Energy Storage Control Apparatus Using Remaining Capacity Change Model
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Solution Overview
Problem
Existing energy storage systems struggle to effectively manage charging and discharging to respond to multiple energy service requests due to reliance on current state conditions, leading to insufficient capacity for certain services.
Innovation Solution
A control apparatus that determines a remaining capacity change model to estimate temporal changes based on charging/discharging for each energy storage system, enabling the computation of charging/discharging plans that account for future situations and multiple energy services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If charging/discharging output is determined based on current state only, then control simplicity is maintained, but ability to respond to multiple energy service requests deteriorates
Solution Approach 1:
The control apparatus performs preliminary computation of charging/discharging plans by determining remaining capacity change models in advance. The operation planning unit computes optimal charging/discharging schedules considering future temporal changes in remaining capacity before actual energy service requests occur, enabling the system to proactively prepare for multiple service scenarios rather than reactively responding to current state only.
2Productivity
If charging/discharging plan is computed without considering temporal change of remaining capacity, then computation speed is maintained, but accuracy of capacity management deteriorates
Solution Approach 1:
The control apparatus transforms the static remaining capacity parameter into a dynamic temporal model by determining remaining capacity change models that estimate how remaining capacity evolves over time. The operation planning unit utilizes these temporal models to compute charging/discharging plans that account for future capacity states, thereby improving measurement precision of capacity management while maintaining computational efficiency through model-based estimation rather than exhaustive simulation.
3Adaptability or versatility
If multiple energy services are supported simultaneously, then adaptability improves, but device complexity increases
Solution Approach 1:
The control apparatus implements a universal operation planning unit that can compute charging/discharging plans for multiple different energy services (frequency regulation, peak shaving, energy arbitrage, etc.) using a unified framework. The remaining capacity change model serves as a multi-functional tool that adapts to different service requirements, allowing the system to support diverse energy services simultaneously without proportionally increasing control system complexity.
Data Source
AI summary
The present invention provides a control apparatus (100) that includes a remaining capacity change model determination unit (120) that determines a remaining capacity change model that estimates a temporal change of a remaining capacity which is based on charging/discharging in accordance with a first energy service for each of a plurality of energy storage systems that perform charging/discharging in accordance with energy services; and an operation planning unit (130) that computes a charging/discharging plan of each of the plurality of energy storage systems based on the remaining capacity change model of each of the plurality of energy storage systems.