Virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method

A multi-time scale, virtual energy storage technology, applied in instruments, data processing applications, resources, etc., can solve the problems of ignoring the potential of virtual energy storage systems and not fully considering the quantitative mathematical relationship of temperature comfort.

Inactive Publication Date: 2017-07-18
TIANJIN UNIV
View PDF1 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing research work on building microgrid optimization scheduling and energy management, the quantitative mathematical relationship between building cooling demand, user temperature comfort and outdoor temperature is not fully considered, and the virtual energy storage system of the demand side building is ignored. Potential in Network Optimal Dispatch

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
  • Virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method
  • Virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method
  • Virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0172] Embodiment: Analyze the scheduling results formed by the multi-time scale optimal scheduling method of the building microgrid with virtual energy storage in the present invention.

[0173] 1. Basic data

[0174] right figure 1 Multi-time-scale optimal scheduling analysis of day-ahead and day-to-day in building micro-grid. The day-ahead scheduling forecast data is hour-level forecast data, and the daytime scheduling actual measurement data is 15-minute level data. The building in the building micro-network is set as a single-family office building with a length of 30m, a width of 20m, and a floor height of 3m, with a total of three floors. The exterior wall of the building adopts 190mm single-row hole bricklaying, and 25mm thermal insulation mortar inside and outside; the windows are made of PVC plastic windows, and the glass is ordinary insulating glass. The relevant building parameters are shown in Table 1. The calculation example selects a typical day in summer i...

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 virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method, comprising: modeling a building virtual energy storage system; constructing a building micro grid layered energy management framework; proposing a multi-time scale optimizing and scheduling algorithm and applying the algorithm to the building micro grid optimizing and scheduling model; calling the CPLEX under the MATLAB software environment for solutions to the optimizing and scheduling and obtaining the operation results of the virtual energy contained building micro grid before and in the middle of the current day so as to achieve the optimal operations. According to the invention, the virtual energy storage contained building micro grid multi-time scale optimizing and scheduling method is capable of reducing the operation costs of the building micro grid in the present scheduling stage under the condition that the temperature comfort is ensured; and with the method, the power fluctuation of the micro grid connection lines caused by the prediction errors before the current day can be suppressed in the correction stage in the middle of the day.

Description

technical field [0001] The invention relates to the optimal operation of a micro-energy grid, and specifically relates to a multi-time-scale optimal scheduling method for a building micro-grid with virtual energy storage. Background technique [0002] With the continuous development of renewable energy utilization technology in recent years, more and more distributed energy supply systems are integrated on the building side, forming a micro-grid system with buildings as the main body, providing a variety of low-carbon solutions for building energy supply Program. According to the configuration of each unit in the micro-grid, the optimal dispatching plan of the building is formulated, and the comprehensive energy in the micro-grid is coordinated, optimized and managed, which can realize the complementarity of various energy sources, the full consumption and utilization of renewable energy, and reduce the operating cost of the micro-grid. Improve energy efficiency. [0003] ...

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): G06Q10/06G06Q50/06
CPCG06Q10/06313G06Q50/06
Inventor 穆云飞靳小龙贾宏杰余晓丹林威
Owner TIANJIN UNIV
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
Try Eureka
PatSnap group products