DP-MPSO algorithm based weekly repair plan compiling and optimizing method for power dispatching

Abstract

The invention provides a DP-MPSO algorithm based weekly repair plan compiling and optimizing method for power dispatching, which is characterized by and comprises the following steps: simplifying a power grid equipment repair model into a power charging and loading two-end model; performing a constraint processing to the power grid equipment repair model; breaking down and transforming the problem of repair plan compiling into the problem of an optimized combining of single day superposed load and the installed capacity balance across the power grid; formulating a peak value optimizing and sequencing strategy; converting into a 0 / 1 knapsack problem and through the DP-MPSO algorithm, obtaining the most optimized solution to the peak value; dating back all optimized results of the peak value; inspecting a cross-work period repair ticket optimized set and determining if the acceptance or rejection results of one single cross-work period repair ticket are consistent or not in different work periods. With the method provided by the invention, the goals of repair compiling are concentrated and refined. Being intelligent and high efficient, the plan compiling is added by a DP-MPSO algorithm in the optimization process with the consequence of an improved calculating efficiency.

Description

technical field [0001] The invention relates to the technical field of power system dispatching automation, in particular to a method for preparing and optimizing a power grid dispatching weekly maintenance plan based on a DP-MPSO algorithm. Background technique [0002] With the rapid development of the economy, social electricity consumption has increased rapidly year-on-year, the scale of the power grid has expanded rapidly, and the structure of the power grid has become increasingly complex; the number of power equipment such as buses, transformers, and switches has increased rapidly, which in turn has brought about the safety of power grid equipment and economical operation. security issues. [0003] After the implementation of the strong and smart grid plan, the development of many emerging technologies has put forward new requirements for the maintenance of the power grid, including the power market, distributed power technology and condition-based maintenance, among ...

AI Technical Summary

Problems solved by technology

[0006] (1) The system will measure the impact of grid operation indicators on grid equipment maintenance with multiple objectives, such as system reserve capacity after unit maintenance and shutdown, minimum power shortage of the system during maintenance and other factors, making the maintenance model too cumbersome and difficult maintain

[0007] (2) The sub-problems of superimposed load over-limit decomposition optimization are not independent of each other, and will be affected by the power loss due to overhaul and maintenance

[0008] (3) The PSO algorithm is a random, parallel optimization algorithm, but for functions with multiple local extreme points, it is easy to fall into the local extreme points, and the correct result cannot be obtained

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