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

Multi-objective optimization method considering joint planning of distributed power supply and charging station

A distributed power supply, multi-objective optimization technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as multi-objective optimization solution, no multi-angle, no time-space distribution model of electric vehicle charging load, etc., to achieve a broad reference Accurate effect of space and charging load

Pending Publication Date: 2020-05-19
SOUTHEAST UNIV
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 2) A reasonable spatio-temporal distribution model of electric vehicle charging load has not been established
[0006] 3) The planning scheme of distributed power supply and charging station is not optimized from multiple perspectives
[0007] 4) Failure to select an appropriate optimization method for multi-objective optimization

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 method considering joint planning of distributed power supply and charging station
  • Multi-objective optimization method considering joint planning of distributed power supply and charging station
  • Multi-objective optimization method considering joint planning of distributed power supply and charging station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of specific implementation, as long as various changes are within the limits of the appended claims, these changes are obvious , are all included in the protection of the present invention.

[0026] The present invention considers the economical operation of the distribution network, the effective utilization of new energy and the charging experience of electric vehicle users, with the minimum active power loss of the distribution network, the maximum total capacity of distributed power grid connection and the extra mileage of electric vehicle group charging. A multi-objective optimization method with minimum as the objective.

[0027] The present invention proposes a specific implementation of a multi-objective optimization method considering the joint plann...

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 method considering joint planning of a distributed power supply and a charging station. The method aims at solving the planning problem of a distributed power supply and an electric vehicle charging station in a power distribution network. The timing sequence of the distributed power supply and the charging load is considered; establishing a time sequence output model of the distributed power supply; describing behavior transition probability distribution of residents in the planning area within one day in the form of a travel chain; fitting the characteristic quantity on the electric vehicle group time travel chain by using a Gaussian mixture model and a maximum expectation algorithm; fitting the space travel chain by using a probability transfer matrix; a Monte Carlo method is used to simulate the charging load of an electric vehicle group in a region. And finally, constructing a multi-objective optimization model with the minimum active power loss of the power distribution network, the maximum grid-connected total capacity of the distributed power supply and the minimum extra mileage for charging the electric vehicle group,determining constraint conditions, determining a coding mode for the optimization model, and solving by using a non-dominated sorting genetic algorithm with an elitist reservation strategy.

Description

technical field [0001] The invention relates to a multi-objective optimization method considering joint planning of distributed power sources and charging stations, which belongs to the category of power system planning and operation. Background technique [0002] In order to control the emission of greenhouse gases, reduce pollution to the air environment, and at the same time, in order to alleviate the tension of the gradual depletion of various fossil energy sources, in recent years, distributed power (Distributed Generation, DG) and electric vehicles (Electric Vehicle, EV) It has attracted more and more attention and attention from governments, scientific research scholars and energy suppliers of various countries. With the maturity of new energy power generation technology and battery technology, distributed power supply and electric vehicles are increasingly applied to actual power production and transportation systems. However, grid-connected planning of distributed ...

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
CPCG06Q10/04G06Q50/06Y02T10/40
Inventor 蒋浩张雄义周建华
Owner SOUTHEAST UNIV
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