TY - GEN
T1 - Economic Dispatch Steam Power Plant Jeranjang and Sambelia Using Hybrid Algorithm Particle Swarm Optimization and Simulated Annealing
AU - Harjian, Muhammad Rivaldi
AU - Penangsang, Ontoseno
AU - Aryani, Ni Ketut
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper discusses optimization in steam power plants for power selection which is generated on each generator with the aim of obtaining a fee that is economical, especially in the Lombok Electricity System, by paying attention to load power on individual generators. This paper proposes a hybrid particle swarm optimization and simulated annealing (PSO-SA) to solve economic Dispatch. Economic Dispatch is a method of dividing the load on power system generating units optimally at system prices and loads. Economic Dispatch is used to plan the outputs of all available generation units in the power system so that fuel costs are kept to a minimum and system restrictions are met. This study uses real data from PLN company and simulation from the algorithm Particle Swarm optimization (PSO) to compare the simulation with the PSO-SA algorithm. From this study can be concluded at Jeranjang and Sambelia steam power plants using the PSO-SA method provides better solution performance compared to the PSO method, with a total cost is $ 173.860,69 for 24 hours, whereas if you use the PSO method, it is $ 174.006,39 for 24 hours. The simulation results show that the method PSO-SA and PSO methods obtained better results when compared to the real data system in the field of PT. PLN.
AB - This paper discusses optimization in steam power plants for power selection which is generated on each generator with the aim of obtaining a fee that is economical, especially in the Lombok Electricity System, by paying attention to load power on individual generators. This paper proposes a hybrid particle swarm optimization and simulated annealing (PSO-SA) to solve economic Dispatch. Economic Dispatch is a method of dividing the load on power system generating units optimally at system prices and loads. Economic Dispatch is used to plan the outputs of all available generation units in the power system so that fuel costs are kept to a minimum and system restrictions are met. This study uses real data from PLN company and simulation from the algorithm Particle Swarm optimization (PSO) to compare the simulation with the PSO-SA algorithm. From this study can be concluded at Jeranjang and Sambelia steam power plants using the PSO-SA method provides better solution performance compared to the PSO method, with a total cost is $ 173.860,69 for 24 hours, whereas if you use the PSO method, it is $ 174.006,39 for 24 hours. The simulation results show that the method PSO-SA and PSO methods obtained better results when compared to the real data system in the field of PT. PLN.
KW - Economy dispatch
KW - Jeranjang steam powerplant
KW - Lagrange Function
KW - PSO-SA
KW - Sambelia steam power plant
UR - http://www.scopus.com/inward/record.url?scp=85171153703&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221137
DO - 10.1109/ISITIA59021.2023.10221137
M3 - Conference contribution
AN - SCOPUS:85171153703
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 816
EP - 821
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -
