Multi-energy Complementary Optimal Dispatch Method Based on Demand Response

A technology for demand response and optimal scheduling, which is applied in resources, data processing applications, and communication networks with energy trade/energy transmission authority, etc. The effect of intake, optimal economic benefit, and increased economic benefit

Active Publication Date: 2021-03-09
佳源科技股份有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a multi-energy complementary optimal scheduling method based on demand response to solve the problem that the delay of fixed electricity price and peak electricity price in the existing technology is not suitable for uncertain The problem of regulation of sexual energy

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
  • Multi-energy Complementary Optimal Dispatch Method Based on Demand Response
  • Multi-energy Complementary Optimal Dispatch Method Based on Demand Response
  • Multi-energy Complementary Optimal Dispatch Method Based on Demand Response

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0044] In order to stabilize the volatility and security impact brought by the integration of a large number of distributed energy into the distribution network, the output characteristics of various energy sources are studied, and the maximum consumption of renewable energy is pursued under the premise of meeting the local load demand, so as to reduce waste. Wind and light costs and benefits; at the same time, taking into account the randomness and fixedness of energy consumption on the user side, based on the price-based demand response theory, make full use of the electricity price strategy to guide the energy consumption on the user side, so as to achieve peak shaving and valley filling and e...

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 a demand-response-based multi-energy complementary optimization scheduling method, which belongs to the technical field of electric power system automation. The method includes: establishing a multi-energy complementary optimal scheduling model based on a demand response scheduling model and setting constraints; using particle swarm optimization to simulate and solve the multi-energy complementary optimal scheduling model; adjustable load. The present invention achieves the objectives of peak shaving and valley filling and optimal economic benefits of both parties, and the economic benefits are also increased.

Description

technical field [0001] The invention belongs to the technical field of electric power system automation, and in particular relates to a demand response-based multi-energy complementary optimization scheduling method. Background technique [0002] With global warming and the extreme consumption of fossil fuels, new clean energy sources are attracting more and more worldwide attention. In order to meet the energy strategy requirements of the country's "13th Five-Year Plan", the penetration rate of intermittent clean energy grid connection will increase day by day. By studying the power generation characteristics of "wind, solar, and storage", rationally constructing an energy structure is the primary choice for a large number of intermittent energy grids in the future. However, the impact of a large number of intermittent energy grid-connected on the distribution network is becoming more and more severe, and the forecasting technology of wind power and robust optimization the...

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): H02J3/00H02J3/48G06Q10/06G06Q50/06
CPCH02J3/008H02J3/48G06Q10/06312G06Q50/06H02J2310/64Y04S10/50Y02E40/70
Inventor 孙侃张长祥余洋丁旸
Owner 佳源科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products