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

An Economic Dispatch Method of Microgrid Based on Distributed Network Control

A distributed network and distributed control technology, applied in AC network circuits, load forecasting in AC networks, electrical components, etc., can solve problems such as damage to system balance, difficulty in economic scheduling of microgrids, and fluctuations in load demand.

Active Publication Date: 2021-01-29
STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST +2
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, renewable energy power generation depends on the external environment, its output has obvious randomness, and the load demand has fluctuations. At the same time, the inertia of the microgrid itself is small, and the two-way flow of the power flow. Economic dispatch of microgrids becomes very difficult
[0003] At present, the average consensus algorithm has been widely used in the economic dispatch of microgrids, but there are two problems: 1) In the iterative process, the average consensus algorithm will destroy the system balance; Nodes with centralized functions cannot achieve complete distribution

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 Economic Dispatch Method of Microgrid Based on Distributed Network Control
  • An Economic Dispatch Method of Microgrid Based on Distributed Network Control
  • An Economic Dispatch Method of Microgrid Based on Distributed Network Control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0078] Example: such as Figure 1 to Figure 8 Shown; An economic dispatch method for microgrid based on distributed network control, which includes:

[0079] S1: According to the economic dispatch model, the theoretical optimal output formula of the controllable distributed generation DG is derived under the constraints;

[0080] S2: Construct a communication network according to the two-layer control model of the micro-grid; the two-layer control model of the micro-grid includes: a lower-layer micro-grid and an upper-layer communication network;

[0081] S3: Design a weight matrix according to the upper-layer communication network, and obtain a distributed control law according to the weight matrix;

[0082] S4: Calculate the set value according to the distributed control law, adjust the output of the controllable distributed generation DG according to the calculated set value, and realize the economical optimal dispatch of the microgrid.

[0083] More specifically, step 1)...

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 micro-grid economic scheduling method based on distributed network control, which includes S1: according to the economic scheduling model, deduce the theoretical optimal output formula of the controllable distributed generation DG under constraint conditions; S2: according to the micro-grid The two-layer control model of the power grid constructs the communication network; the two-layer control model of the microgrid includes: the lower microgrid and the upper communication network; S3: Design the weight matrix according to the upper communication network, and obtain the distributed control law according to the weight matrix; S4: According to The distributed control law calculates the set value, and adjusts the output of the controllable distributed generation DG according to the calculated set value, so as to realize the economical optimal dispatch of the microgrid. The beneficial effects obtained by the present invention are: by realizing that the micro-increasing rates of all controllable DGs are equal, the total power generation cost of the microgrid can be minimized; the weight matrix is ​​designed to facilitate the algorithm design; in the iterative process, it can be guaranteed System power balance.

Description

technical field [0001] The invention relates to the technical field of micro-grid distributed control, in particular to a micro-grid economic scheduling method based on distributed network control. Background technique [0002] In recent years, distributed generation (Distributed Generation, DG) relying on renewable energy has developed rapidly, and microgrid, as an effective management form of distributed Power supply reliability and stability are of great significance. However, renewable energy power generation depends on the external environment, its output has obvious randomness, and the load demand has fluctuations. At the same time, the inertia of the microgrid itself is small, and the two-way flow of the power flow. Economic dispatch of microgrids becomes very difficult. [0003] At present, the average consensus algorithm has been widely used in the economic dispatch of microgrids, but there are two problems: 1) In the iterative process, the average consensus algor...

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): H02J3/00H02J3/38G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q10/06315G06Q50/06H02J3/382H02J3/00H02J3/003H02J2203/20Y02E40/70Y04S10/50
Inventor 夏海波李强王建国徐瑞林陈涛陈民铀李哲李俊杰
Owner STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST
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