Hybrid energy storage capacity optimization method

A technology of capacity optimization and hybrid energy storage, which is applied in the direction of electric energy storage system, wind power generation, energy storage, etc., can solve the problem that it is difficult to simultaneously stabilize the high-frequency offset component and low-frequency offset component of wind power, so as to improve the economy Effect

Pending Publication Date: 2022-03-04
ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the output power of wind power, it is difficult for a single energy storage device to simultaneously stabilize the high-frequency offset components and low-frequency offset components of wind power output power

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
  • Hybrid energy storage capacity optimization method
  • Hybrid energy storage capacity optimization method
  • Hybrid energy storage capacity optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below in conjunction with accompanying drawing.

[0034] For a hybrid energy storage capacity optimization method, the method of hybrid energy storage of batteries and flywheels is used, and the global optimal capacity and optimal economic cost of batteries and flywheels are obtained through the ACPSO algorithm, in order to ensure that wind power fluctuations can be effectively stabilized. At the same time, the economy is improved. The present invention provides a hybrid energy storage capacity optimization method as shown in the figure. Its function is to include the following steps:

[0035] a. Based on the output power of the wind farm in a certain period of time, calculate the expected stabilization target power in the same period;

[0036] b. Use the low-pass filtering algorithm to process the wind power deviation value to obtain the low-frequency deviation component, and then calculate the high-frequency deviation co...

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 the technical field of hybrid energy storage capacity optimization, in particular to a hybrid energy storage capacity optimization method. Comprising the following steps: a, calculating expected stabilizing target power in the same period through output power of a wind power plant in a certain period; b, a low-pass filtering algorithm is adopted to process the wind power deviation value to obtain a low-frequency deviation component and a high-frequency deviation component, storage battery energy storage stabilizes the low-frequency deviation component, and flywheel energy storage stabilizes the high-frequency deviation component; c, constructing a capacity optimization configuration model taking economical efficiency as a target function; d, outputting the global optimal capacity and the optimal economic cost of the storage battery and the flywheel; and e, determining a charging and discharging strategy of the hybrid energy storage device and calculating the correctness and effectiveness of the method.According to the hybrid energy storage capacity optimization method, hybrid energy storage can be achieved through the storage battery and the flywheel, the global optimal capacity and the optimal economic cost of the storage battery and the flywheel are obtained through the ACPSO algorithm, and economical efficiency is guaranteed.

Description

technical field [0001] The invention relates to the technical field of hybrid energy storage capacity optimization, in particular to a hybrid energy storage capacity optimization method. Background technique [0002] Due to the volatility, randomness, and intermittent nature of wind power, the output power of wind power fluctuates greatly. Directly integrating wind power into the grid will have a huge impact on the safe and stable operation of the grid. Energy storage technology has the advantages of large instantaneous power throughput, fast response speed, and high adjustment accuracy. Energy storage technology will have a very promising prospect in the field of wind power generation. When the output power of wind power is high, the energy storage device is charged to store excess power, and when the output power of wind power is low, the energy storage device is discharged to supplement the insufficient power, so as to stabilize the fluctuation of wind power output power....

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
IPC IPC(8): H02J3/32H02J3/30H02J3/38H02J15/00
CPCH02J3/32H02J3/30H02J3/38H02J15/007H02J2300/28Y02E10/76Y02E60/16Y02E70/30
Inventor 郭强胡阳房方潘捷薛志伟付文华白志刚杨琦芦晓辉
Owner ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER
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