Title :
Optimal allocation of dynamic VAR for enhancing stability and power quality
Author :
Tiwari, Ashutosh ; Ajjarapu, Venkataramana
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA
Abstract :
This paper introduces a method for determining optimal location and capacity of dynamic shunt reactive power (VAR) support which is needed to enhance power quality and ensure short term stability with respect to credible contingencies. In this paper, simulated annealing (SA) and trajectory optimization (TO) technique is proposed for solving mixed integer minimax trajectory optimization (MIMTO) problem. This method is tested on 3 bus system and IEEE 39 bus system with promising results.
Keywords :
integer programming; power supply quality; power system stability; reactive power; simulated annealing; IEEE39 bus system; dynamic shunt reactive power support; mixed integer minimax trajectory optimization problem; optimal allocation; power quality enhancement; short term stability; simulated annealing; trajectory optimization technique; Control systems; Power quality; Power system dynamics; Power system modeling; Power system security; Power system simulation; Power system stability; Power transmission lines; Reactive power; Simulated annealing; Minimax; optimal amount; optimal location; power system dynamic security; simulated annealing; trajectory optimization;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596548
