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

Method and system for power control of battery energy storage power station based on genetic algorithm

A technology of battery energy storage and genetic algorithm, which is applied in the field of smart grid and energy storage and conversion, 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, and real-time distribution of total power demand

Active Publication Date: 2015-06-24
CHINA ELECTRIC POWER RES INST +2
View PDF2 Cites 2 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 power control of battery energy storage power station based on genetic algorithm
  • Method and system for power control of battery energy storage power station based on genetic algorithm
  • Method and system for power control of battery energy storage power station based on genetic 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 for a lithium-ion battery energy storage power station based on a genetic algorithm.

[0039] Such as figure 2 As shown, the present invention is realized by a communication module 10 , a data storage and management module 20 , a ge...

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 power control of a battery energy storage power station based on a genetic algorithm. The method comprises the steps of A, reading relevant data of the battery energy 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 genetic algorithm; C, calculating a power command value of the energy storage unit participating in the power distribution; and D, storing the power command value of the energy storage unit participating in the power distribution and outputting the power command value. The system comprises a communication module, a data storage and management module, a genetic algorithm control module and a power distribution control module. The method and the system provided by the invention complete power control of the battery energy storage power station based on the genetic 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 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, in particular to a genetic algorithm-based power control method and system for a battery energy storage power station, and is especially suitable for managing battery power and battery energy in a large-scale energy storage grid-connected system . 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 charging and discharging of the energy storage system can be realized efficiently, which can larg...

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): H02J3/32G06N3/12
CPCY02E40/70Y04S10/50
Inventor 李相俊惠东
Owner CHINA ELECTRIC POWER RES INST
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

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