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

Charging and discharging control method of energy storage system in wind farm based on Kalman filter

A charge and discharge control and Kalman filter technology, applied in the field of charge and discharge control of energy storage systems, can solve problems such as large capacity of energy storage systems, and achieve the effects of smooth output power, cost reduction, and capacity reduction

Active Publication Date: 2015-08-19
TSINGHUA UNIV +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a charging and discharging control method for an energy storage system in a wind farm based on Kalman filtering, so as to ensure the smooth effect of the output power of the wind power generation system and overcome the problem of large capacity of the energy storage system required in the existing method. question

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
  • Charging and discharging control method of energy storage system in wind farm based on Kalman filter
  • Charging and discharging control method of energy storage system in wind farm based on Kalman filter
  • Charging and discharging control method of energy storage system in wind farm based on Kalman filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The charging and discharging control method of the energy storage system in the wind farm based on the Kalman filter proposed by the present invention comprises the following steps:

[0033] (1) At time k-1, calculate the a priori estimated value (P O ) k|k-1 and the calculation error covariance P of the joint output power k|k-1 A priori estimate of :

[0034] (P O ) k|k-1 =(P O ) k-1 ,

[0035] P k|k-1 =P k-1 +Q,

[0036] Among them, P O is the combined output power of the wind power generation system and the energy storage system in the wind farm, (P O ) k-1 is the posterior estimated value of the joint output power of the wind power generation system and the energy storage system in the wind farm at time k-1, P is the calculation error covariance of the joint output power, P k-1 is the posterior estimate of the calculation error covariance of the joint output power at time k-1, Q is the process excitation noise covariance, Q=1×10 -4 , the combined outpu...

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 method for controlling charging and discharging of an energy storage system in a wind power plant based on Kalman filtering, and belongs to the technical field of controlling over power systems. The method comprises the steps of firstly calculating a prior estimated value of the combined output power of a wind power generation system and the energy storage system in the wind power plant at the time k, and a prior estimated value of the calculation error covariance, calculating the current power fluctuation quantity of the wind power generation system, determining an observation noise covariance value according to the current power fluctuation quantity, correcting the prior estimated value of the combined output power according to a measured value of the power of the wind power generation system at the time k, obtaining a posterior estimated value and a posterior estimated value of the calculation error covariance, and calculating the upper limit and the lower limit of the output power of the energy storage system in the wind power plant at the time k according to the residual energy and the limit value of the output power of the energy storage system. According to the method, the condition of wind power fluctuation and the condition of the energy and power of the energy storage system are considered comprehensively, and parameters of a filer are adjusted in a self-adaption mode so that the better filtering effect can be achieved, and meanwhile the needed capacity of the energy storage system can be reduced.

Description

technical field [0001] The invention relates to a method for controlling charging and discharging of an energy storage system in a wind farm based on a Kalman filter, and belongs to the technical field of power system control. Background technique [0002] The fluctuation and uncertainty of wind turbine output also make the safe and stable operation of the power system face severe challenges. With the increase of grid-connected capacity, its impact is becoming more and more significant. After wind power is connected to the grid, it is easy to cause system power imbalance, frequency deviation and other problems. Configuring energy storage systems in wind farms to smooth wind power output can effectively reduce the adverse effects of wind power fluctuations and uncertainties on grid operation. [0003] Due to the relatively high cost of the energy storage system, the energy storage capacity configured in the wind farm is often limited. It is necessary to set a reasonable char...

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 Patents(China)
IPC IPC(8): H02J3/28
CPCY02E10/76Y02E70/30
Inventor 袁志昌张百华陆超郭海峰徐罕晨李勇琦陈满
Owner TSINGHUA UNIV
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