Energy Storage Management System Power Allocation
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Solution Overview
Problem
Existing battery energy storage systems face inefficiencies in power output due to controllers generating commands based on an average state of charge (SOC) of batteries, leading to reduced total power output when one battery's SOC falls out of the allowable range, affecting overall system performance.
Innovation Solution
An energy management system that identifies setting target ESSs based on SOC and total power commands, determines power output or charging orders, and generates ESS power commands to optimize power allocation among batteries, ensuring efficient operation by considering the SOC of each battery and allocating power based on the equation Allocation Power Magnitude=(SOC/SOCav)×(P/N), where SOC is the battery's state of charge, SOCav is the average SOC, P is the total power command, and N is the number of setting target ESSs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the controller generates output commands based on an average SOC of all batteries, then the power allocation is simplified and easy to implement, but the total power output is reduced when one battery's SOC falls out of the allowable range
Solution Approach 1:
The patent segments the power allocation process into two stages: first dividing the total power command equally among all ESSs, then adjusting individual power commands based on each ESS's SOC status. This segmentation allows the system to maintain simplicity while avoiding the power reduction issue by isolating the SOC check to a separate adjustment stage rather than the initial allocation stage.
Solution Approach 2:
The patent performs preliminary power allocation by dividing the total power command equally among all ESSs before checking SOC conditions. This preliminary action ensures that the maximum possible power is allocated initially, and only then are adjustments made if any battery's SOC falls out of the allowable range, thereby preventing unnecessary power reduction.
2Reliability
If the controller stops power output from one ESS when its battery SOC is out of range, then the battery is protected from damage, but the overall system power output is smaller than the sum of output commands
Solution Approach 1:
The patent implements dynamic power command adjustment where the power command for each ESS is modified in real-time based on its SOC status. When a battery's SOC falls out of the allowable range, only that specific ESS's power command is adjusted, while other ESSs continue to operate at their allocated power levels, maintaining overall system productivity while still protecting the affected battery.
Solution Approach 2:
The patent applies local quality by treating each ESS independently in terms of SOC monitoring and power adjustment. Instead of stopping power output from the entire system when one battery has problematic SOC, the system applies protective measures locally to only the affected ESS, allowing other ESSs with normal SOC to continue contributing to system power output.
3Device complexity
If the controller transmits the same output command value to all ESSs, then the control logic is simplified, but the energy stored in each battery is not used with high efficiency
Solution Approach 1:
The patent applies partial action by transmitting the same base output command to all ESSs initially, then applying partial adjustments only to those ESSs whose batteries have SOC outside the allowable range. This approach maintains the simplicity of uniform command transmission while adding minimal complexity to handle energy utilization efficiency for affected ESSs.
Data Source
AI summary
Disclosed embodiments relate to a control method of an energy management and more particularly, to an energy management system which is capable of reflecting a state of each energy storage system in the energy management system.