Power system scheduling method based on genetic algorithm

Abstract

The invention provides a power system scheduling method based on a genetic algorithm. The method is used for solving the problem that a centralized control method cannot meet the scale requirement of an existing power grid. The method comprises the following steps: establishing an electric power system economic dispatching model according to an optimization problem of electric power system economic dispatching; performing element reduction processing on the target function and the motor node active power output constraint equation by using the active power balance equation to obtain a new economic dispatching model after element reduction; and solving the new economic dispatching model by using a genetic algorithm, and realizing active power supply and demand balance while satisfying each motor node constraint equation, so that an obtained optimal value is an optimal dispatching scheme. According to the method, a plurality of individuals in a group can be processed at the same time by utilizing the genetic algorithm, a plurality of solutions in a search space are evaluated, and the risk of falling into a local optimal solution is reduced; the globally optimal solution meeting the set conditions can be quickly obtained, the operation cost of the power system is saved, and a new calculation method is provided for economic dispatching of the power system.

Description

technical field [0001] The invention relates to the technical field of power system control and optimization, in particular to a genetic algorithm-based power system scheduling method. Background technique [0002] Power system economic dispatch refers to a dispatch method that uses energy and equipment reasonably to ensure reliable power supply to users with the lowest power generation cost or fuel cost on the premise of satisfying safety and power quality. The scheduling problem belongs to the optimization problem, that is, how to use the existing resources to minimize the cost of power generation under the premise of satisfying the safety production and the balance between power supply and demand. The traditional solution is centralized control. The control center sends commands to each motor node, and each motor node performs related operations after receiving the command, so as to meet the balance of power supply and demand. However, with the continuous expansion of th...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problem that the existing centralized control method cannot meet the scale requirements of the existing power grid, the present invention proposes a power system scheduling method based on a genetic algorithm, which uses the genetic algorithm to solve the economic scheduling problem of the power system, and can quickly search to find the optimal solution. At the same time, it can meet the balance of power supply and demand, and realize the reasonable economic dispatch of the power system.

Images