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Author(s):  
Vladimir Mikhailovich Levin ◽  
Ammar Abdulazez Yahya ◽  
Diana A. Boyarova

Power transformers are one of the most important and complex parts of an electric power system. Maintenance is performed for this responsible part based on the technical condition of the transformer using a predictive approach. The technical condition of the power transformer can be diagnosed using a range of different diagnostic methods, for example, analysis of dissolved gases (DGA), partial discharge monitoring, vibration monitoring, and moisture monitoring. In this paper, the authors present a digital model for predicting the technical condition of a power transformer and determining the type of defect and its cause in the event of defect detection. The predictive digital model is developed using the programming environment in LabVIEW and is based on the fuzzy logic approach to the DGA method, interpreted by the key gas method and the Dornenburg ratio method. The developed digital model is verified on a set of 110 kV and 220 kV transformers of one of the sections of the distribution network and thermal power plant in the Russian Federation. The results obtained showed its high efficiency in predicting faults and the possibility of using it as an effective computing tool to facilitate the work of the operating personnel of power enterprises.


2022 ◽  
Vol 150 ◽  
pp. 106873
Author(s):  
Lilian Lu ◽  
Zhoujie Wu ◽  
Qican Zhang ◽  
Chaowen Chen ◽  
Yueyang Li ◽  
...  

2022 ◽  
Vol 148 ◽  
pp. 107767
Author(s):  
Chao Ma ◽  
Zhao Liu ◽  
Ke Liu ◽  
Yang Yu ◽  
Xiao-jun Wang ◽  
...  
Keyword(s):  

Fuel ◽  
2022 ◽  
Vol 314 ◽  
pp. 123061
Author(s):  
Shiwei Ge ◽  
Xiaoqing Liu ◽  
Jun Liu ◽  
Hao Liu ◽  
Haiyan Liu ◽  
...  

Author(s):  
Mustapha El Alaoui ◽  
Karim El Khadiri ◽  
Rachid El Alami ◽  
Ahmed Tahiri ◽  
Ahmed Lakhssassi ◽  
...  

A new Li-Ion battery charger interface (BCI) using pulse control (PC) technique is designed and analyzed in this paper. Thanks to the use of PC technique, the main standards of the Li-Ion battery charger, i.e. fast charge, small surface area and high efficiency, are achieved. The proposed charger achieves full charge in forty-one minutes passing by the constant current (CC) charging mode which also included the start-up and the constant voltage mode (CV) charging mode. It designed, simulated and layouted which occupies a small size area 0.1 mm2 by using Taiwan Semiconductor Manufacturing Company 180 nm complementary metal oxide semi-conductor technology (TSMC 180 nm CMOS) technology in Cadence Virtuoso software. The battery voltage VBAT varies between 2.9 V to 4.35 V and the maximum battery current IBAT is 2.1 A in CC charging mode, according to a maximum input voltage VIN equal 5 V. The maximum charging efficiency reaches 98%.


Author(s):  
Ahmed Abdulmula ◽  
Kamaruzzaman Sopian ◽  
Norasikin Ahmad Ludin ◽  
Lim Chin Haw ◽  
Abdelnaser Elbreki ◽  
...  

This study investigates the technical and cost-effective performance of options renewable energy sources to develop a green off-grid telecommunication tower to replace diesel generators in Malaysia. For this purpose, the solar, wind, pico-hydro energy, along with diesel generators, were examined to compare. In addition, the modeling of hybrid powering systems was conducted using hybrid optimization model for energy (HOMER) simulation based on techno-economic analysis to determine the optimal economically feasible system. The optimization findings showed that the hybrid high-efficiency fixed photovoltaic (PV) system with battery followed by 2 kW pico-hydropower and battery are the optimal configurations for powering off-grid telecommunication towers in Malaysia with the lowest net present cost (NPC) and cost of energy (COE). These costs of NPC and COE are more down than diesel generator costs with battery by 17.45%, 16.45%, 15.9%, and 15.5%, respectively. Furthermore, the economic evaluation of the high-efficiency solar fixed PV panels system annual cash flow compared to the diesel generator with the battery system indicated a ten-year payback period.


2022 ◽  
Vol 30 ◽  
pp. 103058
Author(s):  
Jiaxin Liu ◽  
Zhenyu Lei ◽  
Qing Wang ◽  
Yun Mou ◽  
Mingxiang Chen

2022 ◽  
Vol 139 ◽  
pp. 106348
Author(s):  
Asmaa M. Elsayed ◽  
Mohamed Shaban ◽  
Arafa H. Aly ◽  
Ashour M. Ahmed ◽  
Mohamed Rabia

Author(s):  
Mounir Ouremchi ◽  
Said El Mouzouade ◽  
Karim El Khadiri ◽  
Ahmed Tahiri ◽  
Hassan Qjidaa

This paper presents an integrated power control system for photovoltaic systems based on maximum power point tracking (MPPT). The architecture presented in this paper is designed to extract more power from photovoltaic panels under different partial obscuring conditions. To control the MPPT block, the integrated system used the ripple correlation control algorithm (RCC), as well as a high-efficiency synchronous direct current (DC-DC) boost power converter. Using 180 nm complementary metal-oxide-semiconductor (CMOS) technology, the proposed MPPT was designed, simulated, and layout in virtuoso cadence. The system is attached to a two-cell in series that generates a 5.2 V average output voltage, 656.6 mA average output current, and power efficiency of 95%. The final design occupies only 1.68 mm2.


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