Title :
A new LQR modeling approach for power quality conditioning devices
Author :
Kanieski, João Marcos ; Grundling, Hilton Abilio ; Cardoso, Rafael
Author_Institution :
Grupo de Pesquisa em Analise e Processamento de Energia, Univ. Tecnol. Fed. do Parana, Pato Branco, Brazil
Abstract :
This paper proposes a new modeling approach for power quality conditioning devices. This modeling allows the use of LQR controllers with better accuracy. It is due to the incorporation of the grid voltages mathematical model, usually considered as disturbances, in the description of the plant to be controlled. This method is feasible thanks to a reference generation scheme, recently proposed by the authors, based on the optimum filtering theory which provides the state space variables needed to represent the new plant state space model proposed. The reference generation mentioned above also provides references for harmonics cancellation, displacement power factor correction and unbalance compensation. The power conditioning topology consists of a battery energy storage system (BESS), that uses a three-phase three-legs shunt Voltage Source Inverter (VSI) and a battery bank.
Keywords :
filtering theory; harmonics suppression; power factor correction; power supply quality; state-space methods; BESS; LQR controllers; LQR modeling approach; VSI; battery bank; battery energy storage system; displacement power factor correction; grid voltage mathematical model; harmonics cancellation; optimum filtering theory; plant state space model; power conditioning topology; power quality conditioning devices; reference generation scheme; state space variables; three-phase three-legs shunt voltage source inverter; unbalance compensation; Active power filter; LQR; Optimum control; Power quality;
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2010.5675275