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

Multi-objective optimization scheduling method for electric vehicle charging station including photovoltaic power generation system

A photovoltaic power generation system, multi-objective optimization technology, applied in combustion engines, internal combustion piston engines, instruments, etc., can solve the problem that conventional charging station optimization scheduling methods cannot be fully applied.

Active Publication Date: 2014-05-14
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 59 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the optimal scheduling method for conventional charging stations cannot be fully applied

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-objective optimization scheduling method for electric vehicle charging station including photovoltaic power generation system
  • Multi-objective optimization scheduling method for electric vehicle charging station including photovoltaic power generation system
  • Multi-objective optimization scheduling method for electric vehicle charging station including photovoltaic power generation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The selected calculation examples are described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is exemplary only, and is not intended to limit the scope of the invention and its application.

[0060] like figure 1 As shown, the present invention discloses a schematic structural diagram of an integrated system of a photovoltaic charging station. figure 1 It is a schematic diagram of the structure of an electric vehicle charging station with a photovoltaic power generation system, such as figure 1 As shown, the general electrical structure of an electric vehicle charging station with a photovoltaic power generation system includes: a photovoltaic power generation system, which is connected to the DC bus through a DC / DC converter; an energy storage system, which is connected to the DC bus through a DC / DC converter; The parking space, the electric vehicle parked in the parking space of the photovoltaic...

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 multi-objective optimization scheduling method for an electric vehicle charging station including a photovoltaic power generation system, and belongs to the technical field of smart power grids. Power purchase cost minimization and circulating electric quantity minimization of an energy storage system are used as objective functions, and a multi-objective optimization scheduling model of the electric vehicle charging station including the photovoltaic power generation system is built; the decision variable of the scheduling model and the constraint condition of the decision variable are determined; basic data are determined; solution is carried out through a multi-objective optimization algorithm to obtain a non-dominated solution leading surface, and then multiple Pareto optimal solutions are obtained; according to the low comprehensive cost of the main circulating electric quantity of the energy storage system and the power purchase cost, the charging station scheduling optimal scheme is selected at last. The multi-objective optimization scheduling method is suitable for the electric vehicle charging station including the photovoltaic power generation system of various cities with rich light sources; the scheduling scheme of the electric vehicle charging station including the photovoltaic power generation system is optimized; theoretical bases and technical supporting can be provided for the scheduling of the electric vehicle charging station including the photovoltaic power generation system; the operation economical efficiency of the charging station is improved.

Description

technical field [0001] The invention relates to a multi-objective optimal scheduling method for an electric vehicle charging station including a photovoltaic power generation system, and belongs to the technical field of smart grids. Background of the Invention [0002] With the widespread development of electric vehicles in countries around the world, the planning and construction of charging infrastructure has received more attention from the Chinese government. At present, the primary energy on the power generation side of my country's power system is still dominated by coal (accounting for about 75% to 80%). Electric vehicles are directly connected to the power grid for charging through the charging infrastructure. The actual indirect carbon emissions produced are less than those of traditional fuel vehicles. There is no obvious advantage, and it is difficult to reduce the dependence on fossil fuels. In this case, there are two ways to achieve low-carbon in the true sens...

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
CPCY02T10/40
Inventor 路欣怡刘念张建华
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com