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

Intelligent optimal scheduling method for wind and solar energy storage grid-connected power generation

A technology of wind-solar energy storage and dispatching method, which is applied in the direction of single-network parallel feeding arrangement, data processing application, information technology support system, etc., and can solve problems such as inaccurate dispatching value, large reserve capacity of power system, and low efficiency

Active Publication Date: 2015-01-14
CHONGQING WULONG COUNTY POWER SUPPLY
View PDF4 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is how to solve the problems in the prior art of inaccurate dispatching values, large power system backup capacity, low efficiency, and high cost, and provide a wind-solar energy storage grid-connected power generation intelligent Optimal Scheduling Method

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
  • Intelligent optimal scheduling method for wind and solar energy storage grid-connected power generation
  • Intelligent optimal scheduling method for wind and solar energy storage grid-connected power generation
  • Intelligent optimal scheduling method for wind and solar energy storage grid-connected power generation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0117] Example: see figure 1 , the intelligent optimal dispatching method of wind power storage grid-connected power generation of the present invention mainly starts with considering the uncertainty of wind power and photovoltaic output, and converts the uncertainty of output into a limited number of output scenarios through the sampling technology adopted at the present stage; In the optimization model, fully consider the uncertain characteristics of wind and solar output, and express the objective function of wind, wind and storage income through the expected value; In the link of joint dispatching value, the optimal dispatching is mainly considered from the perspective of economic benefits, focusing on the characteristics of non-pollution and unstable output of wind and photovoltaic new energy power generation. The amount of abandoned air and abandoned light is optimized to minimize the amount of light, so that the optimization results meet the economy and also take into acco...

specific Embodiment

[0216] Taking a wind power storage power generation system in Xinjiang as an example, the photovoltaic power generation capacity of the photovoltaic power station is 50MWp, and the wind power capacity is 148.5MW. The wind power and photovoltaic output prediction system has been configured locally, and the prediction time interval is 15 minutes. At the same time, it cooperates with the meteorological department to obtain photovoltaic weather data in a timely manner. At present, this project has been put into operation for three years and has a large amount of historical data. The scheduling time of this example is March 5, 2014 0:00-23:59, and the time interval is 15 minutes. The scheduling point is 96=24*4.

[0217] (1) Analysis of the distribution characteristics of wind power and photovoltaic forecast error based on the probability density estimation method of support vector machine:

[0218] Through step 1, use the powerful data processing and programming capabilities of m...

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 intelligent optimal scheduling method for wind and solar energy storage grid-connected power generation. The intelligent optimal scheduling method comprises the steps that (1) historical wind electricity data and solar electricity data are collected, and wind electricity and solar electricity output prediction error distribution before a day and in a day at different time scales is obtained; (2), wind electricity and solar electricity predicted output values are obtained according to meteorological data (illumination and temperatures) with an existing wind electricity output predicting system and a solar electricity output predicting system; (3), a wind electricity output scene value and a solar electricity output scene value are determined through the step (1) and the step (2); (4), an intelligent wind and solar energy storage gird-connected power generation scheduling model is established, wherein the intelligent wind and solar energy storage gird-connected power generation scheduling model comprises a scheduling optimized objective function model and a scheduling constraint condition model, and the scheduling optimized objective function model comprises a day-ahead scheduling model, a intraday scheduling model and a real-time scheduling model; (5), a first wind and solar energy storage power generation day-ahead combined scheduling value is obtained through optimization; (6), a wind and solar energy storage power generation intraday combined scheduling value, a wind energy storage power generation intraday scheduling value and a solar energy storage power generation intraday scheduling value are obtained; (7) a real-time wind and solar energy storage scheduling value is obtained.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, and in particular relates to an intelligent optimization scheduling method for wind-solar energy storage grid-connected power generation. Background technique [0002] With the increasing consumption of traditional energy, the intensification of global pollution, and the rise of global temperature and other issues, new energy (clean energy) power generation has received more and more attention, and large-scale new energy power generation has been connected to the grid one after another. However, the output of new energy power generation is random and uncertain, which brings some security problems to the power grid. Due to the complementary characteristics of wind-solar hybrid power generation and the strong "handling" power capability of energy storage, wind-solar-storage combined power generation has become a relatively "hot" power generation form of new energy power g...

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): H02J3/46G06Q10/06
CPCG06Q10/06H02J3/46Y04S10/50
Inventor 罗建春罗洪冉鸿杨杰刘凯杨晓初李保全
Owner CHONGQING WULONG COUNTY POWER SUPPLY
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