Title :
Wind farm integration effect on electricity market price
Author :
Rana, Vijay ; Ansari, M.A.
Author_Institution :
Dept. of Electr. Eng., Gautam Buddha Univ., Noida, India
Abstract :
Wind generation is the most increasing resource in the renewable energy. Now a days, the wind power has a large installed output power capacity in the world among the renewable energy sources. The wind power integration into power system grids has some effect on power system issues as transmission congestion, optimum power flow, system stability, power quality, system economics and load dispatch. Subsequently wind farm integration into power grids could have an effect on electricity market prices. This study addresses these issues, by developing a single auction market model. The Genetic Algorithm is to analysis this market based problem and find the best solution as considered to the integration wind farm. The active power of wind and generator is discuss and analysis there effect on the electricity price.
Keywords :
electronic commerce; genetic algorithms; load flow; power generation dispatch; power generation economics; power grids; power markets; power supply quality; power system stability; power transmission economics; pricing; wind power plants; electricity market pricing; genetic algorithm; load dispatching; optimum power flow; output power capacity installation; power quality; power system economics; power system grid; power system stability; renewable energy resource; single auction market model; transmission congestion; wind farm integration effect; wind power generation; Generators; Genetic algorithms; Sociology; Statistics; Wind energy; Wind farms; Wind power generation; Active Power; Electricity Price; Genetic Algorithm; Integration issues; Wind Farm;
Conference_Titel :
Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-6149-1
DOI :
10.1109/ICEETS.2013.6533408
