Day-ahead economic optimization dispatching method for optical-storage-charging energy router

A technology of economic optimization and scheduling method, which is applied to AC networks with different sources of the same frequency, internal combustion piston engines, mechanical equipment, etc., and can solve the problem of not providing optimal scheduling solutions for microgrids with light storage and charging based on energy routers. , to achieve the effect of improving the voltage quality of the distribution network, exploring the potential, and optimizing the charging behavior.

Active Publication Date: 2019-09-27
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not provide an optimal dispatching scheme for the

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
  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router
  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router
  • Day-ahead economic optimization dispatching method for optical-storage-charging energy router

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] A day-ahead economic optimization scheduling method for optical storage charging energy routers, such as figure 1 As shown, this embodiment includes the following steps:

[0035] Step 1: Establish the optical storage charging energy router 302 and a mathematical model of each component.

[0036] (1) Establish the power flow model of the energy router 302:

[0037] P ER =P B +P PV -P EV

[0038] Among them, P ER is the active power delivered by the energy router 302 to the grid 301, P B is the power flowing from the energy storage device 305 to the energy router 302, P PV is the power flowing from the photovoltaic power generation 306 to the energy router 302, P EV is the power flowing from the energy router 302 to the charging pile.

[0039] (2) Establish a relationship model between the energy router 302 and the distribution network:

[0040] P Grid +P ER =P Load

[0041] Q Grid +Q ER =Q Load

[0042]

[0043] Among them, P Grid , Q Grid are the...

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 the technical field of power system dispatching and particularly relates to a day-ahead economic optimization dispatching method for an optical-storage-charging energy router, comprising the following steps of 1, establishing a mathematical model of the optical-storage-charging energy router and its components; 2, dividing the whole day into N equal time periods; 3, establishing an economically optimal objective function; 4, establishing a constraint condition; and 5, solving the optimization problem and obtaining a day-ahead economic optimization dispatching result. The method has substantial effects of rationally planning and dispatching the resources of the power grid and each port of the energy router under the condition of comprehensively considering various energy factors. The method optimizes the charging behavior of an electric vehicle, improves the voltage quality of the distribution network, explores the potential of an energy storage device, obtains an economically optimal day-ahead optimization dispatching result, and has a greater advantage than a traditional solution.

Description

technical field [0001] The invention relates to the technical field of electric power system dispatching, in particular to a day-ahead economic optimization dispatching method for an optical storage charging energy router. Background technique [0002] The rapid development of distributed power sources such as photovoltaics and wind power has brought severe challenges to the stable operation of distribution networks. At the same time, the emergence of new flexible loads such as energy storage systems and electric vehicles provides more control for the optimal operation of the distribution network. The future power distribution system will present flexible power distribution characteristics such as AC-DC hybrid, multi-directional power flow, and high controllability. How to rationally utilize distributed power sources and multiple loads to improve the operation economy and stability of distribution network has become an important issue. Among them, the optimization of 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
IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/20Y02T10/40
Inventor 殷伟斌陈锡祥陈嵘郑伟民孙可郁家麟陈理李春郑朝明刘伟
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JIAXING POWER SUPPLY CO
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap