Title :
Generalized Minimum Variance Implicit Self-tuning Nodal Voltage Regulation in Power Systems with Pole-assignment Technique
Author :
Fusco, Giuseppe ; Russo, Mario
Author_Institution :
Fac. of Eng., Cassino Univ.
Abstract :
The application of the generalized minimum variance approach to the design of an implicit self-tuning with pole-assignment nodal voltage regulator in electrical power systems is presented. The regulator embeds a difference filter to counteract the effects of a constant disturbance term present in the proposed power system model. The difference filter and the disturbance term generate equivalent terms in the generalized pseudo-output which must be accounted for into the estimation algorithm. Implementation aspect and simulation results are finally discussed and reported
Keywords :
adaptive control; autoregressive processes; control system synthesis; pole assignment; polynomials; power system control; power system faults; self-adjusting systems; voltage control; difference filter; electrical power systems; generalized minimum variance; pole assignment; self-tuning nodal voltage regulation; Adaptive control; Finite impulse response filter; Frequency; Polynomials; Power system dynamics; Power system modeling; Power system simulation; Power systems; Regulators; Voltage control; Generalized minimum variance approach; Power system voltage regulation; Self-tuning regulator;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345452