Multi-objective ecological operation of cascade reservoirs based on MGCL-PSO algorithm. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Wang, T; Mo, L; Shen, Q; Zou, Y B; Yi, M
• Is Part Of: IOP conference series. Volume 612:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: cascade reservoir group -- ecological operation -- MGCL-PSO algorithm -- multi-objective optimization; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/612/1/012025
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The reasonable utilization of river water resources requires the joint operation of cascade reservoirs. Aiming at power generation and ecological environment protection, taking the Qingjiang cascade reservoir group as the research object, a multi-objective optimization model for maximum power generation considering ecological base flow and minimum ecological flow changed is established. The results of the multi group cooperation operation particle swarm optimization (MGCL-PSO) model based on population cooperation show that the multi-objective of power generation and ecology can achieve a better balance by slightly reducing the power generation. Several schemes with good convergence are obtained from the calculation results, which provide a reference for the operation of cascade reservoirs.