ISA transactions最新文献_第2页

EV and PV penetration impact on grid with conservative voltage regulation and reactive voltage compensation.

ISA transactions Pub Date : 2025-01-09 DOI: 10.1016/j.isatra.2025.01.004

Navinesshani Permal, Farrukh Nagi, Marayati Marsadek, Agileswari K Ramasamy, Navaamsini Boopalan, Ganesh Kumar A L Balakrishna

{"title":"EV and PV penetration impact on grid with conservative voltage regulation and reactive voltage compensation.","authors":"Navinesshani Permal, Farrukh Nagi, Marayati Marsadek, Agileswari K Ramasamy, Navaamsini Boopalan, Ganesh Kumar A L Balakrishna","doi":"10.1016/j.isatra.2025.01.004","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.01.004","url":null,"abstract":"As global interest grows in renewable energy sources, the impact of combined Electric Vehicle (EV) and PhotoVoltaic (PV) penetration on the power grid stability requires renewed attention, to incorporate new technologies to maintain the power quality under operational constraints. Energy-saving techniques such as Conservation Voltage Reduction (CVR) allow the power utilities to transmit voltage at a lower operation limit, increasing the generation margin to absorb the peak load demands. Increased reverse PV penetration results in grid overvoltage while EV charging absorbs the reactive power causing grid instability. Both overvoltage and loss of reactive power in the grid can be reduced by using CVR and reactive power injection techniques. A power electronic secondary var controller (SVC) can dynamically inject reactive power into selected grid buses. This work compares the voltage stability of an IEEE 33 bus system operating with and without CVR. The simulation studies analyzed the effects of EV penetration level, and PV hosting capacity with SVC compensation paired with and without conservation voltage reduction technique. The analysis results demonstrate that tandem usage of CVR and SVC maintains the grid voltage under operational limits, meets load and EV demand, and increases power efficiency and PV penetration.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smooth braking control of excavator hydraulic load based on command reshaping. 基于命令重塑的挖掘机液压载荷平稳制动控制。

ISA transactions Pub Date : 2025-01-09 DOI: 10.1016/j.isatra.2025.01.006

Wenbo Fu, Wenjuan Lu, Haitao Liu, Xiaoming Yuan, Daxing Zeng

引用次数: 0

Global practical tracking control via output feedback for more general nonlinear systems. 基于输出反馈的全局实用跟踪控制适用于更一般的非线性系统。

ISA transactions Pub Date : 2025-01-09 DOI: 10.1016/j.isatra.2025.01.008

Pu Tian, Xuehua Yan, Yiping Liu, Tao Shen

引用次数: 0

System identification and fault reconstruction in solar plants via extended Kalman filter-based training of recurrent neural networks. 基于扩展卡尔曼滤波的递归神经网络的系统辨识与故障重建。

ISA transactions Pub Date : 2025-01-08 DOI: 10.1016/j.isatra.2025.01.002

Sara Ruiz-Moreno, Alberto Bemporad, Antonio Javier Gallego, Eduardo Fernández Camacho

引用次数: 0

An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia. 用于急性淋巴细胞白血病自动检测的高效深度学习系统。

ISA transactions Pub Date : 2025-01-08 DOI: 10.1016/j.isatra.2024.12.043

Pradeep Kumar Das, Sukadev Meher, Adyasha Rath, Ganapati Panda

{"title":"An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia.","authors":"Pradeep Kumar Das, Sukadev Meher, Adyasha Rath, Ganapati Panda","doi":"10.1016/j.isatra.2024.12.043","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.12.043","url":null,"abstract":"Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession. More importantly, the suggested weight factor and an optimal threshold value (which is experimentally selected) is responsible for maintaining a healthy balance between computational efficiency and classification performance. Hence, the benefits of inverted residual bottleneck structure, depthwise separable convolution, tunable hyperparameters, pointwise group convolution, and channel shuffling are integrated to improve the feature discrimination ability and make the proposed system faster and more accurate. The experimental results convey that the proposed framework outperforms others with the best detection performances. It achieves superior performance to its competitors with the best accuracy (99.07%), precision(98.00%), sensitivity (100%), specificity (98.31%), and F1 score (0.9899) in ALLIDB1 dataset. Similarly, it outperforms others with 98.46% accuracy, 98.46% precision, 98.46% specificity, 98.46% sensitivity, and 0.9846 F1 Score in ALLIDB2 dataset.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Fixed-time tracking control for large-scale nonlinear systems based on improved simplified optimized backstepping strategy. 基于改进简化优化反演策略的大型非线性系统自适应固定时间跟踪控制。

