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

Distributed photovoltaic project spontaneous self-use comprehensive electricity price prediction method

A distributed photovoltaic, self-use technology, applied in forecasting, data processing applications, instruments, etc., can solve the problem that the integrated electricity price of distributed photovoltaic projects cannot be accurately predicted

Active Publication Date: 2019-04-16
远景能源(南京)软件技术有限公司 +1
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the problem that the self-consumption comprehensive electricity price of distributed photovoltaic projects cannot be accurately predicted, and proposes a distributed photovoltaic project self-consumption comprehensive electricity price prediction method, based on local historical radiation data and enterprise power load data, to predict the self-consumption electricity price

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
  • Distributed photovoltaic project spontaneous self-use comprehensive electricity price prediction method
  • Distributed photovoltaic project spontaneous self-use comprehensive electricity price prediction method
  • Distributed photovoltaic project spontaneous self-use comprehensive electricity price prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The self-consumption comprehensive electricity price forecasting method of distributed photovoltaic projects includes the following steps:

[0031] 1) According to the local longitude and latitude, obtain the local historical radiation data, and evaluate the system efficiency of the self-contained distributed photovoltaic power station at the same time, integrate the historical radiation data and the system efficiency of the distributed photovoltaic power station, and calculate the power generation of the power station. The current mainstream radiation data can be accurate to the hour level, through which the annual hour-level power generation forecast of the distributed photovoltaic power plant can be obtained;

[0032] 2) Obtain the electricity load of the enterprise by measuring or obtaining historical data, and judge the hourly electricity consumption: Randomly extract n pieces of instantaneous power data within each hour of the electricity load of the enterprise (sp...

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 relates to a distributed photovoltaic project spontaneous self-use comprehensive electricity price prediction method, and the method comprises the steps: predicting the hour-level generating capacity of a photovoltaic power station according to the historical irradiation data of a site selection place of the power station; obtaining power consumption load data of the power consumption enterprise, comparing the power consumption load with the photovoltaic power generation power in different time periods, and judging the consumption types in different time periods; and according tothe constructed model, measuring and calculating the enterprise consumption distributed photovoltaic power in different time periods, and finally obtaining the self-generation and self-use comprehensive electricity price of the enterprise. The problem that the spontaneous self-use electricity price cannot be well predicted in the previous distributed photovoltaic industry is solved. The prediction can help the distributed photovoltaic power station investment enterprises to more accurately evaluate the investment income condition of the distributed photovoltaic power station. And the earlier-stage investment income analysis and decision making of the distributed photovoltaic project are more scientific and effective.

Description

technical field [0001] The invention relates to a distributed photovoltaic project management technology, in particular to a distributed photovoltaic project self-generated integrated electricity price prediction method. Background technique [0002] With the rapid development of distributed photovoltaic industry in recent years, distributed photovoltaic has been accepted by more and more enterprises. Based on the economics of distributed projects and the latest policy requirements, the project of "spontaneous self-use and surplus electricity connected to the grid" has become the mainstream of the industrial and commercial distributed photovoltaic industry. "Spontaneous generation and self-use, surplus electricity connected to the grid" means that the electricity generated by the distributed photovoltaic power generation system is used by the roof owner first, and the excess electricity is fed into the grid. "Spontaneous generation and self-use, surplus electricity connecte...

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): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 王进强肖杰宫照天孙捷徐宁李云
Owner 远景能源(南京)软件技术有限公司
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