Power system economic load distribution method based on improved whale algorithm

Abstract

The invention discloses a power system economic load distribution method based on an improved whale algorithm. The power system economic load distribution method comprises the steps of establishing a corresponding constraint condition expression according to the requirement of a power system economic load distribution problem in practice; establishing an objective function of the power system economic load distribution problem according to the constraint condition, and converting an actual application problem into a solution of a nonlinear programming problem; proposing an improved whale optimization algorithm, and performing optimization solution on the power system economic load distribution problem by utilizing the algorithm; and updating the position by adopting a self-adaptive weight strategy through the improved whale optimization algorithm, updating the position again by an individual through a random differential variation strategy, obtaining the final position before and after the change, and further obtaining the optimal result of economic load distribution of the power system. In order to improve the search capability of the whale optimization algorithm, an adaptive weight and differential variation strategy is introduced, so that the algorithm can perform global search in the early stage and perform accurate local search in the later stage.

Description

technical field [0001] The invention relates to the research field of electric power systems, in particular to an economic load distribution method of electric power systems based on an improved whale algorithm. Background technique [0002] The ELD problem refers to optimizing the start-stop plan of the unit within a certain operating cycle. The load is distributed among the operating units under different constraints, so that the total operating cost of the value function is minimized and the profit is maximized. This is a nonlinear optimization problem. Traditional solutions include classical mathematical methods such as linear programming algorithms and dynamic programming methods. The former can only solve linear problems, and it is necessary to linearize the objective function and constraints of the problem model in advance, which will affect the accuracy of the solution results to a certain extent. Problem models with constraints related to factors such as these ar...

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Problems solved by technology

[0003] The high optimization accuracy and speed of the WOA series of algorithms and their good performance in large-scale optimization problems make them a good choice for solving the ELD problem. However, the whale optimization algorithm tends to fall into local optimum when it is developed locally in the later stage, and premature convergence occurs.

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