Title :
A Novel TCSC Planning Model Based on Line Flow Equations Via MILP
Author :
Yang, G.Y. ; Hovland, G. ; Majumder, R. ; Dong, Z.Y.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
Abstract :
As a useful tool for combinatorial optimisation over continuous and discrete variables, the mixed-integer linear programming (MILP) approach can address complex control and planning models providing high computational efficiency as well as robust behavior. On power system planning, previous work using MILP employed conventional dc load flow model neglecting reactive power, power loss and transformer tap ratios. In this paper, a novel thyristor-controlled series compensator (TCSC) allocation model is proposed based on recently reported line flow equations and basic linearisation rule of binary-continuous products. The objectives of the planning strategy are to improve system loadability by choosing proper locations and settings of devices. Simulation results are presented and discussed for IEEE 9- and 118-bus systems.
Keywords :
integer programming; linear programming; load flow; power system planning; reactive power; thyristor applications; IEEE 118-bus systems; IEEE 9-bus systems; TCSC planning model; binary-continuous products; combinatorial optimisation; continuous variables; conventional DC load flow model; discrete variables; high computational efficiency; line flow equations via MILP; mixed-integer linear programming approach; power loss; power system planning; reactive power; system loadability; thyristor-controlled series compensator allocation model; transformer tap ratios; Computational efficiency; Computational modeling; Equations; Linear programming; Load flow; Power capacitors; Power system modeling; Power system planning; Robust control; Thyristors; evolutionary algorithms; flexible ac transmission system; line flow based equations; linear programming; loadability; mixed-integer linear programming;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385741