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Optimal directional overcurrent relay coordination based on computational intelligence technique: a review 基于计算智能技术的最优定向过流继电器协调研究进展
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-05-31 DOI: 10.3906/ELK-2012-98
S. Ramli, M. Usama, H. Mokhlis, W. Wong, Muhamad Hatta Hussain, M. Muhammad, Nurulafiqah Nadzirah Binti Mansor
An exponential increase in diverse load demand in the last decade has influenced the integration of more power plants into the power system. This increases the fault current due to the bidirectional flow of current, resulting in unwanted tripping of the relays if not properly coordinated. Therefore, it is imperative to ensure the installation of relays in the grid being able to sense the fault current from any direction (i.e. upstream or downstream). This can be accomplished by introducing an optimal directional overcurrent relay (DOCR) coordination scheme into the system. This paper presents an in-depth review of the applications of various optimization techniques for optimal coordination of directional overcurrent relays (DOCRs) in integrated power networks. The review highlights the advantages and limitations of techniques implemented to mitigate the DOCR coordination issues. Furthermore, potential research directions for optimal DOCR coordination are also discussed in this paper.
在过去十年中,各种负荷需求呈指数级增长,这影响了更多发电厂加入电力系统。这增加了故障电流由于电流的双向流动,导致不必要的跳闸继电器,如果没有适当的协调。因此,必须确保电网中安装的继电器能够从任何方向(即上游或下游)感知故障电流。这可以通过在系统中引入最佳定向过流继电器(DOCR)协调方案来实现。本文综述了各种优化技术在综合电网中定向过流继电器优化协调中的应用。这篇综述强调了用于缓解DOCR协调问题的技术的优点和局限性。最后,对优化DOCR协调的潜在研究方向进行了探讨。
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引用次数: 3
Adaptive Output Tracking of Distributed Parameter Systems 分布参数系统的自适应输出跟踪
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2104-157
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引用次数: 0
A new similarity-based multi-criteria recommendation algorithm based on autoencoders 一种新的基于自编码器的相似度多准则推荐算法
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2107-145
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引用次数: 0
DEFECT CLASSIFICATION OF RAILWAY FASTENERS USING IMAGE PREPROCESSING AND A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK 基于图像预处理和轻量级卷积神经网络的铁路紧固件缺陷分类
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2106-42
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引用次数: 0
New fail operational powernet methods and topologies for automated driving with electric vehicle 电动汽车自动驾驶的新型故障运行动力网络方法和拓扑
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2005-14
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引用次数: 2
Robust Position/Force Control of Nonholonomic Mobile Manipulator for Constrained Motion on Surface in Task Space 任务空间表面约束下非完整移动机械臂的鲁棒位置/力控制
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2106-134
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引用次数: 0
Sentiment Classification using Attention based Gated-CNN with Deep Recurrent Neural Model 基于深度递归神经模型的关注门控cnn情感分类
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-1909-58
S. Rahman, Ashmita Riya, S. Haque
Sentiment analysis received a lot of attention recently due to its potential use in business intelligence. 4 Understanding variable length sentences to extract the sentimental context is the main challenge of this concept. Our 5 proposed models are moderations of a deep neural model named comprehensive attention recurrent model [5]. A new 6 layer of attention mechanism and replacement of LSTM with gated-CNN have been introduced to make learning of CA 7 model [5] faster and efficient. IMDB movie review sentiment-labelled dataset has been used in our experiments. Our 8 paper solely focuses on the comparison of performances among proposed and inspired models. Experimental results 9 imply that accuracy and precision of our proposed models are better compared to the state-of-the-art CA model. 10
由于情感分析在商业智能中的潜在应用,它最近受到了很多关注。理解可变长度的句子以提取情感语境是这个概念的主要挑战。我们提出的5个模型是深度神经模型综合注意循环模型[5]的调节。引入了一种新的6层注意机制,并将LSTM替换为gate - cnn,使ca7模型[5]的学习更快、更高效。在我们的实验中使用了IMDB电影评论情感标记数据集。我们的论文只关注于提出模型和启发模型之间的性能比较。实验结果9表明,与目前最先进的CA模型相比,我们提出的模型的准确性和精度都更好。10
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引用次数: 0
Determining allowable parametric uncertainty in an uncommon quadrotor model for closed loop stability 确定一种不常见的四旋翼闭环稳定模型的允许参数不确定性
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2105-142
M. Baskin, Mehmet Kemal Lebleb, Lu
Version: 21.03.2022 Abstract: In this article, control oriented uncertainty modeling of an uncommon quadrotor in hover is discussed. This quadrotor consists of two counter-rotating big rotors on longitudinal axis and two counter-rotating small tilt rotors on lateral axis. Firstly, approximate linear model of this vehicle around hover is obtained by using Newton–Euler formulation. Secondly, specific uncertainty is assigned to each parameter. Resulting uncertain model is converted into a linear fractional transformation framework for robustness analysis. Next, the most critical uncertain parameters in terms of robust stability in a proposed quadrotor model are investigated using µ sensitivities. Finally, skewed- µ analysis determines maximum possible uncertainty bounds for model parameters that are difficult to
摘要:本文讨论了一种罕见的悬停四旋翼飞行器面向控制的不确定性建模问题。该四旋翼由纵向上两个反向旋转的大旋翼和横向上两个反向旋转的小倾斜旋翼组成。首先,利用牛顿-欧拉公式建立了该飞行器悬停时的近似线性模型。其次,为每个参数分配特定的不确定度。将得到的不确定模型转化为线性分数变换框架进行鲁棒性分析。接下来,在提出的四旋翼模型鲁棒稳定性方面的最关键的不确定参数使用微灵敏度进行了研究。最后,偏斜分析确定了模型参数的最大可能不确定性界限
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引用次数: 0
TARA: Temperature Aware online dynamic Resource Allocation scheme for energy optimization in cloud data centres TARA:温度感知在线动态资源分配方案,用于云数据中心的能源优化
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-2108-163
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引用次数: 0
Analysis and design of symmetric lattice based wideband 2-bit digital phase shifter 基于对称晶格的宽带2位数字移相器的分析与设计
IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-01 DOI: 10.3906/elk-1905-99
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引用次数: 0
期刊
Turkish Journal of Electrical Engineering and Computer Sciences
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