Electric power system recovering method for centralized electric vehicle charging station

A power system restoration, power system technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of unable to achieve power system restoration, unable to provide sufficient starting power, etc.

Inactive Publication Date: 2017-02-22
国网浙江省电力公司电动汽车服务分公司 +1
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When there is no black start power supply in the regional power system or the capacity of the black start unit is not sufficient, the units in the regional power system cannot provide sufficient starting power, that is, the power system cannot be restored

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
  • Electric power system recovering method for centralized electric vehicle charging station
  • Electric power system recovering method for centralized electric vehicle charging station
  • Electric power system recovering method for centralized electric vehicle charging station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The invention proposes a grid reconfiguration optimization method considering that the electric vehicle centralized charging station acts as a black start power supply. First, a mathematical model for evaluating the available battery capacity of EV charging stations is established. Then, a two-layer optimization model for grid reconfiguration is proposed, in which the upper layer model is used to optimize the restoration order of power generation nodes, and the lower layer model is used to determine the restoration path. On this basis, considering the uncertain factors such as the time of the blackout, the number of batteries available at the charging station, and the state of charge of the battery, a two-layer network structure reconstruction optimization model based on chance constrained programming is constructed to obtain a certain level of confidence. system recovery method. After that, the improved particle swarm optimization algorithm is used to solve the propos...

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 provides an electric power system recovering method for a centralized electric vehicle charging station, and aims to solve the problem that a regional electric vehicle system without a regular black-start unit or insufficient in black-start unit capacity cannot recover normally. The electric power system recovering method includes that firstly, an available battery capacity of the charging station is modeled to obtain a starting capacity which can be provided for the charging station at a power cut moment of an electric power system; secondly, a net rack reconstruction model based on double-layer optimization is established, in an upper-layer model, a maximized generating capacity available for the electric power system is used as a target to determine a recovering time for a generator unit, and in a lower-layer model, the minimal sum of charging capacities of circuits is used as a target to determine a recovering path; thirdly, relevant uncertain factors are processed by chance constrain programming, a double-layer net rack reconstruction model optimization model based on chance constrain programming is established by means combining chance constrain programming with the double-layer optimization model, and then an optimization problem is solved by a modified particle swarm optimization method.

Description

technical field [0001] The invention belongs to the field of power system recovery, in particular to a power system recovery method considering a centralized electric vehicle charging station. Background technique [0002] How to quickly, safely and stably restore the power system after a blackout is a very important issue. The power system recovery after a blackout can generally be divided into three main stages: black start stage, grid reconstruction stage and load restoration stage. The methods for power system restoration at home and abroad are to use the conventional black start unit to provide starting power for the non-black start unit of the system after the blackout. When there is no black-start power supply in the regional power system or the black-start unit capacity is not sufficient, the units in the regional power system cannot provide sufficient starting power, that is, the power system cannot be restored. Contents of the invention [0003] Aiming at the a...

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): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 李波孙磊林振智文福拴毛建伟俞哲人李梁袁军吕浩华
Owner 国网浙江省电力公司电动汽车服务分公司
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