http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Praneeth, Ammanamanchi Venkata Jaya Sai (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
PV fed Hybrid Power Converter for rural home applications
Karthikeyan A,Praneeth C.V.S,Prabhakaran K. K. 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
This paper proposes a standalone PV fed hybrid power converter for rural home applications. The aim of the proposed system is to simultaneously deliver the power extracted from PV panels to DC and AC home loads using the proposed hybrid converter topology. The system operates in either MPP or Non–MPP mode depending on the total power demanded by the loads. Modified Perturb and Observe (P&O) MPPT algorithm is used to extract maximum power from PV panels. SPWM based modified PWM technique is used for converter operation. In the MPP mode the power distribution to DC load and AC load is in accordance with the duty generated by modified MPPT. In Non MPP mode, power distribution is in accordance with the duty generated by the single loop voltage control for DC load. The simulation studies for the proposed system are carried out in MATLAB/SIMULINK environment.
-
Simplified DC voltage sensorless control of single-phase PFC converters in EV chargers
Anand, Nidumolu Vijaya,Praneeth, Ammanamanchi Venkata Jaya Sai,Yalla, Naveen,Sood, Vijay K. The Korean Institute of Power Electronics 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.11
A novel method for controlling the output DC link voltage of a single-phase power factor correction (PFC) converter without using a DC voltage sensor for electric vehicle (EV) charging is proposed in this paper. The conventional boost PFC converter normally uses three expensive sensors, i.e., at the input voltage, the input current, and the output voltage. These sensors are used to regulate the power quality and maintain system stability. To reduce the cost and hardware complexity in the power converter, a DC voltage sensorless control using an estimator is proposed. This method utilizes the available input voltage and current signals to predict the output DC link voltage. This predicted output voltage contains an average DC component superimposed with a small ripple content at double the line frequency (2f). The proposed control method tracks the reference sinewave signal to maintain a high-power factor. The converter also exhibits very stable behavior under transient load variations. Simulated and experimental validation results obtained with a 1 kW prototype PFC converter are included.
-
-
Gunasinghage Prasadh Gunasinghe,Nalin Prasanna Ratnayake,Amila Sandaruwan Ratnayake,G. V. I. Samaradivakara,Nimila Praneeth Dushyantha,Ravindra Jayaratne,Kodithuwakka Arachchige Dinusha,Akalanka Silva 한국해양과학기술원 2022 Ocean science journal Vol.57 No.3
Long-term field monitoring of shoreline changes is time-consuming, expensive, and labor-intensive. Instead, satellite images can be used as an alternative method to collect field data. The time-series satellite images are available at any location in the world that can be processed with the Google Earth Engine cloud environment. This study primarily focuses on shoreline change detection and describing the coastal geomorphology of three urban beaches on the west coast of Sri Lanka. The study extended from 2015 to 2021 during which large-scale coastal development projects were carried out in the study area. The ‘CoastSat’ toolkit was used to extract the time-series of shoreline positions. Time-series shoreline position obtained through ‘CoastSat’ was compared with the field measurements carried out using the Global Navigation Satellite System technique with a horizontal accuracy of 7 mm. The results indicate that the average horizontal difference of shoreline positions obtained by ‘CoastSat’ and field observation was 7.5 ± 1 m in Agulana-Ratmalana on 19 August 2019, and was 8.3 ± 1 m in Kalutara on 29 July 2020. The extracted shoreline changes show erosion and deposition patterns affected by monsoon seasonality and anthropogenic events. The results further show that North of Mount Lavinia Beach was accreted from 18 to 27 m, while South of Mount Lavinia Beach was eroded from 12 to 17 m. Accretion was mainly due to sand nourishment in the area during the 1st quarter of 2020. Furthermore, Agulana-Ratmalana Beach predominantly accreted from 22 to 30 m, while the northernmost transect (AR1) had a steady-state beach condition. This was again due to nourished sand during the 1st quarter of 2020. In contrast, accretion and erosion trends in Kalutara Beach are mainly due to the breakup of the river mouth sand bar to control flooding by the artificial cutting open of the sand spit bar in 2017. The transect (KL2) near the broken sand spit bar at the north of Kalutara shows severe erosion (56 m), since northward longshore transport of sediment has stopped with the breakage of the sand spit bar. In contrast, Kalutara south transects show an accretion to steady-state condition due to the existing hard engineering structures. Consequently, the study suggests that the CoastSat: A Google Earth Engine-enabled Python toolkit can be used to extract shoreline positions and to detect medium-to-large-scale coastline changes with appropriate tidal corrections, when and where there are no long-term coastal field measurements available. This method could be adapted to any coastal area in the world for acceptable shoreline detection that would be very useful for planning and evaluating coastal management strategies.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
