다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
International journal of hydrogen energy, v.43 no.39, 2018년, pp.18452 - 18462
Liang, Zhanhao (Network International Center, Dongguan University of Technology, Dongguan, 523808, China) , Qin, Yong (Network International Center, Dongguan University of Technology, Dongguan, 523808, China) , Wu, Fengzhi (Natural Energy Course, Faculty of Engineering, Ashikaga Institute of Technology, Tochigiken, 326-8558, Japan) , Ren, Ziliang (Network International Center, Dongguan University of Technology, Dongguan, 523808, China) , Liu, Yuzhi (Network International Center, Dongguan University of Technology, Dongguan, 523808, China) , Li, Kun (School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, 300130, China) , Berti, Stephen (Energy Engineering, University of South Florida, 4202 E. Fowler Ave., 33620, United States)
AI-Helper
Abstract With increasing load in the power system, several new energy resources such as Fuel Cell (FC) have been added into the systems which increased the systems complexity and uncertainty. Unwanted islanding is one of the main problems for this generation. This article presents a novel technique...
Int J Hydrogen Energy Tanay Sıdkı 42 4 2453 2017 10.1016/j.ijhydene.2016.09.086 Integration of hydrogen energy systems into renewable energy systems for better design of 100% renewable energy communities
Int J Hydrogen Energy Konstantinopoulos 43 1 490 2018 10.1016/j.ijhydene.2017.06.116 Optimal management of hydrogen storage in stochastic smart microgrid operation
Int J Hydrogen Energy Mukherjee 42 20 14333 2017 10.1016/j.ijhydene.2017.03.083 Techno-economic, environmental, and safety assessment of hydrogen powered community microgrids; case study in Canada
Int J Hydrogen Energy Anastasiadis 42 5 3479 2017 10.1016/j.ijhydene.2016.09.093 Effect of fuel cell units in economic and environmental dispatch of a Microgrid with penetration of photovoltaic and micro turbine units
Int J Hydrogen Energy Bayrak 39 16 8872 2014 10.1016/j.ijhydene.2014.03.187 A novel anti islanding detection method for grid connected fuel cell power generation systems
Int J Hydrogen Energy Anastasiadis 42 12 8242 2017 10.1016/j.ijhydene.2017.01.208 Electric vehicle charging in stochastic smart microgrid operation with fuel cell and RES units
Int J Hydrogen Energy Vigneysh 41 3 1877 2016 10.1016/j.ijhydene.2015.11.022 Autonomous operation and control of photovoltaic/solid oxide fuel cell/battery energy storage based microgrid using fuzzy logic controller
Int J Hydrogen Energy Martin, Idoia 38 27 11655 2013 10.1016/j.ijhydene.2013.06.098 Integration of fuel cells and supercapacitors in electrical microgrids: analysis, modelling and experimental validation
Energy Convers Manag GokayBayrak 96 15 228 2015 A remote islanding detection and control strategy for photovoltaic-based distributed generation systems
Natl Acad Sci Lett Ghadimi 37 5 447 2014 10.1007/s40009-014-0260-5 MDE with considered different load scenarios for solving optimal location and sizing of shunt capacitors
Complexity Ghadimi 21 1 10 2015 10.1002/cplx.21537 An adaptive neuro-fuzzy inference system for islanding detection in wind turbine as distributed generation
Complexity Hagh 21 1 195 2015 10.1002/cplx.21556 Multisignal histogram-based islanding detection using neuro-fuzzy algorithm
Front Energy Hagh 9 1 75 2015 10.1007/s11708-014-0337-3 Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based DG
Int J Electr Power Energy Syst Farid 45 1 443 2013 10.1016/j.ijepes.2012.09.008 Islanding detection for inverter-based DG coupled with using an adaptive neuro-fuzzy inference system
Complexity Noruzi 21 2 100 2015 10.1002/cplx.21582 A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods
Hagh 2011 Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on (pp. 1-5) New islanding detection algorithm for wind turbine
Comput Intell Oveis 34 1 241 2018 10.1111/coin.12145 Solar energy forecasting based on hybrid neural network and improved metaheuristic algorithm
Int J Ambient Energy Ghadimi 1 2017 10.1080/01430750.2017.1412350 Application of a new hybrid forecast engine with feature selection algorithm in a power system
Neural Process Lett Mohammadi 48 1 329 2018 10.1007/s11063-017-9723-2 Small-scale building load forecast based on hybrid forecast engine
J Ambient Intell Humaniz Comput Ghadimi 1 2017 A new prediction model based on multi-block forecast engine in smart grid
IET Renew Power Gener Abedinia 11 13 1648 2017 10.1049/iet-rpg.2017.0165 Effective prediction model for Hungarian small-scale solar power output
Renew Sustain Energy Rev Vyas 69 493 2017 10.1016/j.rser.2016.11.116 Data analytics and computational methods for anti-islanding of renewable energy based Distributed Generators in power grids
Neurocomputing Shayeghi 177 12 478 2016 10.1016/j.neucom.2015.11.056 Optimal neuro-fuzzy based islanding detection method for Distributed Generation
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.