TY - GEN
T1 - Bat algorithm optimized controller for automatic generation control of interconnected thermal power system
AU - Kaliannan, Jagatheesan
AU - Baskaran, Anand
AU - Dey, Nilanjan
AU - Ashour, Amira S.
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© 2019 The authors and IOS Press. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The power balance is considered as most remarkable issue in power generation system. In this proposed work thermal power systems are connected through tie-line. Thermal power system is designed by considering reheat turbine with single stage, governor, and speed regulator unit. Proportional-Integral-Derivative (PID) secondary controller is implemented to regulate the system operation. In this proposed work, the automatic generation control of three-area interconnected reheat thermal power generating system designed and discussed. The PID controller gain values are tuned with the help of more powerful evolutionary Bat Algorithm (BA) procedure. The proposed Bat algorithm tuned controller response was examined by comparing its performance with other optimization technique, namely Genetic Algorithm (GA) and Particle Swam Optimization (PSO) technique tuned controller response. Additionally, different cost functions-based bat algorithm optimized controller responses are presented and compared. The time domain specification parameters are considered for verifying the better-cost function for designing of controller. The simulated responses evident that proposed bat algorithm tuned controller output yield superior performance over GA & PSO tuned controller. Integral Time Square Error (ITSE) cost function-based BA tuned controller give better controlled response during sudden load demand condition in interconnected power system.
AB - The power balance is considered as most remarkable issue in power generation system. In this proposed work thermal power systems are connected through tie-line. Thermal power system is designed by considering reheat turbine with single stage, governor, and speed regulator unit. Proportional-Integral-Derivative (PID) secondary controller is implemented to regulate the system operation. In this proposed work, the automatic generation control of three-area interconnected reheat thermal power generating system designed and discussed. The PID controller gain values are tuned with the help of more powerful evolutionary Bat Algorithm (BA) procedure. The proposed Bat algorithm tuned controller response was examined by comparing its performance with other optimization technique, namely Genetic Algorithm (GA) and Particle Swam Optimization (PSO) technique tuned controller response. Additionally, different cost functions-based bat algorithm optimized controller responses are presented and compared. The time domain specification parameters are considered for verifying the better-cost function for designing of controller. The simulated responses evident that proposed bat algorithm tuned controller output yield superior performance over GA & PSO tuned controller. Integral Time Square Error (ITSE) cost function-based BA tuned controller give better controlled response during sudden load demand condition in interconnected power system.
KW - AGC (Automatic Generation Control)
KW - Bat Algorithm (BA)
KW - Genetic Algorithm (GA)
KW - Particle Swam Optimization (PSO) technique
KW - Proportional-Integral-Derivative (PID) controller
UR - http://www.scopus.com/inward/record.url?scp=85060860515&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-939-3-276
DO - 10.3233/978-1-61499-939-3-276
M3 - Conference contribution
AN - SCOPUS:85060860515
T3 - Frontiers in Artificial Intelligence and Applications
SP - 276
EP - 286
BT - Information Technology and Intelligent Transportation Systems - Proceedings of the 3rd International Conference on Information Technology and Intelligent Transportation Systems, ITITS 2018
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Zhao, Xiangmo
A2 - Balas, Valentina Emilia
A2 - Shi, Fuqian
PB - IOS Press BV
T2 - 3rd International Conference on Information Technology and Intelligent Transportation Systems, ITITS 2018
Y2 - 15 September 2018 through 16 September 2018
ER -