广泛的跨学科对话。未来,与物联网和人工智能相结合的智能EMS预计将成为微电网在社区维持可持续和可靠电力供应的必要条件。简而言之,本文为能源系统的发展提供了新的指导方针,这些系统不仅要更高效,而且要足够稳定,以抵御可能来自环境动态的任何挑战。最后,本文呼吁所有研究人员、政策制定者和其他利益相关者在塑造21世纪能源系统的未来方面贡献自己的力量,以帮助使能源格局更具可持续性和弹性。
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来源期刊
IET Renewable Power Generation
IET Renewable Power Generation 工程技术-工程:电子与电气
CiteScore
6.80
自引率
11.50%
发文量
268
审稿时长
6.6 months
期刊介绍: IET Renewable Power Generation (RPG) brings together the topics of renewable energy technology, power generation and systems integration, with techno-economic issues. All renewable energy generation technologies are within the scope of the journal. Specific technology areas covered by the journal include: Wind power technology and systems Photovoltaics Solar thermal power generation Geothermal energy Fuel cells Wave power Marine current energy Biomass conversion and power generation What differentiates RPG from technology specific journals is a concern with power generation and how the characteristics of the different renewable sources affect electrical power conversion, including power electronic design, integration in to power systems, and techno-economic issues. Other technologies that have a direct role in sustainable power generation such as fuel cells and energy storage are also covered, as are system control approaches such as demand side management, which facilitate the integration of renewable sources into power systems, both large and small. The journal provides a forum for the presentation of new research, development and applications of renewable power generation. Demonstrations and experimentally based research are particularly valued, and modelling studies should as far as possible be validated so as to give confidence that the models are representative of real-world behavior. Research that explores issues where the characteristics of the renewable energy source and their control impact on the power conversion is welcome. Papers covering the wider areas of power system control and operation, including scheduling and protection that are central to the challenge of renewable power integration are particularly encouraged. The journal is technology focused covering design, demonstration, modelling and analysis, but papers covering techno-economic issues are also of interest. Papers presenting new modelling and theory are welcome but this must be relevant to real power systems and power generation. Most papers are expected to include significant novelty of approach or application that has general applicability, and where appropriate include experimental results. Critical reviews of relevant topics are also invited and these would be expected to be comprehensive and fully referenced. Current Special Issue. Call for papers: Power Quality and Protection in Renewable Energy Systems and Microgrids - https://digital-library.theiet.org/files/IET_RPG_CFP_PQPRESM.pdf Energy and Rail/Road Transportation Integrated Development - https://digital-library.theiet.org/files/IET_RPG_CFP_ERTID.pdf
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