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Intelligent power grid prediction method based on cloud computing

A technology of smart grid and prediction method, applied in the field of smart grid, can solve problems such as ignoring energy exchange of microgrid

Inactive Publication Date: 2020-11-27
STATE GRID HEBEI ELECTRIC POWER CO LTD +2
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Existing related work considers the use of cloud computing framework for smart grid information management, but ignores the energy exchange between microgrids

Method used

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  • Intelligent power grid prediction method based on cloud computing
  • Intelligent power grid prediction method based on cloud computing
  • Intelligent power grid prediction method based on cloud computing

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Embodiment Construction

[0035] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and examples. It should be noted that, in the case of no conflict, the embodiments and the technical features therein can be combined with each other.

[0036] The invention proposes a cloud-based smart grid energy forecasting scheme to realize a green and energy-saving smart grid communication strategy. By sending the real-time power supply and demand information of the microgrid to the cloud, a reasonable deployment plan is evaluated in the cloud computing environment. Furthermore, the present invention also proposes an optimal scheme for uploading real-time supply and demand information to the cloud, which can maximize the effect of the microgrid while fully reducing energy consumption during the forecasting process. According to the real-time energy supply and demand situation, the present invention distinguishes the states of the microg...

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Abstract

The invention discloses an intelligent power grid prediction method based on cloud computing, and the method comprises the following steps: transmitting the real-time power supply and demand information of a microgrid to a cloud, and predicting the real-time state of each microgrid in a cloud computing environment; wherein the cost of energy prediction is composed of uploading, downloading and calculating costs of data, and the micro-grid optimization target based on cloud computing is to minimize the calculation cost. Energy waste and carbon dioxide emission in the working process of the microgrid are reduced to the maximum extent, and the green power grid communication is achieved. The method has remarkable effectiveness in the aspects of reducing energy consumption and reducing carbon dioxide emission, and meanwhile, the communication transmission in the energy prediction process is minimized.

Description

technical field [0001] The invention belongs to the field of smart grids, and in particular relates to a smart grid prediction method based on cloud computing. Background technique [0002] The two-way communication network in the smart grid helps to realize the exchange of real-time supply and demand information in the grid and achieve the balance of supply and demand. Among them, the microgrid system is an important part of the two-way communication network. Microgrids work in a distributed manner to distribute power from renewable or non-renewable sources to end users, coordinating supply and demand. Microgrids can “buy” power from other microgrids when power demand is higher than supply, and “sell” power to other microgrids when power supply is greater than actual demand. Through such a deployment mechanism, effective cooperation between microgrids can be achieved and a stable smart grid system can be established. But on the other hand, microgrids need to process real...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06G06F9/50
CPCG06F9/5072G06Q10/04G06Q30/0206G06Q50/06Y02D10/00
Inventor 王强李一鹏刘文宗杨立波周联友潘建华马斌刘佳王晓蔚
Owner STATE GRID HEBEI ELECTRIC POWER CO LTD
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