PV Power Prediction Using Conditional Sky Image Reforecasting
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Solution Overview
Problem
Existing electric power generation prediction technologies require high processing loads for charge-discharge control, which is inefficient and resource-intensive.
Innovation Solution
A prediction apparatus and method that acquires a progression of predicted electric power values from photovoltaic power generation equipment and modifies or re-predicts these values using sky images only when a predetermined condition is met, reducing unnecessary processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous high-precision electric power generation prediction is performed for charge-discharge control, then prediction accuracy is improved, but processing load increases
Solution Approach 1:
The system performs image-based prediction only at predetermined intervals or when specific conditions are met, rather than continuously. The prediction unit acquires sky images and performs prediction processing periodically, reducing overall processing load while maintaining necessary prediction accuracy for charge-discharge control operations.
Solution Approach 2:
The system performs prediction processing in advance based on acquired sky images before charge-discharge control is needed. By predicting electric power generation amounts ahead of time using image data, the system prepares prediction results proactively, reducing the need for continuous real-time processing while ensuring accuracy when control decisions are required.
2Measurement precision
If image-based prediction is performed continuously, then prediction precision is improved, but resource consumption increases
Solution Approach 1:
The prediction unit performs image acquisition and prediction processing only at predetermined intervals or when specific conditions are satisfied, rather than continuously. This periodic operation maintains prediction precision when needed while significantly reducing energy consumption and resource usage during periods when continuous monitoring is not necessary.
Solution Approach 2:
The system changes the operational parameters of the prediction unit based on conditions. Instead of operating at constant high precision continuously, the system adjusts when image-based prediction is performed, changing the frequency and timing of processing operations to optimize the balance between prediction precision and resource consumption.
Data Source
AI summary
A prediction apparatus (10) includes an acquisition unit (110) and a prediction unit (130). The acquisition unit (110) acquires a progression of predicted values of a first amount of electric power supply. The first amount of electric power supply is an amount of electric power supply from a source of electric power supply including at least one piece of photovoltaic power generation equipment to a supply target. In a case where a predetermined condition is satisfied, the prediction unit (130) modifies or re-predicts the progression of predicted values of the first amount of electric power supply by using an image. The image is an image acquired by capturing an image of the sky around the photovoltaic power generation equipment.