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

Adaptive micro grid energy storage system energy optimization management method

An energy storage system and energy optimization technology, applied in the energy industry, AC network load balancing, sustainable manufacturing/processing, etc., can solve problems such as peak shaving and valley filling, errors, and discounts on local energy utilization efficiency

Active Publication Date: 2015-11-25
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the current control schemes for distributed power supply use forecast data to realize the charge and discharge control algorithm of energy storage components. If the forecast value is accurate enough, it can better reduce the peak load
However, distributed energy resources are spatially dispersed and numerous in number. In most cases, there is a large error between the predicted value and the actual value. At the same time, it is difficult to achieve accurate load prediction in a small area, which makes existing In the actual application process, the algorithm cannot achieve the proposed "peak shaving and valley filling" effect, and the local energy utilization efficiency is also greatly reduced

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
  • Adaptive micro grid energy storage system energy optimization management method
  • Adaptive micro grid energy storage system energy optimization management method
  • Adaptive micro grid energy storage system energy optimization management method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] Detailed exemplary embodiments are disclosed below. However, specific structural and functional details disclosed herein are merely for purposes of describing example embodiments.

[0050] It should be understood, however, that the invention is not limited to the particular exemplary embodiments disclosed, but covers all modifications, equivalents, and alternatives falling within the scope of the disclosure. Throughout the description of the figures, the same reference numerals denote the same elements.

[0051] Also, it should be understood that as used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items. Also it will be understood that when a component or unit is referred to as being “connected” or “coupled” to another component or unit, it can be directly connected or coupled to the other component or ...

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 discloses an adaptive micro grid energy storage system energy optimization management method. The method comprises the following steps: A, more energy for peak regulation than that in the former day by a battery in the micro grid energy storage system is determined; B, according to a ratio of the more energy for peak regulation than that in the former day by the battery to a lower limit of a battery energy storage capacity, a battery discharge threshold in the micro grid energy storage system is adjusted, when the ratio is larger than 1, the discharge threshold is reduced, and if the ratio is smaller than 1, the discharge threshold is increased. By using the adaptive micro grid energy storage system energy optimization management method of the invention, influences from real-time load fluctuation do not exist, local utilization of new energy can be realized maximally, and a large amount of excessive power can be prevented from flowing in a large grid.

Description

technical field [0001] The invention relates to the technical field of power system control, in particular to energy storage technology for distributed voltage system matching. Background technique [0002] Large-scale use of distributed generation (DG) dominated by renewable energy (RES-E) can reduce dependence on fossil energy, effectively reduce air pollution emissions, and promote power market optimization. However, due to the reverse distribution of RES-E output characteristics and load, it is difficult to be fully utilized by local loads. Large-scale RES-E (wind energy and photovoltaic) will cause a large amount of excess power to enter the grid, which will affect system stability and limit the growth of the number of renewable energy sources connected to the grid. . Therefore, using the micro-grid composed of distributed power sources and energy storage components to supply power to nearby loads can reduce the disturbance to the large system, ensure the safety, relia...

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): H02J3/32
CPCY02P80/14
Inventor 贾科陈奕汝毕天姝李猛任哲锋魏宏升
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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