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Retracted: Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm 撤回:基于中性模糊关联规则生成的大数据挖掘分析算法
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9797348
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Cognitive Feature Extraction of Puns Code-Switching Based on Neural Network Optimization Algorithm 撤回:基于神经网络优化算法的双关语代码转换认知特征提取
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9820601
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Research on Data News Propagation Path Based on the Big Data Algorithm 撤稿:基于大数据算法的数据新闻传播路径研究
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9895371
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Intelligent Edge Computing Detection Vehicle and Detection Method Based on Tunnel Lining Concrete 撤回:基于隧道衬砌混凝土的智能边缘计算检测车和检测方法
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9793812
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Optimized Design for Reliability of Pointer Irrigation Machine Components for Intelligent Computing 撤回:针对智能计算的指针式灌溉机部件可靠性的优化设计
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9825614
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Multimodal Opera Performance Form Based on Human-Computer Interaction Technology 撤回:基于人机交互技术的多模态戏曲表演形式
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9797863
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Model and Simulation of Engineering Safety Risk Control Based on Artificial Intelligence Algorithm 撤回:基于人工智能算法的工程安全风险控制模型与仿真
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9826430
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Analysis on the Particularity of Higher Education Subject Development under the Background of Artificial Intelligence 撤回:人工智能背景下高等教育学科发展的特殊性分析
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9759271
International Transactions on Electrical Energy Systems
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引用次数: 0
Retracted: Corporate Environmental Governance Performance Evaluation and Index System Construction under the Mobile Communication System 撤回:移动通信系统下的企业环境治理绩效评价与指标体系构建
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-13 DOI: 10.1155/2023/9767435
International Transactions on Electrical Energy Systems
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引用次数: 0
Comparative Analysis of Energy Storage Technologies for Microgrids 微电网储能技术比较分析
IF 2.3 4区 工程技术 Q1 Mathematics Pub Date : 2023-12-12 DOI: 10.1155/2023/6679740
Mohamed Haikel Chehab, Chokri Ben Salah, Ruben Zieba Falama, Mehdi Tlija, Abdelhamid Rabhi
Nowadays, microgrids (MGs) are receiving a lot of attention. In an economical MG, the battery energy storage system (BESS) plays an important role. One of the biggest challenges in MGs is the optimal choice of the BESS that can lead to better performance of the MG, which will be more flexible, efficient, and effective than traditional power systems. In this paper, we present the modeling and simulation of different energy storage systems including Li-ion, lead-acid, nickel cadmium (Ni-Cd), nickel-metal hybrid (Ni-Mh), and supercapacitor (SC), for renewable energy applications, and more specifically for MGs. The results of simulation show that Li-ion batteries have a better response time than lead-acid batteries, Ni-Cd batteries, and Ni-Mh batteries and thus are more suitable for combination with supercapacitors. Li-ion batteries are the best option for fast-charging applications in MGs. The discharge phase ends with SOC ≤ ±94%, SOC ≤ ±95%, SOC = 95%, SOC < 95%, and SOC < 60%, respectively, for Li-ion, lead-acid, Ni-Cd, Ni-Mh, and supercapacitor. Moreover, the use of the battery management system (BMS) can significantly improve the performance of BESS, leading to higher levels of SOC and longer life span. The obtained results have shown that with an optimization algorithm for energy storage systems, more specifically for the battery-charging mode, the response time of BESSs can be further improved. The effect of ambient temperature has also been investigated on the functional capacities of the batteries. The obtained results demonstrated that extreme temperatures (80°C to −80°C) have a significant impact on battery performance and capacity, especially for Li-ion batteries, with a drop in capacity of up to 50% at −40°C. This highlights the importance of considering the ambient temperature in the design and operation of MGs. Overall, our study provides valuable insights into the optimal selection of BESS and the impact of ambient temperature on their performance, which can help in the development of more efficient and reliable MGs.
如今,微电网(MGs)正受到广泛关注。在经济型微电网中,电池储能系统(BESS)发挥着重要作用。微电网面临的最大挑战之一是如何优化 BESS 的选择,从而提高微电网的性能,使其比传统电力系统更加灵活、高效和有效。在本文中,我们介绍了不同储能系统的建模和仿真,包括锂离子、铅酸、镍镉(Ni-Cd)、镍金属混合(Ni-Mh)和超级电容器(SC)。模拟结果表明,锂离子电池的响应时间优于铅酸电池、镍镉电池和镍氢电池,因此更适合与超级电容器结合使用。锂离子电池是导航仪快速充电应用的最佳选择。锂离子电池、铅酸电池、镍镉电池、镍氢电池和超级电容器的放电阶段分别以 SOC ≤ ±94%、SOC ≤ ±95%、SOC = 95%、SOC < 95% 和 SOC < 60% 结束。此外,使用电池管理系统(BMS)可以显著提高 BESS 的性能,从而提高 SOC 水平并延长使用寿命。研究结果表明,利用储能系统优化算法,特别是针对电池充电模式的优化算法,可以进一步改善 BESS 的响应时间。此外,还研究了环境温度对电池功能容量的影响。研究结果表明,极端温度(80°C 至 -80°C)对电池性能和容量有显著影响,尤其是对锂离子电池,在 -40°C 时容量下降高达 50%。这凸显了在设计和运行微型发电机时考虑环境温度的重要性。总之,我们的研究为最佳选择 BESS 以及环境温度对其性能的影响提供了宝贵的见解,有助于开发更高效、更可靠的 MG。
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引用次数: 0
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International Transactions on Electrical Energy Systems
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