Title :
Chance constrained optimal power flow with non-Gaussian distributed uncertain wind power generation
Author :
Kloppel, M. ; Gabash, Aouss ; Geletu, A. ; Pu Li
Author_Institution :
Dept. of Simulation & Optimal Processes, Ilmenau Univ. of Technol., Ilmenau, Germany
Abstract :
Chance constrained optimization (CCOPT) turns out to be a valuable approach to optimal power flow under uncertainty. The aim of this study is to develop a novel computation framework to solve CCOPT problems with non-Gaussian distributed uncertain variables and apply it to optimal power flow (OPF) under uncertain wind power penetration with Beta distribution. Results of OPF of a real distribution system with embedded wind power generation show the effectiveness of the proposed approach.
Keywords :
Gaussian distribution; constraint handling; distributed power generation; load flow; optimisation; wind power plants; Beta distribution; CCOPT; OPF; chance constrained optimization; embedded wind power generation; nonGaussian distributed uncertain wind power generation; optimal power flow uncertainty;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 12th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-3060-2
DOI :
10.1109/EEEIC.2013.6549628
