Optical storage system optimization control method based on Kalman filtering and model predictive control

A technology of model predictive control and Kalman filtering is applied in the control field of combined optimization of Kalman filtering and model predictive control in a photovoltaic-storage combined power generation system. , the effect of output power stabilization

Active Publication Date: 2019-08-23
STATE GRID JILIN ELECTRIC POWER COMPANY LIMITED +4
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the energy storage system can absorb or release energy dynamically, using the energy storage system in a photovoltaic power station can effectively stabilize the fluctuation of photovoltaic power. The use of energy storage technology can effectively stabilize the fluctuation of photovoltaic power, but its cost restricts the large-scale application of energy storage technology.

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
  • Optical storage system optimization control method based on Kalman filtering and model predictive control
  • Optical storage system optimization control method based on Kalman filtering and model predictive control
  • Optical storage system optimization control method based on Kalman filtering and model predictive control

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0042] Optimal control method for photovoltaic storage system based on Kalman filtering and model predictive control, combined with figure 1 , figure 2 as well as image 3 , the specific embodiments of the present invention are as follows:

[0043] According to the working principle of the solar-storage combined power generation system, the schematic diagram of the solar-storage system is established;

[0044] Establish the time update equation and state update equation of the combined solar-storage power generation system based on Kalman filter;

[0045] In order to improve the smoothing effect of photovoltaic power fluctuations, the filter adjustment factor λ is introduced into the Kalman filter equation to improve the time update equation and state update equation; the Kalman filter adjusts the filter gain according to the estimated state of the actual output of photovoltaics. When the SOC of the system is at a low level and continues to decrease, in order to avoid over...

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 provides an optical storage system optimization control method based on Kalman filtering and model predictive control and belongs to the technical field of power system optical storage control. The method comprises the steps of: establishing a structural model of an optical storage combined power generation system; establishing, by using an improved Kalman filtering algorithm, the time equation and the state equation of a filter; establishing a mathematical model of the optical storage combined power generation system; performing optimization control on the energy storage systemby using a model predictive control method; combining the Kalman filtering algorithm with the predictive control method to form double-adjustment feedback optimization control, and achieving the closed-loop control of the optical storage combined power generation system by an energy storage state of charge parameter. The method fully utilizes the prediction characteristics of the Kalman filteringand the model predictive control, and predicts and timely controls the optical storage combined system so as to optimize the energy storage system output and the energy storage system state of chargewhile ensuring the stable output power of a photovoltaic power generation system.

Description

technical field [0001] The invention belongs to the technical field of optical-storage storage control technology in power systems, and in particular relates to a control method for combined optimization of an optical-storage storage combined power generation system using Kalman filtering and model predictive control. Background technique [0002] With the development of modern power systems, energy storage technology has been gradually introduced into the power system. Due to its flexible power throughput characteristics, energy storage systems are currently widely used in smooth wind power generation and photovoltaic power generation, peak shaving and valley filling, and frequency modulation. As the proportion of photovoltaic grid-connected increases year by year, the fluctuation of photovoltaic power is not conducive to the stable operation of the grid. The energy storage system is introduced into the photovoltaic power station, and the fluctuation of photovoltaic power ca...

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): H02J3/38H02J3/32
CPCH02J3/383H02J3/32H02J2203/20Y02E70/30Y02E10/56
Inventor 王金行王如伟徐正清马明洋薛凯吴喜军韩晓娟焦日升张俊丰成龙王振浩李国庆林昌年高岩李群英杨选怀贺文彬张革宋嘉鹏李淼王菁曹盛楠
Owner STATE GRID JILIN ELECTRIC POWER COMPANY LIMITED
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