Title :
A new method of calculating generation linear distribution factors by least square fitting
Author :
Dongping, Ai ; Hai, Bao ; Yihan, Yang
Author_Institution :
Sch. of Electr. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
In the security constrained dispatch, congestion management, etc, the computation of line flows is important work. It is not only necessary to meet the need of real-time, but also to guarantee the accuracy. This paper, basing on the observation of a lot of line flow data, deduces the linear relationship between generation and its active power components on transmission lines. In order to prove this deduction, some reasonable assumptions will be introduced based on the circuit theory. Using the least square fitting technique, the linear distribution factors could be obtained. When the generations have been changed, the distribution of their components and the line flows can be calculated rapidly by using these linear factors, not running the complete load flow program. Comparing with the AC or DC sensitivity methods, such as generation shift distribution fcators (GSDF) and Jacobian based distribution factors (JBDF), this method does not rely on the slack bus and its accuracy is verified by calculating IEEE9-Bus system.
Keywords :
distributed power generation; least squares approximations; load flow; power transmission lines; IEEE9-Bus system; active power components; congestion management; generation linear distribution factors; least square fitting technique; line flows; security constrained dispatch; transmission lines; AC generators; Circuit theory; DC generators; Data security; Distributed parameter circuits; Least squares methods; Load flow; Power generation; Power transmission lines; Transmission line theory; AC sensitivity factors; DC sensitivity factors; Least Square Fitting; generation linear distribution factors; power components; power system; real-time application;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348301