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

A reactive power optimization method for photovoltaic system based on quantum particle swarm optimization algorithm

A technology of quantum particle swarm and photovoltaic system, applied in the field of reactive power optimization of photovoltaic system based on quantum particle swarm algorithm

Inactive Publication Date: 2019-01-25
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] At present, there is no particularly effective method for applying the quantum particle swarm algorithm to the reactive power optimization of the distribution network containing photovoltaic power stations in the prior art

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 reactive power optimization method for photovoltaic system based on quantum particle swarm optimization algorithm
  • A reactive power optimization method for photovoltaic system based on quantum particle swarm optimization algorithm
  • A reactive power optimization method for photovoltaic system based on quantum particle swarm optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0084] A method for reactive power optimization of photovoltaic systems based on quantum particle swarm algorithm provided by the present invention, such as figure 1 with Figure 4 As shown, it specifically includes the following steps:

[0085] S1 analyzes the impact of grid-connected photovoltaic power plants on the voltage of the distribution network system, including the impact of active power and reactive power of photovoltaic power plants on grid voltage.

[0086] The voltage level of each node in the power grid is determined by the power flow distribution of the power grid. When the system is connected to a photovoltaic power station, it will affect the power flow distribution and cause the voltage of each node to change. The simple circuit of grid-connected photovoltaic power station is as follows: figure 2 shown. figure 2 P i...

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 reactive power optimization method of a photovoltaic system based on a quantum particle swarm algorithm, belonging to the technical field of reactive power regulation of a photovoltaic power station. The method of the invention comprises the following steps: (1) analyzing the influence of grid-connected photovoltaic power station on the voltage of the distribution network system; 2, establishing a mathematical model for optimizing that reactive power compensation of a distribution network of a photovoltaic power station; Step 3, solving the reactive power optimization model of the photovoltaic system by using the quantum particle swarm optimization algorithm. The reactive power optimization method of the photovoltaic system based on the quantum particle swarm algorithm provided by the invention can effectively reduce the active power network loss, obviously increase the voltage value of each node, and enable the distribution network system to run more economically and stably.

Description

technical field [0001] The invention belongs to the technical field of reactive power optimization of photovoltaic power stations, and in particular relates to a reactive power optimization method of a photovoltaic system based on a quantum particle swarm algorithm. Background technique [0002] Due to the limited reserves of fossil energy, non-renewable and highly polluting traditional fossil energy, more and more scholars are devoted to the research of green and pollution-free renewable energy. As a renewable energy source, solar energy resources are widely distributed and inexhaustible, so photovoltaic power generation has received more and more attention and research. The power generation of photovoltaic power generation systems is affected by factors such as climate and seasons, so photovoltaic power generation is unstable. When photovoltaic power generation is integrated into the distribution network, its high penetration rate will lead to an increase in the voltage o...

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): H02J3/50H02J3/38
CPCH02J3/383H02J3/50H02J2203/20Y02E10/56
Inventor 李飞谭思佳
Owner NANJING UNIV OF POSTS & TELECOMM
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