DocumentCode :
1720616
Title :
Optimal allocation of wind parks considering Wind and Load uncertainties using Genetic Algorithm
Author :
Borges, S. ; Affonso, C.M. ; de Oliveira, R.C.L. ; Reston Filho, J.C.
Author_Institution :
Fed. Univ. of Para, Belem, Brazil
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a probabilistic approach to determine the optimal location, size and power factor of wind parks in power systems. The optimization technique used is the Genetic Algorithm and the proposed method considered the intermittent nature of wind power and load in the system under study. It is important to mention that in most studies wind plants are operated at unity power factor to supply only active power to the grid. However, recent technological advancement has created the opportunity to operate wind parks injecting reactive power into the system, making important to consider different power factor modes. The test system used is a distribution system with 33 buses and the results proved the efficiency of the proposed method and the importance to consider load and wind uncertainties in the model.
Keywords :
genetic algorithms; power distribution economics; power factor; power grids; probability; reactive power; wind power plants; genetic algorithm; load uncertainties; power distribution system; power grid; probabilistic approach; reactive power; size factor; unity power factor; wind park optimal allocation; wind power plant; wind uncertainties; Energy loss; Genetic algorithms; Probabilistic logic; Reactive power; Wind speed; Wind turbines; genetic algorithm; optimal allocation; probabilistic approach; uncertainties; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Energy Market (EEM), 2015 12th International Conference on the
Conference_Location :
Lisbon
Type :
conf
DOI :
10.1109/EEM.2015.7216713
Filename :
7216713
Link To Document :
بازگشت