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

Energy storage optimization configuration method based on transmission congestion containing wind and light access

An optimized configuration and energy storage technology, applied in the direction of AC network load balancing, single-network parallel feeding arrangement, etc., can solve the problems of power system voltage fluctuations, increase transmission line congestion, and expand load peak-valley difference, etc., to improve the solution Efficiency, reducing operating costs, and absorbing the effects of wind and solar output

Active Publication Date: 2019-05-31
NANJING INST OF TECH
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The intermittence and randomness of wind power and photovoltaic power generation have brought great challenges to the safe operation of the power system. The anti-peaking characteristics of wind power indirectly expand the peak-valley difference of load and increase the possibility of transmission line congestion. The uncertain output of photovoltaic power generation will cause voltage fluctuations in the power system
The traditional scheduling method is to adjust the power generation of thermal power and hydropower according to the load forecast curve and new energy power generation forecast curve. High cost; although hydropower is relatively flexible, it is greatly affected by the region

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
  • Energy storage optimization configuration method based on transmission congestion containing wind and light access
  • Energy storage optimization configuration method based on transmission congestion containing wind and light access
  • Energy storage optimization configuration method based on transmission congestion containing wind and light access

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Such as Figure 1 to Figure 2 As shown, the technical solution of the present invention is described in further detail.

[0019] refer to figure 1 Describe the general process of the inventive method, concrete steps are as follows:

[0020] Such as figure 1 As shown, an energy storage optimization configuration method based on transmission congestion including wind and solar access, the steps are as follows:

[0021] S1. Obtain the four-season typical output of new energy units and the typical load curves of each node, obtain the data of each unit, and initialize each variable;

[0022] S2. Establish a two-stage optimization model for energy storage capacity, specifically: build the first-stage optimization model with the system operating cost as the target, and build the second-stage optimization model with the system comprehensive operation cost including system operation and energy storage investment as the target , establish a two-stage optimization model for en...

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

An energy storage optimization configuration method based on transmission congestion containing wind and light access comprises the following steps of acquiring each unit data; establishing an energystorage capacity two-stage optimization model; taking the economic operation of a system as a target to construct the model without energy storage, selecting a power transmission line which is most likely to generate system congestion and determining an installation node set to be selected; coding an energy storage position and a capacity and randomly forming a first generation population; using the population as a known quantity, using a gradient method to calculate each time output of energy storage in a first-stage function and system operating cost G, using the maximum output of the energystorage as the rated power of the energy storage, and calculating system comprehensive operating cost F; calculating population individual fitness; determining whether the function is converged or reaches the maximum number of iterations, if the function is not converged or does not reach the maximum number of iterations, entering into a next step, otherwise, outputting an optimal result; and forming a new population, and entering into a fifth step. Operating cost and energy storage investment cost are comprehensively considered, and the method is good for improving the efficiency and the economy of energy storage and capacity configuration.

Description

technical field [0001] The present invention relates to the technical field of energy storage optimal configuration methods, in particular to the technical field of energy storage optimal configuration methods based on transmission blockage and wind-solar access. Background technique [0002] The intermittence and randomness of wind power and photovoltaic power generation have brought great challenges to the safe operation of the power system. The anti-peaking characteristics of wind power indirectly expand the peak-valley difference of load and increase the possibility of transmission line congestion. The uncertain output of photovoltaic power generation will cause voltage fluctuations in the power system. The traditional scheduling method is to adjust the power generation of thermal power and hydropower according to the load forecast curve and new energy power generation forecast curve. High cost; although hydropower is relatively flexible, it is greatly affected by the r...

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): H02J3/46H02J3/32
Inventor 陈光宇陈伟张仰飞郝思鹏刘海涛黄良灿李干
Owner NANJING INST 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

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