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

Multi-energy short-term economic dispatching method and system based on differential-gradient evolution

An economic scheduling and multi-energy technology, which is applied in wind power generation, single-network parallel feeding arrangements, and communication networks with energy trade/energy transmission authority, etc., can solve the difficult problem of multi-energy mutual aid coordination system. Falling into problems such as local optima to achieve the effect of improving algorithm efficiency, high accuracy, and speeding up evolution

Active Publication Date: 2019-08-09
CENT CHINA BRANCH OF STATE GRID CORP OF CHINA +1
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a multi-energy short-term economic scheduling method and system based on differential-gradient evolution, thereby solving the existing problems in the prior art that are easy to fall into local optimum and difficult to solve multi-energy interaction. Technical Problems of Dynamic Economic Dispatch in Economic Coordination System

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 short-term economic dispatching method and system based on differential-gradient evolution
  • Multi-energy short-term economic dispatching method and system based on differential-gradient evolution
  • Multi-energy short-term economic dispatching method and system based on differential-gradient evolution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] Embodiment 1 of the present invention takes a multi-energy complementary system composed of 1 thermal power station, 2 wind farms and 1 runoff hydropower station as an example, with days as the scheduling period, according to figure 1 The overall flow of the multi-energy short-term economic dispatch method based on the difference-gradient evolution algorithm is shown to optimize the output scheme of thermal power units.

[0106] The multi-energy mutual aid coordination system considers the randomness of wind power and hydropower stations, and its short-term power generation scheduling has problems such as lack of wind power and hydropower station data, which leads to poor implementability of dispatching schemes. In the embodiment of the present invention, there is no inspection and maintenance for the units of the thermal power plant, all 10 units are in normal operation, and the data information of the 10 units of thermal power units is shown in Table 1.

[0107] Table...

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 multi-energy short-term economic dispatching method and system based on differential-gradient evolution and belongs to the field of multi-energy optimization dispatching. Themethod comprises steps that for power grids including a wind power plant, a hydropower station and a thermal power unit, a model is built at the minimum coal-fired cost of the thermal power unit on the premise of considering the valve point effect, and model constraints are set; the wind speed is utilized to calculate output of the wind power plant, and output of the hydropower station is calculated through utilizing the inbound flow; output of the thermal power unit is utilized as a decision variable, based on the output of the wind power plant and the output of the hydropower station, the model constraints are utilized to compress the decision space; iterative evolution is performed through utilizing a differential-gradient algorithm in the decision space to obtain the best output of the thermal power unit, and the output of the wind power plant, the output of the hydropower station and the optimal output of the thermal power unit are combined to obtain a scheduling plan of the power grid. The method is advantaged in that the method is not easy to fall into local optimum and can solve a technical problem of dynamic economic dispatching of a multi-energy mutual aid coordination system.

Description

technical field [0001] The invention belongs to the field of multi-energy optimal scheduling, and more specifically relates to a multi-energy short-term economic scheduling method and system based on differential-gradient evolution. Background technique [0002] The traditional multi-energy dynamic economic dispatch problem only includes thermal power units or large and medium-sized hydropower stations. However, in the actual operation of thermal power units, when the steam turbine inlet valve suddenly opens, there will be a wire drawing phenomenon, that is, the "valve point effect", which makes the dynamic economic dispatch target The cost function of thermal power has a series of non-differentiable points, which makes the traditional evolutionary algorithm easy to fall into local optimum in the process of solving the optimization scheduling model. [0003] In addition, with the rapid increase in the number of wind power plants and hydropower stations, and the increasing nu...

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): H02J3/00H02J3/38H02J3/46
CPCH02J3/008H02J3/46H02J3/381H02J2203/20Y02E10/76
Inventor 周建中刘光彪肖小刚张祥莫莉杨钰琪何飞飞舒生茂罗成鑫
Owner CENT CHINA BRANCH OF STATE GRID CORP OF CHINA
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