Universal station scheduling method and device for adaptive disturbance quantum particle swarm

A quantum particle swarm and self-adaptive technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as expensive solvers, limited algorithm universal energy station problems, personalized applications, and lack of algorithm research

Active Publication Date: 2019-12-27
ENNEW DIGITAL TECH CO LTD
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010]①Aiming at the optimal dispatching problem of the multi-energy station, the existing technology lacks the algorithm research suitable for the promotion of engineering products;
[0011]② Mature solvers such as CPLEX and Gurobi are not only expensive, but also limit the personalized application of the algorithm to the universal energy station problem
[0012]③Aiming at the problem of "premature convergence" of the particle swarm algorithm, although scholars have proposed many improvement methods, there is a lack of improvement research and research on the practical aspects of the pan-energy station engineering project. application

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Universal station scheduling method and device for adaptive disturbance quantum particle swarm
  • Universal station scheduling method and device for adaptive disturbance quantum particle swarm
  • Universal station scheduling method and device for adaptive disturbance quantum particle swarm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0150] According to yet another embodiment of the present invention, the present invention also relates to a universal energy station scheduling device for adaptively disturbing quantum particle swarms, which includes:

[0151] The modeling unit is used to establish the energy efficiency model of the pan-energy station, and the energy efficiency model aims at maximizing the economic benefits of the pan-energy station; setting algorithm parameters, including group size, particle dimension, and particle swarm position;

[0152] The objective function construction unit is used to construct the objective function, and the objective function is aimed at the minimum total system cost of the universal energy station; under initial conditions, the fitness degree Fitness of each particle is calculated according to the objective function, and determined according to the particle swarm optimization algorithm And record the individual optimal position Pbest of the particle, the global opti...

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

PUM

No PUM Login to view more

Abstract

The invention relates to a universal station scheduling method and device for an adaptive disturbance quantum particle swarm. The method comprises the following steps: establishing an energy efficiency model, setting algorithm parameters, and initializing particle positions; constructing a target function, calculating fitness Fitness of each particle according to the target function under an initial condition, and determining and recording an individual optimal position Pbest of each particle, a global optimal position gpbest of a group and an optimal median position S (t) according to a particle swarm optimization algorithm; updating the particle speed, recalculating the fitness Fitness of the particles, and updating the individual optimal position pbest of the particles, the global optimal position gpbest of the population and the average optimal position S(k); judging whether the algorithm meets a termination condition or not, if so, outputting an optimal scheduling result, otherwise, calculating an average fitness deviation delta of the group, judging whether delta is smaller than a threshold value or not, and if not, repeating the process; otherwise, executing disturbance operation on the group and then repeating the process. The method effectively reduces the engineering application cost.

Description

technical field [0001] The invention relates to the field of energy, in particular to a method for dispatching a universal energy station for adaptively disturbing quantum particle swarms. Background technique [0002] Under the dual pressure of energy crisis and environmental pollution, it is of great significance to the optimization of the operation and overall performance of the integrated energy system, and it is an important issue to be solved urgently for the further development of the regional integrated energy system in my country. Tailor-made according to customer needs, using the coupling mechanism of different forms of energy such as electricity, gas, cold, and heat in space and time to achieve multi-energy complementarity. Such an efficient distributed energy system is called a universal energy station. With its advantages of high energy efficiency and good environmental benefits, the universal energy station has become one of the important research directions of...

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

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06Q10/04G06Q50/06G06N3/006
Inventor 代景龙
Owner ENNEW DIGITAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products