ISA transactions Pub Date : 2025-01-08 DOI: 10.1016/j.isatra.2024.12.050

Yushan Cen, Liang Cao, Hongru Ren, Yingnan Pan

引用次数: 0

Dynamic event-triggered tolerant containment control protocol for discrete multiagent systems based on finite index policy iteration algorithm. 基于有限索引策略迭代算法的离散多智能体系统动态事件触发容错控制协议。

ISA transactions Pub Date : 2025-01-06 DOI: 10.1016/j.isatra.2024.12.044

Shuya Yan, Xiaocong Li, Huaming Qian, Abdullah Al Mamun

引用次数: 0

Optimal robust constraint following control design and experimental validation for fuzzy robotic manipulator system. 模糊机械臂系统的最优鲁棒约束跟随控制设计与实验验证。

ISA transactions Pub Date : 2025-01-06 DOI: 10.1016/j.isatra.2024.12.041

Hao Sun, Xin Wang, Luchuan Tu, MianHao Wang, Ke Shao

引用次数: 0

Real-time isolation of physiological tremor using recursive singular spectrum analysis and random vector functional link for surgical robotics. 基于递归奇异谱分析和随机矢量功能链接的外科机器人生理性震颤实时隔离。

ISA transactions Pub Date : 2025-01-04 DOI: 10.1016/j.isatra.2024.12.040

Asad Rasheed, Jeonghong Kim, Wei Tech Ang, Kalyana C Veluvolu

{"title":"Real-time isolation of physiological tremor using recursive singular spectrum analysis and random vector functional link for surgical robotics.","authors":"Asad Rasheed, Jeonghong Kim, Wei Tech Ang, Kalyana C Veluvolu","doi":"10.1016/j.isatra.2024.12.040","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.12.040","url":null,"abstract":"Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor in real time. Current tremor filtering algorithms in these instruments often employ nonlinear phase prefilters to isolate the tremor signal. However, these filters introduce phase distortion in the filtered tremor, compromising accuracy. Although improved variants of recursive singular spectrum analysis (RSSA) have addressed the issue of phase distortion, they still face challenges such as reduced generalization performance, large sample delays, and longer computational times. To address these issues, we integrate an accurate and fast random vector functional link (RVFL) with RSSA, referred to as RSSA-RVFL. The proposed approach consists of two main steps: estimation using RSSA and prediction with RVFL. Additionally, we introduce two moving window variants of RSSA-RVFL for real-time implementation. These variants significantly reduce computational costs while delivering the same performance. Experimental results on real tremor data show that our proposed approach achieves an average accuracy of 79.03%, surpassing the benchmark of 70.40%, with a nine-sample delay.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143019081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-triggered hybrid stubborn ESO for networked systems with uncertain disturbances and stochastic deception attacks. 具有不确定干扰和随机欺骗攻击的网络系统的事件触发混合顽固ESO。

ISA transactions Pub Date : 2025-01-03 DOI: 10.1016/j.isatra.2024.12.042

Yang Yu, Zhongliang Jing, Yuan Yuan

{"title":"Event-triggered hybrid stubborn ESO for networked systems with uncertain disturbances and stochastic deception attacks.","authors":"Yang Yu, Zhongliang Jing, Yuan Yuan","doi":"10.1016/j.isatra.2024.12.042","DOIUrl":"https://doi.org/10.1016/j.isatra.2024.12.042","url":null,"abstract":"In this paper, the state estimation problem is investigated for a general class of nonlinear networked systems subject to both external disturbances and stochastic deception attacks. In the presence of deception attacks, a novel hybrid stubborn extended state observer (ESO) is established to estimate the states and total disturbances, simultaneously. In addition, the event-triggered mechanism (ETM) is introduced utilizing the estimation errors to relieve the burden of the transmission networks. Then, an inter-trigger output predictor is adopted based on the estimation state of the hybrid stubborn ESO to predict the information between two consecutive triggering moments. To overcome the disadvantage of the outliers induced by the deception attack, the saturation nonlinearity is adopted as the gain function of the hybrid stubborn ESO. Sufficient conditions are established to ensure that the estimation error dynamics is locally mean-square bounded in a domain of attraction, and then an iterative linear matrix inequality (ILMI) approach is employed to design the desired hybrid stubborn ESO. Moreover, the Zeno behavior can be avoided when the designed ETM is utilized. Some numerical simulations are conducted to demonstrate the validity of the proposed methodology.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0