Reservoir group dual-objective optimization scheduling method based on lion group algorithm

Abstract

The invention discloses a reservoir group dual-objective optimization scheduling method based on a lion group algorithm, and the method specifically comprises the following steps: 1, building a lion group algorithm model based on an NSGA-II algorithm framework and a lion group social structure; 2, establishing a reservoir group dual-target optimization scheduling model based on a lion group algorithm; 3, determining a scheduling period and preparing model input data; and 4, solving to obtain a dual-objective optimization scheduling scheme set. The problems that in the prior art, the algorithm operation speed is low, the individual selection pressure is small, and optimization resources cannot be concentrated on dual-target optimization are solved. In reservoir group double-objective optimization scheduling, compared with an existing method, the optimization scheduling method based on the lion group algorithm can obtain a better optimization scheduling scheme set in a shorter time, and provides powerful support for scheduling decision making.

Description

technical field [0001] The invention belongs to the technical field of optimal dispatching of reservoir groups, and provides a dual-objective optimal dispatching method for reservoir groups based on a lion group algorithm. Background technique [0002] Reservoir group optimal scheduling problem is a kind of multi-objective, nonlinear, multi-constraint complex engineering optimization problem. One of the core difficulties in dealing with this problem is the realization of multi-objective optimization technology. For example, the multi-objective evolutionary algorithm based on the NSGA-II framework is The existing mainstream multi-objective optimization technology is widely used in the field of multi-objective optimization and dispatching of reservoir groups. The existing technology has the problems of slow algorithm operation speed and low individual selection pressure. Moreover, because it belongs to the multi-objective optimization algorithm, the optimization resources of ...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a dual-objective optimal scheduling method for reservoir groups based on the lion group algorithm, which solves the problems of slow algorithm operation speed, low individual selection pressure and inability to focus on dual-objective optimization in the prior art.

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