Title :
Phase shifter placement in large-scale systems via mixed integer linear programming
Author :
Lima, Flavio G M ; Galiana, Francisco D. ; Kockar, Ivana ; Munoz, Jorge
Author_Institution :
Dept. de Engenharia Eletrica, Univ. Fed. do Mato Grosso do Sul, Campo Grande-MS, Brazil
Abstract :
This paper makes use of advances in mixed integer linear programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.
Keywords :
flexible AC transmission systems; integer programming; linear programming; load flow; phase shifters; power systems; power transformers; thyristor applications; 904-bus network; DC load flow model; FACTS; IEEE 118-bus system; IEEE 24-bus system; IEEE 300-bus system; active flow; combinatorial optimal placement; flexible AC system transmission allocation methods; generation limits; large-scale system; mixed integer linear programming; network location; phase shifter constraints; phase shifter placement; phase shifters settings; system loadability; thyristor controlled phase shifter transformers; Control systems; Large-scale systems; Load flow; Mixed integer linear programming; Optimal control; Phase shifters; Power system modeling; Power system simulation; Thyristors; Transformers;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2003.814858
