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

Integrated scheduling method for demand-side resources and renewable energy sources in intelligent distribution network environment

A renewable energy, demand-side technology, applied in the direction of resources, AC networks of the same frequency with different sources, single-network parallel feeding arrangements, etc., to achieve the effects of optimizing configuration, improving performance, and reducing operating costs

Active Publication Date: 2020-01-31
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To this end, the present invention provides an integrated scheduling method and computing equipment for demand-side resources and renewable energy in an intelligent distribution network environment, in an attempt to solve or at least alleviate the above-mentioned problems

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
  • Integrated scheduling method for demand-side resources and renewable energy sources in intelligent distribution network environment
  • Integrated scheduling method for demand-side resources and renewable energy sources in intelligent distribution network environment
  • Integrated scheduling method for demand-side resources and renewable energy sources in intelligent distribution network environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0020] In order to facilitate the understanding of the technical solution of the present invention, the mode of distributed resource scheduling, the time scale of renewable energy output forecast, and the demand-side response mechanism are introduced below.

[0021] 1. Distributed resource scheduling mode

[0022] Distributed resource scheduling mainly includes three modes, namely centralized scheduling, decentralized scheduling an...

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 discloses an integrated scheduling method for demand-side resources and renewable energy in an intelligent distribution network environment. The method comprises the following steps that: the basic information of a power distribution network system is obtained, wherein the power distribution network system comprises a scheduling center, at least one response agent in communication connection with the scheduling center, and at least one demand-side resource in communication connection with the response agents; a rolling optimization scheduling model under multiple time scales is established according to the basic information, wherein the scheduling model comprises an objective function and constraint conditions, wherein the objective function is used for calculating the operation cost of the power distribution network system, and the optimization objective of the scheduling model is to minimize the value of the objective function; the optimal solution of the scheduling model is calculated, wherein the optimal solution comprises the optimal load of each demand-side resource; and the load of each demand-side resource is adjusted to be the optimal load. Therefore, the distributed demand-side resources are scheduled orderly, the operation cost of the power distribution network system is reduced, peak load shifting can be realized, and renewable energy consumption can be improved. The invention also discloses a corresponding computing device.

Description

technical field [0001] The invention relates to the technical field of distributed resource scheduling, in particular to an integrated scheduling method of demand-side resources and renewable energy in an intelligent distribution network environment. Background technique [0002] Looking at the world, countries are facing different degrees of difficulty in expanding the supply side of the power system. Many countries have begun to shift the research focus to the power demand side, and the value of demand-side resources has gradually been valued, and they are increasingly playing a role in power system planning, dispatching and operation. The power demand-side management policy system has been gradually improved, and the technical level has been improved. Especially in recent years, relevant policies have been introduced intensively, and it can be predicted that demand-side resources will have better development prospects. [0003] In the smart distribution network environme...

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): H02J3/06H02J3/38G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q10/06315G06Q50/06H02J3/06Y04S10/50
Inventor 邱锋凯王晟嫣方程吴浩宇曹雨微刘英新郑正仙宫飞翔
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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