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

An interconnected microgrid and dispatching price optimization method based on distributed agent

A technology of interconnected microgrids and optimization methods, applied in the direction of AC networks, electrical components, circuit devices, etc. with energy trade/energy transmission authority, can solve the problem of limited adjustment range, global optimization of point-to-multipoint communication and distributed component vertical Controls are difficult to deploy and cannot coordinate interests well

Active Publication Date: 2019-01-04
SHANGHAI JIAO TONG UNIV +1
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Limited by the limited capacity of current processors and the limitation of communication investment, rolling real-time correction is difficult to obtain satisfactory tracking performance under centralized strategy; while global optimization, point-to-multipoint communication and vertical control of distributed components are difficult to deploy in large-scale In the wide-area energy management system, the interactive adjustment of the interconnected micro-grid lags behind, and the adjustment range is limited
In addition, centralized decision-making cannot effectively protect the privacy of distributed agents, nor can it coordinate the interests of different participants

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 interconnected microgrid and dispatching price optimization method based on distributed agent
  • An interconnected microgrid and dispatching price optimization method based on distributed agent
  • An interconnected microgrid and dispatching price optimization method based on distributed agent

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0105] figure 1 Shown is a schematic diagram of an interconnected microgrid based on a distributed agent in a preferred embodiment of the present invention, including a microgrid, a microgrid agent, a grid 3, and a tie line 4; the microgrid agent is configured to obtain the local All the necessary information of the microgrid, control the load consumption and adjustable distributed generation in the local microgrid, and communicate with at least one interconnected microgrid agent; the microgrid includes a first microgrid 11, a second Microgrid 12, the third microgrid 13, the fourth microgrid 14 and the fifth microgrid 15; the microgrid agents include the first microgrid agent 21, the second microgrid agent 22, the third microgrid agent 23, the Four microgrid agents 24 and fifth microgrid agents 25 .

[0106] In this embodiment, each microgrid corresponds to a unique microgrid agent, and the first microgrid 11, the second microgrid 12, the third microgrid 13, the fourth microg...

Embodiment 2

[0110] figure 2 Shown is a flow chart of a distributed agent-based dispatching price optimization method for an interconnected microgrid according to another preferred embodiment of the present invention. In this embodiment, the interconnected microgrid includes a first microgrid 11, a second microgrid 12, a third microgrid 13, a fourth microgrid 14 and a fifth microgrid 15, all of which are not physically connected to the grid 3, and the energy flow and Fund flows can only interact in interconnected microgrids; interaction optimization only needs to consider all microgrids in the area, with the goal of minimizing system operating costs. The traditional centralized control strategy needs to transmit all the information of the local microgrid between the microgrid agents, including price, cost function, adjustment power response, etc., which cannot guarantee the user's commercial privacy. In order to solve the problem of user privacy interaction based on distributed agents, t...

Embodiment 3

[0162] Figure 5 It is a flow chart of another preferred embodiment of the present invention based on a distributed agent-based dispatching price optimization method for interconnected microgrids in a grid-connected mode. In this embodiment, the microgrid 11 is connected to the grid 3 through the tie line 4 .

[0163] When the interconnected microgrid system is connected to the grid, it can draw power from the grid, or sell excess power to the grid. Due to the lack of a centralized scheduling center, parallel computing is difficult to optimize under global constraints. Microgrid agents communicate with neighboring microgrid agents and cannot satisfy global constraints on all decision variables that contain incomplete information. In view of this, the original dual perturbation subgradient algorithm is applied to solve this problem. In the grid-connected mode, the distributed agent is based on a two-layer game, iteratively calculates and finally obtains the optimal solution:...

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 interconnected microgrid and a dispatching price optimization method based on a distributed agent, which is characterized in that the method comprises the following steps: apower grid, a microgrid and a microgrid agent; In island mode, the microgrid proxy communicates with each other, obtains local microgrid information, controls load and adjustable distributed generation in the microgrid; In grid-connected mode, the micro-grid agent with leading function monitors the connected power of the grid and communicates with other micro-grid agents. The invention also discloses an interconnected micro-grid dispatching price optimization method based on a distributed agent, which optimizes the global retail bidding of the interconnected micro-grid in an island mode through a privacy protection rumor algorithm. Through consistency algorithm and distributed disturbance primitive-dual sub-gradient algorithm, the optimal price of global constraint in grid-connected modeis estimated and solved. The invention avoids leaking of user privacy, saves investment of communication network and communication equipment, has sensitive tracking performance, and is particularly suitable for price interaction and consistent dispatching of multi-agent interconnected microgrid.

Description

technical field [0001] The invention relates to the field of dispatching methods for interconnected microgrids, in particular to a distributed agent-based multi-agent interconnected microgrid and a scheduling grid optimization method. Background technique [0002] As the number and scale of distributed energy systems increase, proper interaction between interconnected distributed microgrids, as well as with the grid, can significantly support stable or economical operation. Generation from distributed energy sources is often intermittent and difficult to predict. Microgrid generators can draw excess electricity and choose to export it back to the grid, or sell it to other energy consumers when they have surplus electricity. In addition, the uneven distribution of controllable resources may lead to difficulties in achieving real-time power balance in a single microgrid, while local power balance is easily achieved through the interaction of multiple interconnected microgrids...

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): H02J3/00H02J3/38
CPCH02J3/008H02J3/381
Inventor 郝然艾芊魏大钧孙树敏程艳李笋杨明辉袁帅管荑
Owner SHANGHAI JIAO TONG UNIV
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