Power grid regulation and control method based on layered depth strategy gradient network

A gradient network, power grid regulation technology, used in data processing applications, instruments, computing, etc.

Pending Publication Date: 2022-07-05
XI AN JIAOTONG UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a grid control method based on a layered deep strategy gradient network, and learn a large amount of grid control knowledge based on the inter

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
  • Power grid regulation and control method based on layered depth strategy gradient network
  • Power grid regulation and control method based on layered depth strategy gradient network
  • Power grid regulation and control method based on layered depth strategy gradient network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0040] like figure 1 As shown, the present invention is a power grid regulation method based on a layered deep policy gradient network, comprising the following steps:

[0041] Step 1: Obtain grid information and construct state space and action space.

[0042] The state space and action space of the power grid are both composed of continuous space variables and discrete space variables. Generally, the continuous space variables of the state space include time, generator power and terminal voltage, load power, node voltage, line power flow value and voltage, etc. The discrete space variables mainly include network topology. The continuous variables of the action space include generator output adjustment and load power adjustment, etc., and the discrete variables include the on-off state of the transmission line and the connection topology betw...

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 power grid regulation and control method based on a layered depth strategy gradient network. A state representation vector and an action representation vector of a power grid are designed for the power grid; the motion space is clustered, so that the motion number of each cluster is equal, a power grid regulation and control model is designed based on a layered strategy gradient network by taking a state representation vector as the input of the network and using a strategy gradient algorithm, the model has two layers, each layer is an independent strategy gradient model, the first layer selects the motion cluster firstly, and the second layer selects the motion cluster; the second layer selects specific actions in the cluster, and continuous decision making is carried out; based on a discrete power grid operation data set of a simulated power grid environment, the model and the simulated power grid operation environment are interacted, a current state is obtained from the simulated power grid operation environment, and a power grid action to be executed is executed by the simulated power grid operation environment, so that the purpose of power grid regulation and control is achieved. The invention provides a feasible means for real-time regulation and control of the power grid.

Description

technical field [0001] The invention belongs to the technical field of smart grids, relates to artificial intelligence enhancement of power flow regulation of power grids, and particularly relates to a power grid regulation method based on a layered deep policy gradient network. Background technique [0002] The power grid is the core infrastructure for the operation of the national economy, and it is a high-dimensional tightly coupled complex dynamic system. Plays a central economic and social role by providing reliable power to industry, services and consumers. The power grid operation scheduling and regulation highly relies on the safety and stability automation device as the first security line of defense. After the line of defense fails, the final security of the entire system is guaranteed by people's experience and cognitive decision on the power grid. [0003] It is difficult for the traditional power grid regulation system to adjust the regulation strategy in time,...

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
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/23213G06F18/23Y04S10/50
Inventor 杜友田解圣源王晨希郭子豪
Owner XI AN JIAOTONG 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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap