Pregled bibliografske jedinice broj: 973627
Control variable selection for the corrective control of voltages and reactive power flows
Control variable selection for the corrective control of voltages and reactive power flows // Proceedings of 2016 51st International Universities Power Engineering Conference (UPEC)
Coimbra: Institute of Electrical and Electronics Engineers (IEEE), 2016. str. 1-6 doi:10.1109/UPEC.2016.8114144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Control variable selection for the corrective control of voltages and reactive power flows
Autori
Tomašević, Frano ; Pavić, Ivica ; Delimar, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2016 51st International Universities Power Engineering Conference (UPEC)
/ - Coimbra : Institute of Electrical and Electronics Engineers (IEEE), 2016, 1-6
ISBN
978-1-5090-4650-8
Skup
2016 51st International Universities Power Engineering Conference (UPEC)
Mjesto i datum
Coimbra, Portugal, 06.09.2016. - 09.09.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Voltage control ; Reactive power ; Optimization ; Power system stability
Sažetak
A sequential search strategy for the control variable subset selection, used for optimal power system voltage control and reactive power management, is presented in this paper. The objective of the presented selection method is to eliminate the redundant control variables which have small impact on the reactive power optimization (RPO) objective function and/or constraints. Selected control variable set is used for correcting the power system state in which the operational limits are violated. The candidate control variables are evaluated based not just on their impact on the out-of-bound variables, but also on the overall power system state. Sensitivity analysis, based on power flow calculation, was conducted for each candidate control variable and the results were used as an input data for the sequential search method. Considering the RPO is inherently a mixed integer nonlinear programming (MINLP) problem, the genetic algorithm (GA) was used for solving the optimization problem. The efficiency of the presented method was tested on IEEE test systems. Simulation results are presented for IEEE 118-bus test system.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus