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

Load optimization control method based on hybrid energy storage

A technology of load optimization control and hybrid energy storage, which is applied in the direction of load balancing of AC networks, etc., can solve the problems of lack of integrated control method between storage and load, insufficient combination, and reduce the configuration capacity requirement of hybrid energy storage system, so as to improve flexibility. and construction economy, the effect of simple realization and low frequency

Active Publication Date: 2014-12-17
STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST +1
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the microgrid, the combination of load, energy storage, and distributed power supply operation control is not close enough, and there is a lack of integrated control method between storage and load, so as to reduce the dependence of microgrid on energy storage system and reduce the configuration of hybrid energy storage system. capacity requirements

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
  • Load optimization control method based on hybrid energy storage
  • Load optimization control method based on hybrid energy storage
  • Load optimization control method based on hybrid energy storage

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0037] The load optimization control method based on hybrid energy storage in this embodiment includes three parts: optimization target setting, constraint condition setting and model solution.

[0038] The optimization goal setting includes operation control goals and economic goals; the constraint condition setting includes power balance constraints, maximum power constraints, load switching time interval constraints, and load user experience constraints; the model is solved by a two-stage solution to obtain the hybrid energy storage Power value and load switching number.

[0039] (1) The operation control target is set as:

[0040] min J n = Σ i = 1 n | x i k + 1 - x i k ...

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 load optimization control method based on hybrid energy storage. The load optimization control comprises three parts, namely optimization target setting, constraint condition setting and model solution, wherein an operation control target and an economic target are involved in optimization target setting; power balance constraint, maximum power constraint, load switching time interval constraint and load user experience constraint are involved in constraint condition setting; for model solution, a hybrid energy storage power value and a load switching number can be obtained by use of a two-section solution method. The load optimization control method based on hybrid energy storage can be applied to the assessment and verification of the microgrid control technology, and the method is reasonable, simple to realize and capable of meeting the practical requirements of microgrid simulation experiments and technical verification. The load optimization control method based on hybrid energy storage is applicable to the verification of the energy storage technology of a scientific research institution and an enterprise.

Description

technical field [0001] The invention relates to a load optimization control method based on hybrid energy storage, which belongs to the technical field of electric power system microgrid. Background technique [0002] Supercapacitors and batteries are typical representatives of power-type energy storage components and energy-type energy storage components. They have strong complementarity in key characteristics such as power density, energy density, cycle life, and high and low temperature performance. Mixing the two It has the potential to greatly improve the performance of energy storage systems. [0003] The output power of the hybrid energy storage system is linearly adjustable, but its adjustment range is narrow, which is limited by cost; the adjustable capacity of the controllable load is large, but its adjustable power is stepped. How to realize the integrated control of the two is urgent issues that need resolving. [0004] The current research suppresses the 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
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/28
Inventor 曾伟孙旻范瑞祥
Owner STATE GRID JIANGXI ELECTRIC POWER CO LTD 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