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

Microgrid multi-time scale self-adaption energy dispatching method under source-grid-load interaction mode

A source-grid-load interaction, multi-time scale technology, applied in AC network voltage regulation, AC network circuit, load forecasting in AC network, etc. Uncontrollable renewable energy and other issues, to achieve the effect of economic and environmental protection, coordinated operation, and high economic and environmental benefits

Inactive Publication Date: 2017-09-22
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +4
View PDF3 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to the uncontrollability and intermittent nature of renewable energy, the diversity of distributed power sources and load types, and the complexity of microgrid operation, the energy optimization management of microgrid becomes more and more complicated.
Represented by multi-time-scale energy management methods, the existing multi-time-scale microgrid energy management models lack effective configuration mechanisms for day-ahead long-term planning and intraday real-time scheduling
Moreover, due to the uncertainty of renewable energy output, the prediction accuracy is affected, and accurate and rapid microgrid energy management cannot be realized.

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
  • Microgrid multi-time scale self-adaption energy dispatching method under source-grid-load interaction mode
  • Microgrid multi-time scale self-adaption energy dispatching method under source-grid-load interaction mode
  • Microgrid multi-time scale self-adaption energy dispatching method under source-grid-load interaction mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Such as figure 1 As shown, the industrial microgrid component model is composed of photovoltaic cells, wind generators, diesel generators, energy storage devices and various loads.

[0029] 1) Energy storage equipment

[0030] The energy storage device is composed of multiple batteries, which can be flexibly charged and discharged according to the real-time scheduling plan when connected to the grid. The operating cost within its scheduling cycle is:

[0031]

[0032] T is the scheduling cycle of microgrid energy management, and ΔT is the time resolution. and It is a binary number (including two values ​​of 0 and 1), When it is 1, it means that the energy storage device is charging, When it is 1, it means that the energy storage device is discharging. f dis Indicates the discharge maintenance fee of the energy storage device, and is the discharge power linear function of . In order to prevent the energy storage device from being damaged due to frequent swi...

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 a microgrid multi-time scale self-adaption energy dispatching method under a source-grid-load interaction mode. The invention starts from the aspect of microgrid multi-time scale optimal management, and provides a self-adaption energy management method comprising basic day conventional dispatching and control day rolling dispatching. According to the method, labor is contributed for an energy storage device and a diesel generator according to a global object function and a global constraint condition, active power consumption of power and controllable and respectable load interactive with a large power grid is optimized, and the magnitude of the contributed labor can be predicted according to wind power and photovoltaic power generation systems, self-adaption adjustment for energy storage SOC penalty factors and control day rolling optimization time duration is realized, the influence of the error of the contributed labor predicted by the wind power and photovoltaic power generation systems on microgrid energy management is reduced, and economic and environmentally-friendly coordinated operation of a microgrid is realized.

Description

technical field [0001] The invention relates to a multi-time-scale self-adaptive energy scheduling method for a microgrid under a source-grid-load interaction mode, and belongs to the technical field of microgrid energy management. Background technique [0002] Microgrid is a new power supply mode composed of distributed power supply, energy storage device, load and control device. Microgrid can effectively utilize clean and renewable energy such as wind energy, solar energy, and biomass energy, and solve the contradiction between large power grids and distributed power sources. And in case of an accident, the robustness and emergency response capability of the system can be improved, and the quality of electric energy can be improved at the same time. The goal of microgrid energy management is to meet the power supply demand of users in real time and accurately at the lowest operating cost on the basis of stable operation of the power grid, not only to ensure the quality o...

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): H02J3/00H02J3/38H02J3/14
CPCH02J3/00H02J3/003H02J3/14H02J3/382H02J3/388H02J2203/20H02J2310/64Y02B70/3225Y02E10/56Y02E10/76Y02P80/14Y04S20/222
Inventor 韩华春李强袁晓冬吴在军窦晓波柳丹吕振华黄地陈兵
Owner STATE GRID JIANGSU ELECTRIC POWER CO 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