Energy Storage Charging Control Using Time-Variant SoS Limits
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Solution Overview
Problem
Existing power systems face inefficiencies in managing energy storage, particularly in determining optimal charging and discharging strategies based on time-variant state-of-storage thresholds, leading to potential power dissipation and suboptimal energy utilization.
Innovation Solution
A power management system that includes a controller to determine a time-variant state-of-storage upper threshold (SUT) and state-of-storage (SoS) of an energy storage, which charges or discharges the storage based on power production and consumption predictions, ensuring efficient energy utilization and minimizing power dissipation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If energy storage is charged or discharged based on fixed thresholds, then control simplicity is maintained, but energy utilization efficiency deteriorates and power dissipation increases
Solution Approach 1:
The patent implements dynamic state-of-storage thresholds that automatically adjust based on predicted power production and consumption patterns. Instead of fixed thresholds, the system calculates time-variant upper and lower thresholds by comparing predicted excess power production with load requirements, enabling optimal charging/discharging decisions that adapt to changing conditions while maintaining automated control
Solution Approach 2:
The system performs preliminary power production and consumption predictions to determine optimal charging/discharging thresholds before actual energy storage operations. By predicting excess power production and load requirements in advance, the system pre-calculates appropriate state-of-storage thresholds, avoiding reactive control and enabling proactive energy management that maximizes utilization efficiency
2Loss of energy
If energy storage is charged during periods of excess power production, then energy wastage is reduced, but state-of-storage management complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where actual power production and consumption data continuously update the prediction models. The system monitors real-time state-of-storage levels and compares them against dynamically calculated thresholds, using this feedback to adjust charging/discharging decisions. This closed-loop control ensures energy is charged during excess production periods while maintaining automated threshold management through learned patterns
Solution Approach 2:
The system implements self-service through automated prediction and threshold adjustment without requiring manual intervention. The power management controller autonomously predicts power production and consumption, calculates optimal state-of-storage thresholds, and executes charging/discharging decisions based on these predictions, reducing the need for external management while minimizing power dissipation
3Productivity
If time-variant state-of-storage thresholds are implemented, then energy utilization is optimized, but computational requirements and system complexity increase
Solution Approach 1:
The system performs preliminary predictions of power production and consumption to establish time-variant thresholds before operational periods begin. By pre-calculating expected excess power production and load requirements, the system determines appropriate state-of-storage thresholds in advance, reducing real-time computational burden while maintaining optimized energy utilization through adaptive threshold management
Solution Approach 2:
The patent changes the parameter of state-of-storage thresholds from fixed values to time-variant parameters that evolve based on predicted power production and consumption patterns. This parameter transformation enables the system to adapt thresholds dynamically, optimizing energy utilization by charging when excess production is predicted and discharging when load requirements exceed production, without requiring complex real-time calculations
Data Source
AI summary
A system which may comprise an energy storage, a storage interface and a controller. The energy storage may have a fining energy capacity. The storage interface may be coupled to the energy storage and may be configured to charge or discharge the energy storage. The controller may be configured to determine a state-of-storage (SoS) of the energy storage. The controller may further be configured to control the storage interface to charge and discharge the energy storage based on the state-of-storage of the energy storage, and based on a time-variant state-of-storage upper threshold.