TY - GEN
T1 - Decentralized sliding mode control for load frequency problem in three - Area power systems
AU - Klimontowicz, Maksmilian Lukasz
AU - Al-Hinai, A.
AU - Peng, Jimmy Chih Hsien
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/3/12
Y1 - 2015/3/12
N2 - Frequency issues exist in generation, transmission and load sectors. From the load point of view, frequency sensitive devices like engines or clocks require quasi constant frequency to work properly. Whereas in the transmission system, power losses like hysteresis and eddy currents in transformers are frequency dependent. At the generation side, it is essential to prevent rotor angle from exceeding maximal threshold value; thus avoiding generators becoming out-of-step. Many techniques and model predictive control were published to solve the load frequency control (LFC) problem. Moreover, current optimization methods and high performance computers allow engineers to optimize complicated linear and nonlinear problems within reasonable time. Among optimization techniques, genetic algorithm (GA) optimization is utilized by control designers. It is also supported by Optimtool - MATLAB toolbox. This paper presented a comparative study of conventional and sliding mode control (SMC) designs for LFC. Optimized conventional controllers (PI and PID) were applied into a three - area system. Generated responses from conventional controllers were compared to responses from systems equipped with decentralized SMC.
AB - Frequency issues exist in generation, transmission and load sectors. From the load point of view, frequency sensitive devices like engines or clocks require quasi constant frequency to work properly. Whereas in the transmission system, power losses like hysteresis and eddy currents in transformers are frequency dependent. At the generation side, it is essential to prevent rotor angle from exceeding maximal threshold value; thus avoiding generators becoming out-of-step. Many techniques and model predictive control were published to solve the load frequency control (LFC) problem. Moreover, current optimization methods and high performance computers allow engineers to optimize complicated linear and nonlinear problems within reasonable time. Among optimization techniques, genetic algorithm (GA) optimization is utilized by control designers. It is also supported by Optimtool - MATLAB toolbox. This paper presented a comparative study of conventional and sliding mode control (SMC) designs for LFC. Optimized conventional controllers (PI and PID) were applied into a three - area system. Generated responses from conventional controllers were compared to responses from systems equipped with decentralized SMC.
KW - LFC
KW - genetic algorithm
KW - power system
KW - sliding mode control
UR - http://www.scopus.com/inward/record.url?scp=84929121107&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929121107&partnerID=8YFLogxK
U2 - 10.1109/IEEEGCC.2015.7060100
DO - 10.1109/IEEEGCC.2015.7060100
M3 - Conference contribution
AN - SCOPUS:84929121107
T3 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
BT - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015
Y2 - 1 February 2015 through 4 February 2015
ER -