Power grid optimal power flow problem solving method based on distributed crisscross algorithm

A technology of crossover algorithm and optimal power flow, applied in computing, genetic model, genetic law, etc., can solve the problem of computing time bottleneck and long algorithm optimization time, so as to enhance flexibility, reduce communication overhead, and improve computing efficiency. Effect
CN112100907APending Publication Date: 2020-12-18GUANGDONG UNIV OF TECH
1 Cites 7 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
GUANGDONG UNIV OF TECH
Publication Date
2020-12-18

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a power grid optimal power flow problem solving method based on a distributed crisscross algorithm, and the method employs a local area network computer group system as a distributed computing environment of the crisscross algorithm, and aims at realizing high parallelism of population crisscross operation and fitness calculation by using the advantages of parallel computing of the crisscross algorithm and the interactivity and mobility of a multi-agent system . According to each evolution of the original crisscross algorithm population, a new population is generated through alternation of transverse crossover and longitudinal crossover, and then the current optimal value of an individual is reserved according to a greedy principle, so that reduction of communication overhead is facilitated, the calculation efficiency is improved, and meanwhile, the possibility is provided for enhancing the flexibility of distributed parallel calculation of the crisscross algorithm. The multi-agent parallel computing platform based on the crisscross algorithm is developed by combining the characteristics of non-global control of the crisscross algorithm and the advantage ofmulti-agent system distribution.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a method for solving the optimal power flow problem of a power grid, in particular to a method for solving the optimal power flow problem of a power grid based on a distributed criss-cross algorithm. Background technique

[0002] With the rapid development of the motherland, the scale of the power grid has expanded rapidly, which has brought huge challenges to the regulation and control of the power grid company. In the past two decades, the swarm intelligence optimization algorithm has become a research hotspot for solving the optimal power flow problem of the power grid due to its simple structure and no excessive restrictions on the objective function and constraints. There are problems of large amount of calculation and slow speed, so constructing parallel calculation is an effective way to improve its calculation efficiency. However, since most swarm intelligence optimization algorithms such as particle swarm optimization...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More