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Energy internet new energy consumption capability assessment method based on edge intelligence

A technology of energy Internet and consumption capacity, which is applied in the field of evaluation of new energy consumption capacity of the Energy Internet, can solve the problems of inability to maximize the consumption of new energy, reduce a large number of data uploads, reduce energy use, and improve peak shaving effect of ability

Pending Publication Date: 2021-09-03
STATE GRID HEILONGJIANG ELECTRIC POWER COMPANY +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the maximum consumption of new energy cannot be realized in the existing IoE, and propose an evaluation method for the new energy consumption capacity of the Energy Internet based on edge intelligence

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  • Energy internet new energy consumption capability assessment method based on edge intelligence
  • Energy internet new energy consumption capability assessment method based on edge intelligence
  • Energy internet new energy consumption capability assessment method based on edge intelligence

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Experimental program
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specific Embodiment approach 1

[0033] Specific implementation mode 1: The specific process of this implementation mode is based on the evaluation method of the new energy consumption capacity of the energy Internet based on edge intelligence:

[0034] In IoE, the problem of improving the capacity of new energy consumption has attracted the attention of many researchers. in the literature [3] , to manage energy through real-time economic dispatch in microgrids. To address energy management issues, the literature [13] A coordinated scheduling method for total generators and grid energy storage is proposed. exist [14] In , a new multi-time-scale strategy is investigated to improve energy consumption. However, the above methods can only be applied to current energy management and cannot handle emergency situations in real time. Therefore, this paper introduces a rotating reserve capacity that can handle unexpected changes.

[0035] This paper proposes edge intelligence technology to improve the consumptio...

specific Embodiment approach 2

[0090] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in the step 1, the measuring terminal collects data sets from the power generation unit and the load unit (user demand electricity) through the wireless channel; the specific process is:

[0091] The power generation unit includes a conventional power generation unit and a new energy power generation unit;

[0092] New energy power generation units include photovoltaic power generation energy and wind power generation units.

[0093] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0094] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that in the step two, the deep learning layer (DL layer) based on the GRU algorithm processes the data set obtained in the step one to obtain the processed data set; the specific process is:

[0095] The data set obtained in step 1 (X t-1 ,X t ,X t+1 ,…) input to the data preprocessing unit of the deep learning layer (DL layer), and get will get Input the prediction unit of the deep learning layer (DL layer), get (Y t-1 ,Y t ,Y t+1 ,…).

[0096] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

The invention discloses an energy internet new energy consumption capability assessment method based on edge intelligence, and relates to an energy internet new energy consumption capability assessment method. The objective of the invention is to solve the problem that maximum consumption of new energy cannot be realized in the existing IoE. The energy internet new energy consumption capability assessment method based on edge intelligence specifically comprises the following steps: 1, enabling a measurement terminal to collect a data set from a power generation unit and a load unit through a wireless channel; 2, processing the data set obtained in the step 1 by a deep learning layer based on a GRU algorithm to obtain a processed data set; and step 3, carrying out new energy consumption processing on the processed data set obtained in the step 2 based on a reinforcement learning layer of a PPO algorithm to obtain a new energy consumption maximization strategy. The invention is applied to the field of new energy consumption.

Description

technical field [0001] The invention relates to a method for evaluating new energy consumption capacity of the Energy Internet. Background technique [0002] Internet of Energy (IoE), as a typical application of Industrial Internet of Things, integrates distributed generation (Distributed Generations, DG) and smart devices [1] . The high penetration rate of new energy sources (Renewable Energy Sources, RES) improves the flexibility and sustainability of IoE. However, due to the influence of natural conditions, the power generation of new energy is uncertain, which makes IoE intermittent and volatile. [2] . Therefore, in order to maximize the absorption of RES, the IoE faces great challenges. [0003] In order to improve the consumption of new energy, extensive research has been conducted on the reasonable scheduling of IoE. exist [3] In , a dynamic energy management system is proposed and an energy storage unit is considered. In microgrids, the literature [4] Use the...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0639G06Q50/06Y02P90/82
Inventor 兰天李俊关心杨雪晴
Owner STATE GRID HEILONGJIANG ELECTRIC POWER COMPANY
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