Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A microgrid economic dispatching method based on particle swarm optimization algorithm

A technology of particle swarm optimization and economic scheduling, applied in calculation, calculation model, photovoltaic power generation, etc., can solve the problem that the cost of distributed power generation and environmental pollution cannot be ignored

Inactive Publication Date: 2019-01-15
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the generation cost of distributed power and the pollution to the environment cannot be ignored

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
  • A microgrid economic dispatching method based on particle swarm optimization algorithm
  • A microgrid economic dispatching method based on particle swarm optimization algorithm
  • A microgrid economic dispatching method based on particle swarm optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] figure 1 It is the flow chart of the particle swarm algorithm. Initialize the system parameters. The number of particles is generally 20-40. For most problems, 10 particles can achieve better results, and the value here is 40. The length of the particles, that is, the space dimension, is determined by the optimization problem, here is the number of schedulable distributed power sources. The maximum number of iterations can be set freely, and the value here is 1000. The initial values ​​of particle velocity and position are randomly generated.

[0024] Enter the iterative cycle, from the first iteration to the maximum number of iterations, after each iteration, the individual extremum and the global extremum are obtained and updated according to the comparative fitness value. During each iteration, the particle updates its s...

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 discloses a microgrid economic dispatching method based on a particle swarm optimization algorithm. Particle Swarm Optimization (PSO) algorithm makes full use of its own experience and swarm experience to adjust the state of particles, which can effectively optimize the system parameters. Its advantage lies in solving some optimization problems of continuous functions. In view of theabove situation, particle swarm optimization algorithm is applied to the economic dispatching of micro-grid. Firstly, the mathematical model of micro-power generation is established, and then the economic dispatching model of micro-power grid is established according to the dispatching criterion, and the economic optimal dispatching strategy is put forward. According to the constraint conditions,a micro-grid economic dispatching program based on particle swarm optimization algorithm is compiled. The results show that this algorithm can be used in micro-grid economic dispatching effectively and reasonably to allocate the output of micro-generators and achieve economic dispatching.

Description

technical field [0001] The invention relates to the field of economic scheduling of micro-grids, in particular to a micro-grid economic scheduling method based on particle swarm optimization algorithm. Background technique [0002] As a powerful supplement to the centralized power supply system, the distributed power generation system has certain advantages in terms of the economy of power supply and the degree of pollution to the environment. However, the power generation cost of distributed power and the pollution to the environment cannot be ignored. Connecting distributed power to the grid in the form of a microgrid is the most effective way to maximize the energy efficiency of distributed power. Therefore, the economic dispatch research of microgrid has received the attention of many scholars. [0003] So far, people have applied a variety of algorithms to the economic dispatch optimization research of microgrid, such as genetic algorithm, 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

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38G06N3/00
CPCG06N3/006H02J3/381H02J3/383H02J3/386H02J3/387H02J2203/20Y02E10/56Y02E10/76
Inventor 盛四清黄青青
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com