TY - GEN
T1 - Application of Bat Algorithm to Reduce Power Loss in Electrical Power Systems
AU - Adegoke, Samson Ademola
AU - Sun, Yanxia
AU - Wang, Zenghui
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The bat algorithm (BA) is a population-based optimization that mimics the echolocation of microbats when looking for prey and avoiding obstacles. BA is a unique algorithm that gives fast convergence and optimum solutions to a problem. Reactive power dispatch (RPD) plays a vital role in the control and operation of the power system and is part of the optimal power flow (OPF) problem. It is formulated as continuous and discrete (i.e., mixed integer nonlinear programming) model. This research involves the application of BA to RPD to reduce power loss (PL) in transmission systems and applied constraints handling (penalty function) to keep it within the operating limits. Also, the optimum control settings are voltage of the generator, reactive power sources, and transformer taps were obtained without violating the limits. The method's performance was demonstrated on standard IEEE New England 39 and 57 node systems. BA can reduce the test systems’ losses to 37.109 MW and 22.304 MW from the initial case of 43.6 MW and 28.46 MW, respectively. The percentage savings of the test systems are 14.94% and 21.63%, respectively, which shows that BA can reduce PL in electrical power systems. The simulation results of BA are compared with the other techniques, and BA outperformed them.
AB - The bat algorithm (BA) is a population-based optimization that mimics the echolocation of microbats when looking for prey and avoiding obstacles. BA is a unique algorithm that gives fast convergence and optimum solutions to a problem. Reactive power dispatch (RPD) plays a vital role in the control and operation of the power system and is part of the optimal power flow (OPF) problem. It is formulated as continuous and discrete (i.e., mixed integer nonlinear programming) model. This research involves the application of BA to RPD to reduce power loss (PL) in transmission systems and applied constraints handling (penalty function) to keep it within the operating limits. Also, the optimum control settings are voltage of the generator, reactive power sources, and transformer taps were obtained without violating the limits. The method's performance was demonstrated on standard IEEE New England 39 and 57 node systems. BA can reduce the test systems’ losses to 37.109 MW and 22.304 MW from the initial case of 43.6 MW and 28.46 MW, respectively. The percentage savings of the test systems are 14.94% and 21.63%, respectively, which shows that BA can reduce PL in electrical power systems. The simulation results of BA are compared with the other techniques, and BA outperformed them.
KW - Bat algorithm
KW - Reactive power dispatch
KW - Transmission power loss
UR - http://www.scopus.com/inward/record.url?scp=85172009193&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-5844-3_15
DO - 10.1007/978-981-99-5844-3_15
M3 - Conference contribution
AN - SCOPUS:85172009193
SN - 9789819958436
T3 - Communications in Computer and Information Science
SP - 206
EP - 219
BT - International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Proceedings
A2 - Zhang, Haijun
A2 - Ke, Yinggen
A2 - Mu, Yuanyuan
A2 - Wu, Zhou
A2 - Hao, Tianyong
A2 - Zhang, Zhao
A2 - Meng, Weizhi
PB - Springer Science and Business Media Deutschland GmbH
T2 - Proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023
Y2 - 7 July 2023 through 9 July 2023
ER -