An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants

作者：

Highlights：

• An efficient Multi-objective Evolutionary Swarm Hybrid algorithm is proposed.

• Development of a nonlinear model to operational control of Hydro-power plants.

• Hydro-power plant data regression obtains the maximum efficiency of the power units.

• Efficiency energy goals achieved an increasing the profit in the energy production.

摘要

•An efficient Multi-objective Evolutionary Swarm Hybrid algorithm is proposed.•Development of a nonlinear model to operational control of Hydro-power plants.•Hydro-power plant data regression obtains the maximum efficiency of the power units.•Efficiency energy goals achieved an increasing the profit in the energy production.

论文关键词：Cascading hydro-power plant modeling,Multi-objective optimization,Swarm intelligence,MESH,Energy production

论文评审过程：Received 8 April 2021, Revised 22 June 2021, Accepted 18 July 2021, Available online 28 July 2021, Version of Record 30 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115638