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Pregled bibliografske jedinice broj: 463118

Applying optimal sliding mode based load-frequency control in power systems with controllable hydro power plants


Vrdoljak, Krešimir; Perić, Nedjeljko; Petrović, Ivan
Applying optimal sliding mode based load-frequency control in power systems with controllable hydro power plants // AUTOMATIKA - Journal for Control, Measurement, Electronics, Computing and Communications, 51 (2010), 1; 3-18 (međunarodna recenzija, članak, znanstveni)


Naslov
Applying optimal sliding mode based load-frequency control in power systems with controllable hydro power plants

Autori
Vrdoljak, Krešimir ; Perić, Nedjeljko ; Petrović, Ivan

Izvornik
AUTOMATIKA - Journal for Control, Measurement, Electronics, Computing and Communications (0005-1144) 51 (2010), 1; 3-18

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Fast output sampling; genetic algorithm; identification; load-frequency control; power system model; sliding mode control

Sažetak
In this paper an optimal load-frequency controller for nonlinear power system is proposed. The mathematical model of power system consists of one area with several power plants, a few concentrated loads and transmission network, along with simplified models of neighbor areas. Firstly, a substitute linear model is derived, with its parameters being identified from the responses of the nonlinear model. That model is used for load-frequency control (LFC) algorithm synthesis, which is based on discrete-time sliding mode control. Due to non-minimum phase behavior of hydro power plants, full-state feedback sliding mode controller must be used. Therefore, an estimation method based on fast output sampling is proposed for estimating unmeasured system state and disturbance. Finally, the controller's parameters are optimized using genetic algorithm. Simulation results show that the proposed control algorithm with the proposed estimation technique can be used for LFC in nonlinear power system.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti



POVEZANOST RADA


Projekt / tema
036-0361621-3012 - Napredne strategije upravljanja i estimacije u složenim sustavima (Nedjeljko Perić, )
036-0363078-3018 - Upravljanje mobilnim robotima i vozilima u nepoznatim i dinamičkim okruženjima (Ivan Petrović, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • The INSPEC Science Abstracts series
  • EBSCO