A Decentralized Autonomous Optimization Method for Multiple Virtual Power Plants

A technology of virtual power plant and optimization method, which is applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as difficult distribution network regulation, and achieve the goals of avoiding negative migration, improving optimization efficiency, and increasing optimization speed Effect

Active Publication Date: 2021-07-02
GUANGDONG POWER GRID CO LTD +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a distributed self-discipline optimization method for multi-virtual power plants, which solves the problem that the existing distribution network regulation is difficult to meet the real-time participation of multiple virtual power plants in the power market for profit, and effectively control the grid-connected behavior of distributed equipment to support the distribution network Technical aspects of safe and efficient operation

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
  • A Decentralized Autonomous Optimization Method for Multiple Virtual Power Plants
  • A Decentralized Autonomous Optimization Method for Multiple Virtual Power Plants
  • A Decentralized Autonomous Optimization Method for Multiple Virtual Power Plants

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the present application will be described clearly and completely below with reference to the accompanying drawings in the present application. Obviously, the described embodiments are only a part of the present application. examples, but not all examples. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0052] see figure 1 , figure 1 A flow chart of an implementation manner of the decentralized self-discipline optimization method for multiple virtual power plants provided for this application, the method includes:

[0053] Step 101. Parameter initialization: preset learning factor α, discount factor γ, greedy utilization probability ε, number of optimal agents | J h |, penalty...

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

This application discloses a decentralized self-discipline optimization method for multiple virtual power plants, including: S1, parameter initialization; S2, task classification and formation of an initial knowledge matrix; S3, information acquisition; S4, determination of optimal individual actions; S5, calculation of each agent S6, calculating the reward function; S7, updating the knowledge matrix; S8, information feedback: each agent returns the current optimal solution to the information center; S9, judging whether the maximum number of iterations is reached, and if so, output The optimal knowledge matrix for the corresponding task; otherwise, return to S3. This application discloses a distributed self-discipline optimization method for multi-virtual power plants, which solves the problem that the existing distribution network regulation is difficult to meet the real-time participation of multiple virtual power plants in the power market for profit, and effectively control the grid-connected behavior of distributed equipment to support the distribution network. Technical aspects of safe and efficient operation.

Description

technical field [0001] The present application relates to the technical field of distribution network scheduling, in particular to a decentralized self-discipline optimization method for multiple virtual power plants. Background technique [0002] With the development of energy utilization technology, a large number of distributed power sources are connected to the distribution network, and the number of distributed energy storage systems and controllable loads is also increasing day by day. On the one hand, due to the huge number, the impact of its comprehensive effect on the power grid cannot be ignored; on the other hand, its huge number makes it impossible for the power grid to directly dispatch each distributed equipment separately, and the impact of a single device on the power grid is very small. Direct control of a single device makes little sense. And the construction of the electricity market is progressing in an orderly manner. Due to the characteristics of smal...

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): H02J3/38H02J3/46G06Q10/04G06Q50/06G06N20/00
CPCG06Q10/04G06Q50/06G06N20/00H02J3/382H02J3/46
Inventor 赵瑞锋王彬郭文鑫卢建刚刘文涛李世明李波徐展强
Owner GUANGDONG POWER GRID CO LTD
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