Title :
Optimal power flow in presence of uncertainties
Author :
Ai-Chih Lin ; Shin-Yeu Lin
Author_Institution :
Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan
Abstract :
This paper presents a new algorithm for the optimal power flow (OPF) in the presence of uncertainties cause by renewable energy source. The proposed algorithm consists two parts. One part is the off-line analysis to identify the probability distribution model of the concerned security terms. The other part is the on-line application algorithm to determine the restricted upper and lower bounds of the security terms. We test the proposed algorithm on the OPF problem in the presence of uncertainties of a 26-bus system. The test results demonstrate that the proposed algorithm is efficient and effective.
Keywords :
load flow; power system security; renewable energy sources; statistical distributions; OPF; lower bounds; off-line analysis; online application algorithm; optimal power flow; power system security terms; probability distribution model; renewable energy source; upper bounds; Algorithm design and analysis; Power generation; Probability distribution; Renewable energy sources; Security; Uncertainty; Wind speed;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5072-3
DOI :
10.1109/PEOCO.2013.6564544
