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- Volume 16, Issue 5, 2023
Recent Advances in Electrical & Electronic Engineering - Volume 16, Issue 5, 2023
Volume 16, Issue 5, 2023
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Analysis of Sparse Signal Sequences under Compressive Sampling Techniques for Different Measurement Matrices
Authors: Deepak M. Devendrappa, Karthik Palani and Deepak N. AnanthIntroduction: A more modern, extremely applicable method for signal acquisition is compression sensing. It permits effective data sampling at a rate that is significantly lower than what the Nyquist theorem suggests. Compressive sensing has a number of benefits, including a muchreduced demand for sensory devices, a smaller memory storage need, a greater data transfer rate, and significantly lower power usage. Compr Read More
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A Novel Switched Hybrid-Voltage Doubler High Gain DC-DC Converter for Renewable Energy Applications
Authors: Asapu Siva and Rajendran VanithaBackground: In renewable energy system applications, the power converter is essential for transferring energy into the load centre. The AC network voltage is much higher than the renewable energy source voltage; therefore, a transformer is commonly used to step up the voltage. However, the size and cost of the system are larger due to the presence of a bulky transformer, and also the efficiency is deteriorated d Read More
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Performance of Indoor 5G 3GPP Systems
Authors: Sanya Khruahong, Sinh Cong Lam and Duc-Tan TranBackground: The 5G cellular networks are expected to provide high data rates for indoor environments by utilizing the mmWave bands. Due to a lack of general path loss models of these bands, various works have been carried out to find the most appropriate model that can provide accurate values of path loss over distance for different indoor scenarios. This paper focuses on some well-known path loss models, e.g, mixed an Read More
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Accurate Modeling and Control System Simulation of Bearingless Brushless DC Motor
Authors: Haoran Huang, Wenshao Bu and Yongfang LuBackground: Precise modeling and control system design are the basis of highperformance control of dual-winding bearingless brushless DC motors (BL-BLDCM), and the existing research is relatively few. Objective: This paper takes 12-slot/tooth 4-pole BL-BLDCM as the research object, establishes a set of a detailed mathematical model, and designs the control system of BL-BLDCM. ; Methods: Firstly, the structure of BL- Read More
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Construction of User Electricity Behavior Portrait based on QFPAKmeans Clustering
Authors: Xiuwen Yu and Yuancheng LiBackground: With the further opening of the electricity sales market, based on the current power reform situation, it is more emphasized to focus on the market and customers and carry out value marketing. Therefore, further mining the user value has become a necessary means for the transformation of power grid enterprises, and the construction of power user behavior portraits has very practical significance for the b Read More
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An Improved Informer Network for Short-Term Electric Load Forecasting
Authors: Xingrui Fan and Yuancheng LiBackground: Electric load forecasting plays an essential role in the dispatching operation of power systems. It can be divided into long-term, medium-term, and short-term according to the forecast time. Accurate short-term electric forecasting helps the system operate safely and reliably, reduces resource waste, and improves economic efficiency. Objective: To fully use the time-series characteristics in load data a Read More
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Optimization of Residential Electricity Consumption based on Multienergy Coordinated Control of Generation, Load, and Storage
Authors: Jun Tao, Minfu A., Zaixin Yang and Sheng XiangIntroduction: The power system is translating to the “generation, network, load, and storage multiple coordination control” model, which helps to increase the proportion of renewable energy consumption and reduce the operation cost. Materials and Methods: The residential electrical system is an important component in the power system, which includes distributed photovoltaic systems, flexible loads, electric vehicles, and ba Read More
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Error Prediction Method of Electronic Voltage Transformer based on Improved Prophet Algorithm
Authors: Zhenhua Li, Yue Zhong, Ahmed Abu-Siada and Qiu LiBackground: Electronic voltage transformer (EVT) is an essential metering device for future substation automation systems. One of the main drawbacks of EVT is its poor long-term stability, which affects its measurement accuracy. This will, in turn, adversely affect the entire protection and control systems it is employed for. Objective: Aiming at reducing the EVT measurement error over long-term operation, an EVT error pr Read More
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Optimization Design and Experimental Study of Cooling System in a High Voltage Induction Motor after Power Density Upgrade
Authors: Qingqing Lü, Xiaojun Wang, Liquan Yang, Gaowei Tian and Guangxi LiBackground: In order to upgrade a motor based on the YXKK450-2 for high power density with high efficiency, low energy consumption, and low weight with the same volume, its power is increased from the original 900 kW to 1250 kW. To ensure good ventilation and heat dissipation characteristics, it is necessary to redesign the ventilation and cooling system of the entire machine. Methods: Based on the finite volume Read More
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