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

Optimal configuration method of wind-solar diesel storage capacity based on improved immune particle swarm algorithm

A capacity optimization configuration, wind and diesel storage technology, applied in energy storage, photovoltaic power generation, circuit devices, etc., can solve the problem that configuration selection is difficult to meet the stability and reliability of power supply in remote areas, so as to speed up computing speed and reduce Pollution, the effect of increasing the convergence speed

Active Publication Date: 2022-06-21
INNER MONGOLIA UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing solar-diesel storage capacity allocation is difficult to meet the lack of stability and reliability of power supply in remote areas in terms of strategy, configuration selection, and optimization methods

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
  • Optimal configuration method of wind-solar diesel storage capacity based on improved immune particle swarm algorithm
  • Optimal configuration method of wind-solar diesel storage capacity based on improved immune particle swarm algorithm
  • Optimal configuration method of wind-solar diesel storage capacity based on improved immune particle swarm algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] According to an embodiment of the present invention, an improved method for configuring the storage capacity of wind and diesel fuel by immune particle swarm algorithm is provided, and the specific process includes:

[0062] Step 1. Obtain the wind speed, light intensity, temperature and load data of a certain area, and build a fan and photovoltaic processing model.

[0063] Step 2. Establish a multi-objective optimization function with the lowest net present value of the total cost, the smallest load power shortage rate and energy waste rate, set constraints, limit the number of fans, photovoltaics, batteries and diesel engines, and consider battery capacity, Diesel engine power and limiting factors for pollutant emissions.

[0064] Step 3. Adopt different control methods, namely, the control method dominated by the diesel engine and the control method when th...

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

A method for optimal allocation of wind, diesel and diesel storage capacity based on the improved immune particle swarm optimization algorithm is proposed, which belongs to the technical field of distributed independent power generation capacity allocation. The method includes: establishing wind turbine and photovoltaic power generation models according to the load and wind data in a certain area; Establish a multi-objective optimization function, consider the site size, power constraints, and pollutant emission restrictions, and realize the optimal allocation of capacity; adopt different control methods, respectively, the control method dominated by the diesel engine and the control method when the battery is fully charged and discharged , to carry out comparative analysis; carry out type selection operation for each distributed power supply; use the improved immune particle swarm algorithm to carry out capacity allocation for multi-objective problems, and obtain a better allocation plan. The method solves technical problems such as insufficient stability and reliability of power supply in remote areas.

Description

technical field [0001] The invention relates to the technical field of distributed independent power generation capacity configuration, in particular to a multi-objective wind-solar diesel storage capacity optimal configuration method based on an improved immune particle swarm algorithm. Background technique [0002] Among clean energy sources, wind energy and solar energy have great development value due to their abundant resources and low pollution. At present, wind energy and solar energy technologies are gradually mature, and the utilization rate is greatly improved. However, in the process of power supply, considering the discontinuity, randomness and high volatility of wind energy and solar energy, and taking advantage of the complementary advantages between wind energy and solar energy, a distributed system of wind energy and diesel storage is proposed. Wind energy and solar energy are not fixed. The power source will change with the season and climate. The energy sto...

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 Patents(China)
IPC IPC(8): H02J3/38H02J3/46H02J3/32H02J3/00
CPCH02J3/381H02J3/46H02J3/32H02J3/008Y02E70/30
Inventor 胡林静刘彤赵洋
Owner INNER MONGOLIA UNIV 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