Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method and system for controlling power of battery energy storage power station based on ant colony algorithm

A technology of battery energy storage and ant colony algorithm, which is applied in computing, computing models, biological models, etc., can solve problems such as the impact of battery life, and achieve the effects of easy implementation and mastery, energy management and real-time control

Active Publication Date: 2013-10-23
CHINA ELECTRIC POWER RES INST +2
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] From the perspective of battery energy storage, overcharging and overdischarging will affect the life of the battery

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
  • Method and system for controlling power of battery energy storage power station based on ant colony algorithm
  • Method and system for controlling power of battery energy storage power station based on ant colony algorithm
  • Method and system for controlling power of battery energy storage power station based on ant colony algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The control method and system of the present invention will be further described in detail below by taking a lithium battery energy storage power station as an example, with reference to the drawings and specific embodiments.

[0037] Such as figure 1 As shown, the lithium battery energy storage power station includes lithium battery energy storage units connected in parallel, and each energy storage unit includes a bidirectional converter and a plurality of lithium ion battery packs arranged in parallel. Perform functions such as switching control of the corresponding lithium-ion battery pack and charge and discharge power commands.

[0038] figure 2 It is an implementation block diagram of a real-time power distribution control method and system for a lithium battery energy storage power station based on an ant colony strategy.

[0039] Such as figure 2 As shown, the control system of this example is realized by the communication module 10 , the data storage and ...

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 a method and a system for controlling power of a battery energy storage power station based on an ant colony algorithm. The method comprises the steps of: A, reading relevant data of the battery storage power station in real time and storing the data; B, determining an energy storage unit participating in power distribution of the battery energy storage power station in real time through the ant colony algorithm; C, calculating a power command value of the energy storage unit participating in the power distribution; and D, storing the power command value calculated in the step C of the energy storage unit and outputting the power command value. The system comprises a communication module, a data storage module, a management module, an ant colony algorithm control module and a power distribution control module. The method and the system for controlling complete power control of the battery energy storage power station based on the ant colony algorithm through the modules in an industrial personal computer, transmit data to an external monitoring platform so as to be monitored, and can realize the purposes of effectively controlling and distributing the real-time power of megawatt-grade battery energy storage power stations.

Description

technical field [0001] The invention belongs to the technical field of smart grid and energy storage and conversion, and specifically relates to an ant colony algorithm-based power control method and system for a battery energy storage power station, and is especially suitable for grid-connected systems of large-scale distributed and centralized energy storage power stations The real-time power and energy management method of the battery energy storage unit. Background technique [0002] With the continuous development of batteries and their integration technologies, the application mode of large-scale distributed and centralized battery energy storage power stations will gradually become a preferred solution. Several large-capacity energy storage batteries commonly used in battery energy storage systems include sodium-sulfur batteries, flow batteries, and lithium-ion batteries. [0003] By reasonably controlling the converters connected to the energy storage equipment, the...

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): H02J3/32G06N3/00
Inventor 李相俊惠东
Owner CHINA ELECTRIC POWER RES INST
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
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