Water supply-power generation-ecological multi-objective scheduling graph optimization method based on ecological flow

Abstract

The invention provides a water supply-power generation-ecological multi-objective scheduling graph optimization method based on ecological flow. The method comprises the following steps: 1, collectingreservoir long-series reservoir inflow runoff data, water demand data of a water supply area, downstream river channel ecological base flow data and an existing conventional scheduling graph; 2, determining a downstream river long-series ecological flow threshold interval by adopting a month-by-month frequency method; 3, constructing a water supply-power generation-ecological multi-objective scheduling graph optimization model; and 4, solving the optimization model by adopting an 'optimization-simulation' technology to obtain an optimization scheduling graph, and determining various benefit indexes and a reservoir operation process. According to the invention, the water supply-power generation-ecological multi-target scheduling graph optimization method combining the ecological flow threshold interval is proposed for the first time. The method can guarantee that the power generation flow, the discharge flow and the water supply amount are optimal scheduling results after power generation, ecology and water supply benefits are comprehensively considered, and a new thought is provided for achieving balanced coordination among multiple targets of reservoir water supply, irrigation, ecology and power generation.

Description

technical field [0001] The invention belongs to the field of multi-objective optimal scheduling of reservoirs, in particular to a water supply-power generation-ecological multi-objective scheduling graph optimization method based on ecological flow intervals. Background technique [0002] Dispatching charts are widely used in the practice of guiding reservoir operation due to their convenience in making and simple operation. However, conventional dispatching charts are usually obtained by performing reverse time series calculations on historical runoff series and drawing upper and lower envelopes, which lack theoretical support. And it only focuses on water supply or power generation goals, and pays limited attention to ecological goals. In order to make up for the deficiency of conventional dispatching diagrams, some scholars use optimization algorithms (such as particle swarm optimization, genetic algorithm, dynamic programming, etc.) to optimize conventional dispatching l...

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Problems solved by technology

[0006] The above prior art has made certain improvements to the scheduling diagram, but the following problems have not been considered: in the process of establi

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