Power Sale Timing Control via Group Storage Prediction
Solution Overview
Problem
Existing power sale timing determination systems for renewable energy generators, such as solar power devices, cannot accurately determine advantageous sale times due to unknown stored power amounts of other users, leading to suboptimal pricing in market trading.
Innovation Solution
A power sale timing optimum control system that predicts total demand and suppliable power within a customer group by acquiring and analyzing stored power amounts, demand, and generation data from multiple customers, allowing for informed timing decisions based on predicted ratios and shortages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power sale timing is determined without knowing other users' stored power amounts, then the system is simple to operate, but the power sale pricing becomes suboptimal
Solution Approach 1:
The system implements feedback by collecting stored power amount information from multiple users, predicting total demand and total suppliable power, and using this feedback to determine optimal power sale timing. The timing determination unit continuously monitors and adjusts sale timing based on the feedback loop of demand-supply predictions
Solution Approach 2:
The system introduces an intermediary mechanism (the power sale timing determination device) that aggregates information from multiple users, performs predictions, and provides optimized timing recommendations. This intermediary resolves the information asymmetry problem by centralizing data collection and analysis
2Quantity of substance
If power sale is performed when total demand exceeds total suppliable power, then higher power prices can be achieved, but the system complexity increases due to prediction requirements
Solution Approach 1:
The system segments the power market into multiple users with storage batteries and power generation devices, analyzing each user's stored power amount separately before aggregating to predict total demand and total suppliable power. This segmentation allows for manageable data collection and prediction
Solution Approach 2:
The system performs preliminary actions by predicting total demand and total suppliable power in advance before actual power trading occurs. This advance prediction enables users to determine optimal sale timing ahead of time, capturing higher prices without last-minute complexity
Data Source
AI summary
This power sale timing optimum control system is provided with a communication unit, a demand prediction unit, a supply prediction unit, and a timing determination unit. The communication unit acquires the amount of power stored in each of multiple power storage devices. The demand prediction unit predicts a total amount of demand on power in a utility customer group. On the basis of the acquired amount of stored power, the supply prediction unit predicts the total amount of suppliable power that can be supplied in the utility customer group. The timing determination unit determines a power sale timing on the basis of the predicted total amount of demand and the predicted total amount of suppliable power.


