Title :
Maximizing power system loadability by optimal allocation of svc using mixed integer linear programming
Author :
Chang, R.W. ; Saha, T.K.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, QLD, Australia
Abstract :
In this paper a method for optimal placement of Static Var Compensator (SVC) to maximize power system loadability is presented. The method is based on mixed integer linear programming (MILP) and line flow based equations are used in the formulation. This proposed method has the ability to not only determine the location and settings of SVCs, but to minimize the required compensation as well. The method is tested on the IEEE 9 bus system as well as a 30 bus test system and successfully determines the number of devices, along with their locations and device settings. As part of ongoing investigations the authors are aiming to verify this proposed method with a realistic large scale Australian HV electricity transmission network.
Keywords :
integer programming; linear programming; static VAr compensators; transmission networks; 30 bus test system; IEEE 9 bus system; MILP method; SVC; large-scale Australian HV electricity transmission network; line flow-based equations; mixed integer linear programming; optimal allocation; power system loadability maximization; static Var compensator;
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2010.5589795