Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

An economical optimization scheduling method for multi-microgrid active power distribution system with cogeneration of cooling, heating and power

A combined cooling, heating and power supply, economic optimization technology, applied in the field of power systems, can solve the problem of not considering the cooling and heating loads, the actual situation that the active distribution network is connected to multiple microgrids at the same time, and the multi-microgrid cannot be realized. Network and active distribution network parallel solution and other problems

Active Publication Date: 2021-04-06
SOUTHEAST UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] According to the current research, the following outstanding deficiencies are found: 1) A single cogeneration microgrid is taken as the research subject, and the actual situation of simultaneous access to multiple microgrids in the active distribution network is not considered; 2 ) model the multi-microgrid and the active distribution network as independent stakeholders, but when solving the problem, the active distribution network is economically optimal first, and then the "secondary coordination" of the multi-microgrid system is optimal, and the multi-microgrid and active distribution network cannot be realized. Parallel solution of the power grid; 3) In the multi-microgrid active power distribution system, there are only simple electrical load requirements in the multi-microgrid, and the demand for cooling and heating loads is not considered

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
  • An economical optimization scheduling method for multi-microgrid active power distribution system with cogeneration of cooling, heating and power
  • An economical optimization scheduling method for multi-microgrid active power distribution system with cogeneration of cooling, heating and power
  • An economical optimization scheduling method for multi-microgrid active power distribution system with cogeneration of cooling, heating and power

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0086] The present invention will be further described below in conjunction with the accompanying drawings.

[0087] The present invention proposes an economical optimal scheduling method for the multi-microgrid active power distribution system of combined cooling, heating and power supply, such as figure 1 As shown, the steps are as follows:

[0088] Firstly, the structure of active power distribution system of multi-microgrid combined cooling, heating and power supply is analyzed, such as figure 2 The local scheduling layer is composed of wind power generation and energy storage systems, and the joint optimized structure is uploaded to the regional scheduling layer. There is no interaction of electric energy, cold energy, and thermal energy between the multi-type multi-microgrids, and the interaction with the active distribution network is based on the interaction of tie-line electric power.

[0089] (1) Establish local scheduling layer: optimal scheduling model of wind-s...

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 economic optimization scheduling method for multi-micro-grid active power distribution system with combined cooling, heating and power supply. The regional dispatching layer composed of the combined cooling, heating and power microgrid and the active distribution network; then, analyze the equipment in the multi-microgrid of the combined cooling, heating and power generation and establish an economic optimization dispatching model; establish the active distribution network Economic optimal scheduling model; finally, using the interaction value of the tie-line electric power of the combined cooling, heating and power supply type multi-microgrid and the active distribution network as the coupling variable, set up the convergence conditions for the parallel solution of the optimal scheduling of two stakeholders; call it in MATLAB Cplex solves the problem and obtains the scheduling plan. The invention provides an effective, practical and scientific energy optimization scheduling method, which is beneficial to popularization and application of energy saving.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to an economically optimized dispatching method for a multi-microgrid active power distribution system of combined cooling, heating and power generation. Background technique [0002] Under the new form of vigorously promoting energy conservation and emission reduction, increasing the proportion of renewable energy power generation and accelerating the energy revolution, it has become the consensus of the government, enterprises and the public to actively develop distributed power and improve energy utilization efficiency; Cooling heating and power (CCHP) combined power generation system, as a typical representative of micro-energy grid, utilizes primary energy utilization rate as high as 90% through energy cascade, and becomes an important development trend of future energy technology. The management mode and control method of the traditional distribution network are...

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): G06F30/20G06Q10/04G06Q50/06G06F113/04
CPCG06Q10/04G06Q50/06G06F30/20Y04S10/50
Inventor 徐青山李淋
Owner SOUTHEAST UNIV
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
Eureka Blog
Learn More
PatSnap group products