Self-adaptive adjusting reactive output distributed photovoltaic power generation control method

A distributed photovoltaic, self-adaptive adjustment technology, applied in the direction of single-network parallel feeding arrangement, etc., can solve the problems of unsatisfactory reactive power compensation optimization effect and poor power quality, so as to improve flexibility and power quality, and the optimization effect is obvious , Improve the effect of stability and reliability

Active Publication Date: 2015-12-30
XUJI GRP +1
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a distributed photovoltaic power generation control method for adaptively adjusting reactive power output. The particle swarm algorithm is used to optimize the reactive power of photovoltaic participating in the output, which solves the problem of traditional reactive power compensation. The optimization effect is not ideal, leading to the problem of poor power quality

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
  • Self-adaptive adjusting reactive output distributed photovoltaic power generation control method
  • Self-adaptive adjusting reactive output distributed photovoltaic power generation control method
  • Self-adaptive adjusting reactive output distributed photovoltaic power generation control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0025] A distributed photovoltaic power generation control method for adaptively adjusting reactive power output, the steps are as follows:

[0026] Step (1), photovoltaic power is connected to the distribution network system in the area, and the photovoltaic power is involved in absorbing or emitting reactive power. According to the sunshine intensity, temperature and local load data in the area, the output power value of photovoltaic power is calculated and obtained The upper limit of the photovoltaic output reactive power.

[0027] Step (2), using the particle swarm optimization algorithm to optimize the reactive power control in the distribution network system; wherein, the position of the reactive power compensation device and the speed of the gear change are used as the initial position and speed in the particle swarm optimization algori...

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 self-adaptive adjusting reactive output distributed photovoltaic power generation control method. The method comprises the following steps: accessing photovoltaic power into a distribution network system in an area, wherein the photovoltaic power participates in absorbing or sending reactive power; calculating the output power value of the photovoltaic power according to the sunlight intensity, temperature and local load data, and solving the upper limit value of the reactive power output by the photovoltaic power; optimizing reactive power control in the distribution network system through setting the initial value and an objective function by use of the particle swarm algorithm. The self-adaptive adjusting reactive output distributed photovoltaic power generation control method optimizes the reactive power output by the photovoltaic power through the particle swarm algorithm, thereby effectively solving the problem of poor power quality.

Description

technical field [0001] The invention relates to a distributed photovoltaic power generation control method for adaptively adjusting reactive power output, and relates to the field of reactive power optimization and control of power systems. Background technique [0002] Solar photovoltaic power generation, as a clean and efficient way of generating electricity, has been widely concerned and favored by people in recent years. However, due to the strong randomness and discontinuity of photovoltaic power generation, when a large number of photovoltaics are connected to the power distribution system, the complexity of the operation control of the power distribution system will increase significantly, and sometimes it will even cause the load distribution of the entire distribution network to change dramatically. Large changes, which will have an impact on the loss of distribution lines and the voltage of the distribution network, as well as the operational safety and economy 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): H02J3/50
Inventor 李斌王林薄志谦王敬朋赵成功马仪成
Owner XUJI GRP
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap