Title :
Probabilistic assessment of wind turbine integration in deregulated electricity market
Author :
Joseph, Lucina ; Manimegalai, R.
Author_Institution :
Power Syst., St. Joseph´s Coll. of Eng., Chennai, India
Abstract :
In this paper, a probabilistic method to analyse the impact on the social welfare as a result of integrating wind turbine into the network, is proposed. The uncertainties arising due to the stochastic nature of the wind has been modeled using Monte Carlo simulation. By accounting the demand side variations and stochastically varying wind speeds, optimal power flow has been run for light load, regular load and heavy load conditions. In addition, the probabilistic social welfare is also obtained for these samples. The work has been implemented in MATLAB platform, using some features of the MATPOWER suite. This approach can be a guideline for the wind power traders to be in competition in the day ahead wholesale electricity market.
Keywords :
Monte Carlo methods; load flow; power markets; wind turbines; MATLAB platform; MATPOWER suite; Monte Carlo simulation; demand side variations; deregulated electricity market; heavy load condition; light load condition; optimal power flow; probabilistic assessment; probabilistic social welfare; regular load condition; wind power traders; wind turbine integration; Load flow; Load modeling; Probabilistic logic; Probability distribution; Reactive power; Wind speed; Wind turbines; Monte Carlo simulation; Optimal power flow; Social welfare; Wind turbines;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
DOI :
10.1109/ICCPCT.2014.7055012
