Research of the utilization efficiency of non-flood season flood resources by artificial bee colony algorithm based on multi-strategy hybrid search

Abstract

This study aims to investigate the integrated optimization of long-term non-flood season flood dispatching and power generation dispatching and improve the utilization efficiency of non-flood season flood resources. In this study, an artificial bee colony (ABC) algorithm based on a multi-strategy mixed search is supplemented with variable time period characteristics to construct an optimal reservoir operation model with a maximum generating capacity under multiple constraints in a variable time period. The multi-year non-flood season flood operation of the Wanan Reservoir is considered as an example. After optimization, the average annual power generation in the non-flood season was increased by 14.23 million kW·h. The average utilization rate of water resources was increased by 3% over the studied period, and the utilization of flood resources was improved. The ABC optimization algorithm based on a multi-strategy hybrid search could alleviate the contradiction between the selection of the time interval step and the calculation accuracy and convergence speed, and it effectively improved the optimization efficiency and development ability of the standard ABC optimization algorithm. These results can provide suggestions for the improvement of the comprehensive benefits of reservoirs with non-flood floods as an important water resource. HIGHLIGHTS The model with maximum power generation in a variable period is constructed.; Multi-strategy artificial bee colony algorithm is used for reservoir scheduling.; Combine non-flood dispatching with power generation dispatching.; Provide theoretical basis for the utilization of non-flood season flood resources.;

Keywords

• artificial bee colony algorithm
• multi-strategy mixed search
• optimal dispatch of flood control power generation
• variable-period step size
• wanan reservoir