Controller Predicts Power Consumption to Avoid Shortfalls
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Solution Overview
Problem
Existing community energy management systems face challenges in ensuring certainty in avoiding a shortfall in the amount of power reserved for purchase from the grid.
Innovation Solution
An information processing apparatus with a communication interface and controller that predicts power consumption and generation, adjusts power purchase and sale strategies, and optimizes power storage to ensure sufficient power supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power purchase and sale amounts are reserved in advance for the grid, then power supply planning is improved, but certainty in avoiding power shortfalls deteriorates
Solution Approach 1:
The system performs preliminary power consumption prediction and reserve amount determination before the actual power trading period. The controller predicts power consumption amounts for each time unit in advance, determines appropriate reserve amounts based on these predictions, and transmits reserve information to the grid beforehand. This preliminary action enables the system to prepare for potential power shortfalls while maintaining manageable complexity through automated forecasting algorithms.
Solution Approach 2:
The system establishes a feedback loop where the controller continuously monitors actual power consumption against predicted values, compares reserve amounts with actual needs, and adjusts future predictions and reserve determinations accordingly. This feedback mechanism improves reliability by learning from past performance while keeping the management system adaptive rather than overly complex, as the same core algorithms are reused with updated parameters.
2Measurement precision
If power consumption prediction is performed for each time unit, then power supply accuracy is improved, but computational complexity increases
Solution Approach 1:
The prediction system divides the power consumption forecast into discrete time units (e.g., hourly or half-hourly intervals) rather than providing a single aggregate prediction. For each time unit, the controller independently predicts consumption amounts, determines reserve requirements, and manages power transactions. This segmentation improves measurement precision by capturing temporal variations in consumption patterns while managing computational complexity through modular, repeatable prediction steps that can be processed sequentially.
Data Source
AI summary
An information processing apparatus includes a communication interface, and a controller configured to communicate using the communication interface, determine, based on a prediction of amounts of power to be consumed in a jurisdiction in a predetermined time period including a plurality of time units, amounts of power to be purchased from a grid, and amounts of power to be generated or discharged by a distributed power source, for covering the amounts to be consumed, and after transmitting information for reserving the amounts to be purchased, increase an amount of power to be generated in a first time unit in a case in which a consumed amount corresponding to the first time unit is predicted to be less than a criterion.