DocumentCode :
3587171
Title :
2014 Smart Grid Conference (SGC) [Title page]
fYear :
2014
Firstpage :
1
Lastpage :
1
Abstract :
The following topics are dealt with: autonomous VSC-based islanded microgrid stability analysis; demand side management; smart grid multienergy local network; transmission line thermal rating online assessment; online ANN tuning approach; synchronous converter; parallel voltage source inverter; CHP; gas turbine power plant; SCADA system; flywheel energy storage system; distribution network fault diagnosis; nonlinear discrete time system; intelligent lighting control; LED; PV inverter; THD minimization; PV power plant forecasting generation; direct load control reliability; plug in electric vehicles; V2G strategy; artificial neural network; sensitivity analysis; demand response market.
Keywords :
cogeneration; demand side management; distributed power generation; distribution networks; electric vehicles; energy management systems; energy storage; fault diagnosis; gas turbine power stations; lighting control; load forecasting; load regulation; neurocontrollers; power convertors; power markets; power system faults; power system stability; sensitivity analysis; smart power grids; solar power stations; CHP; LED; PV inverter THD minimization; PV power plant forecasting generation; SCADA system; V2G strategy; artificial neural networks; autonomous VSC-based islanded microgrid stability analysis; demand response market; demand side management; direct load control reliability; distribution network fault diagnosis; flywheel energy storage system; gas turbine power plant; intelligent lighting control; nonlinear discrete time system; online ANN tuning approach; parallel voltage source inverter; plug in electric vehicles; sensitivity analysis; smart grid multienergy local network; synchronous converter; transmission line thermal rating online assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Conference (SGC), 2014
Print_ISBN :
978-1-4799-8313-1
Type :
conf
DOI :
10.1109/SGC.2014.7090875
Filename :
7090875
Link To Document :
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