Solution of hydrothermal scheduling of power systems with inclusion of pumped-Storage hydropower using qpso algorithm
International Journal of Development Research
Solution of hydrothermal scheduling of power systems with inclusion of pumped-Storage hydropower using qpso algorithm
Received 27th August, 2021; Received in revised form 10th September, 2021; Accepted 21st October, 2021; Published online 23rd November, 2021
Copyright © 2021, Clóvis C. Melo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Hydrothermal scheduling is a relevant stage of power system operation planning, whose objective is to minimize the operation cost during the demand horizon. In this paper the hydrothermal scheduling of electric power systems including the modelling of pumped-storage hydropower (PSH) is solved using the quantum-behaved particle swarm optimization (QPSO) algorithm. Simulation results with a test system composed of ten thermal generators and a pumped-storage hydroelectric power plant confirm the applicability of the proposal.
