Method for expansion planning of power transmission network

Abstract

The invention discloses a method for expansion planning of a power transmission network, which relates to the technical field of power transmission network plan and evolutionary computation. The method comprises the following steps of: initializing parameters and acquiring an initial position and an objective function value of each monkey in a monkey group; executing the crawling process of the monkey group according to the initialized parameters, the initial positions and the objective function values; executing the climbing process of the monkey group; judging whether a termination criterion is satisfied, if so, ending the process; otherwise, executing the crawling process. Because the method adopts two crawling processes with strides and small steps and the climbing process, and introduces a gazing jump process, a cooperative process and a random disturbance mechanism, the method overcomes the defect that a monkey group algorithm can only solve the problem of continuous optimization, and solves mixed-integer optimization problems of the expansion planning of the power transmission network; besides, the method has the advantages of simple implementation, quick computation speed and stronger robustness.

Description

technical field The invention relates to the technical field of transmission network planning and evolutionary calculation, in particular to a transmission network expansion planning method. Background technique Transmission network expansion planning is an important part of power system planning. Its main task is to determine the location and quantity of new transmission lines on the basis of the existing grid structure based on the power supply planning scheme and predicted load level in the planning level year, so as to To ensure the economical and reliable operation of the power system. A reasonable transmission network expansion planning scheme is of great significance to the safe operation of the power system and the optimal allocation of power resources. The transmission network expansion planning problem is a large-scale mixed integer optimization problem in mathematics, and modern heuristic methods are usually used to solve this technical problem in the prior art....

AI Technical Summary

Problems solved by technology

Genetic algorithm, particle swarm algorithm and ant colony algorithm must have a large population size when solving large-scale problems, which will lead to longer calculation time; on the contrary, if the population size is too small, the solution process will easily fall into a local optimum. Excellent, it is difficult to find the optimal planning scheme; compared with other evolutionary methods, although the monkey swarm algorithm has a fast calculation speed, this method can only solve continuous optimization problems, and for the mixed integer optimization problem of transmission network expansion planning It cannot be solved, which greatly limits the practical application field and application value of this method

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