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

Demand side comprehensive flexible load regulation and control optimization method and system

A technology of flexible load and optimization method, applied in the direction of information technology support system, power network operating system integration, climate sustainability, etc., can solve the problem of increasing energy system flexibility, economy and renewable energy utilization rate, affecting system reliability sexual issues

Active Publication Date: 2020-12-01
SHENYANG POLYTECHNIC UNIV +1
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Before and after system operation optimization, multi-energy storage technology and comprehensive demand response technology can adjust the output level of flexible loads and energy conversion devices, and change the operation of multi-energy systems while increasing the flexibility, economy, and utilization of renewable energy in the energy system operating conditions, thereby affecting system reliability
However, few studies have analyzed the impact of multi-energy storage and integrated demand response on energy system reliability

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
  • Demand side comprehensive flexible load regulation and control optimization method and system
  • Demand side comprehensive flexible load regulation and control optimization method and system
  • Demand side comprehensive flexible load regulation and control optimization method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0107] Aiming at the prior art, the present invention takes heat-storage electric boiler and cold-storage air conditioner as examples, and combines "hot and cold electricity" to jointly adjust flexible loads. And on this basis, an algorithm combining MOSPO and synchronous back generation elimination algorithm is proposed to calculate the problem of combining multiple energy storage technologies. It can solve the problem that the objective functions of various technologies may conflict, and improve the regulation efficiency.

[0108] Below in conjunction with accompanying drawing, the present invention will be further described:

[0109] Such as figure 1 Shown is a schematic diagram of the IDR application.

[0110] This application diagram illustrates the basic principle of IDR application. IDR is a kind of mutual conversion of energy storage technology and electric energy. After coupling energy storage technology, the control of the power grid is realized through mutual adju...

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 relates to a demand side comprehensive flexible load regulation and control optimization method and system, and is suitable for coordination method optimization considering demand side comprehensive flexible loads with complex operation. The method comprises the following steps: preprocessing collected historical data; selecting a particle leader in the particle swarm by using a wheel rotation method, and updating the particle speed and the optimal position based on the particle leader; and combining a multi-target particle swarm algorithm with a synchronous back substitution elimination algorithm to obtain an optimal scheme. The system comprises a preprocessing module, a particle leader selection module and an optimization module. According to the invention, the MOSPO algorithm and the synchronous back substitution elimination algorithm are combined for the first time, so the algorithm is more rigorous and accurate. Meanwhile, the MOSPO algorithm is applied to the cold,heat and electricity combination problem for the first time, the problem that various energy storage technologies are combined and conflict with one another is solved, and possibility and a new thought can be provided for further development of an IDR system.

Description

technical field [0001] The invention relates to a demand-side comprehensive flexible load control and optimization method and system, which is suitable for the coordination method optimization and system considering the demand-side comprehensive flexible load with complex calculations. Background technique [0002] In the context of global energy conservation and emission reduction, demand response has emerged as the times require. Demand response (DR) is an effective means to integrate the response potential of the user-side power grid, which can effectively improve the safety and stability of power grid operation. The effective way of valley filling has a good effect in reducing peak load, reducing system cost and improving system reliability. [0003] At present, the research on integrated demand response in integrated energy system has attracted extensive attention. The application of integrated energy systems has brought new developments to demand response. The integr...

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): H02J3/46H02J3/14H02J3/32
CPCH02J3/466H02J3/144H02J3/32H02J2203/20H02J2300/40H02J2300/28Y02B70/3225Y04S20/222
Inventor 崔嘉韩智杰杨俊友李钊田小蕾雷振江吕旭明金成明李桐
Owner SHENYANG POLYTECHNIC 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