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

Multi-time-scale micro grid energy management optimization scheduling method

A multi-time scale, optimized scheduling technology, applied in data processing applications, instruments, forecasting, etc., can solve the problems of incomplete consideration of microgrid operating status, insufficient control strategy, and insufficient accuracy of operating cost calculations

Active Publication Date: 2017-05-10
TAIYUAN UNIV OF TECH
View PDF4 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of coordination and cooperation of various distributed units in the microgrid, the present invention takes into account the operation economy and reliability of the microgrid, and aims at the incomplete consideration of the operating state of the microgrid existing in the existing research, and the control of each operating state of the microgrid Insufficient detailed strategy and insufficient accuracy of operation cost calculation, etc., a multi-time scale microgrid energy management optimal scheduling method is established

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
  • Multi-time-scale micro grid energy management optimization scheduling method
  • Multi-time-scale micro grid energy management optimization scheduling method
  • Multi-time-scale micro grid energy management optimization scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0105] see figure 1 , which is the topological structure diagram of the AC microgrid system in the present invention; as figure 1 As shown, the AC bus of the microgrid is connected to the large power grid through a static switch. The 380V AC bus leads to three feeders. The supercapacitor, lithium battery and fuel cell on the first and second feeders pass through the DC / DC converter and DC / AC respectively. The inverter is connected, and the photovoltaic power generation system on the third feeder is connected through a DC / AC inverter. L1, L2, L3 and L4 represent four kinds of interruptible loads; Lc1, Lc2 and Lc3 represent fixed loads; in this example, The total fixed load power is not greater than 10kW; in the embodiment, photovoltaic panels with a rated power of 16.5kW are used; the fuel cell is calculated by choosing a natural gas fuel cell, whose rated power is 6kW, and the price of gas is 1.81 yuan / m 3 , the gas low calorific value is 9.7, the fuel cell efficiency is 40%,...

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 relates to a management optimization method in the field of alternating-current micro grids, and specifically to a multi-time-scale micro grid energy management optimization scheduling method. Aiming at the problems that the existing studies are incomprehensive on consideration of the running status of a micro grid, not detailed enough on the control strategy in each running status of the micro grid, insufficient on calculation accuracy of the running cost and the like, the method comprises a day-ahead economic optimization scheduling phase and an intraday economic optimization scheduling phase; the former considers the electricity price at peak, valley and flat time, and distributed unit power optimization allocation in the micro grid is performed according to day-ahead photovoltaic and load prediction by using the total running cost including the running and maintenance cost of a lithium battery and a fuel battery, interrupted compensation of an interruptible load, price of electricity sold by a large grid and the like as a target function; and the latter considers the outputs of electricity purchased from the large grid by the micro grid, a super-capacitor and the fuel battery, and an independent control strategy is respectively established for the peak, valley and flat time, so that the control strategies are more specific and detailed.

Description

technical field [0001] The invention relates to an optimization method for energy management of an AC microgrid, in particular to an optimal scheduling method for energy management of a multi-time scale microgrid. Background technique [0002] The microgrid can not only efficiently solve the large-scale decentralized access problem of distributed power, but also serve as a useful supplement to the traditional power grid, making distributed power generation an effective carrier for the traditional power grid to accept and utilize energy. Each distributed power source in the microgrid has its own advantages and disadvantages, and its mutual coordination and cooperation have led to extensive research on energy management and optimization of the microgrid, that is, under the premise of power balance, distributed power generation (DER), energy storage Optimum scheduling of power between loads and loads makes microgrids operate optimally. [0003] For the optimal operation of the...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 秦文萍张海涛韩肖清王鹏王英贾燕冰任春光张宋杰
Owner TAIYUAN UNIV OF TECH
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