Microgrid Energy Storage Power Allocation for State-of-Charge Balance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Balancing the charging and discharging of microgrids with diverse energy storage systems, such as batteries and fuel cells, is challenging due to varying power and energy capacities and states of charge, which can affect the health and longevity of these systems.
Innovation Solution
A method and system where a microgrid controller allocates total charge or discharge requests across energy storage systems based on their usable energy capacity, calculated from their current energy and state of charge, ensuring balanced distribution and preventing overloading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If energy storage systems with different power and energy capacities are charged or discharged uniformly, then the charging/discharging process is simple to control, but the health and life of the energy storage systems are negatively affected due to unbalanced charge distribution
Solution Approach 1:
The patent applies local quality by allocating charge or discharge power differently to each energy storage system based on its individual characteristics (power capacity, energy capacity, state of charge). Instead of uniform distribution, each system receives a customized allocation that considers its specific capabilities and current state, thereby protecting system health while maintaining operational simplicity through centralized control logic.
2Productivity
If charge or discharge power is allocated based on maximum capacity, then the productivity of energy storage systems is maximized, but the state of charge becomes unbalanced affecting system reliability
Solution Approach 1:
The patent implements dynamics by making the charge/discharge power allocation adaptive and dynamic rather than static. The allocation continuously adjusts based on real-time state of charge levels, power capacities, and energy capacities of each system. This dynamic approach allows the system to maximize productivity when conditions permit while automatically maintaining state of charge balance, resolving the contradiction between output maximization and reliability.
3Reliability
If distributed cooperative control with consensus algorithms is used to balance state of charge, then the reliability of energy storage systems is improved, but the device complexity increases due to communication networks and control algorithms
Solution Approach 1:
The patent employs an intermediary approach by introducing a central controller that acts as a mediator between energy storage systems. This central controller receives information about system capacities and states, performs the complex allocation calculations, and distributes optimized charge/discharge commands to individual systems. This intermediary structure maintains reliability through balanced state of charge management while reducing overall system complexity by centralizing the computational burden rather than requiring complex peer-to-peer communication and consensus algorithms at each node.
Data Source
AI summary
A method of allocating power across a microgrid having a plurality of energy storage systems with different power and/or energy capacities, and different states of charge. The method includes allocating a total charge request and/or a total discharge request across the energy storage systems as a function of a usable energy capacity of each energy storage system.


