Server Energy Storage Selection Minimizes Grid Loss
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Solution Overview
Problem
Existing power management methods incur significant energy loss when storing surplus electric power in energy storage resources, including retention loss, input loss, and output loss, which can increase total loss over time.
Innovation Solution
A server system that manages energy storage resources by predicting energy loss for each resource, selecting the most efficient resource based on retention period, input and output losses, and remaining energy levels to minimize overall energy loss during storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If surplus electric power is stored in energy storage resources, then energy can be retained for future use, but energy loss increases due to retention loss, input loss, and output loss
Solution Approach 1:
The patent applies dynamics by making the energy storage selection adaptive and time-dependent. The loss obtaining unit dynamically calculates retention loss based on predicted retention periods, and the selector dynamically chooses energy storage resources based on real-time loss conditions. This dynamic approach allows the system to optimize between retention duration and energy loss by adjusting selection criteria based on current grid conditions and predicted future states.
Solution Approach 2:
The patent changes parameters by considering multiple loss parameters (retention loss, input loss, output loss) simultaneously when selecting energy storage resources. The system calculates total loss as a composite parameter combining these individual losses and uses this comprehensive parameter for selection. This parameter change approach enables balanced optimization across different types of energy losses rather than focusing on a single loss type.
2Reliability
If energy is stored in energy storage resources, then power supply stability is improved, but device complexity increases due to managing multiple energy storage resources
Solution Approach 1:
The patent implements feedback through the loss obtaining unit that continuously monitors and calculates energy loss for each energy storage resource. This feedback mechanism provides real-time information about retention loss, input loss, and output loss, which feeds back to the selector for informed decision-making. The feedback loop enables the system to maintain power supply stability by automatically adjusting energy storage selections based on current loss conditions without requiring complex manual management.
Solution Approach 2:
The system applies self-service by enabling energy storage resources to report their own loss characteristics and availability. Each energy storage resource's loss data is automatically obtained and used for selection decisions, reducing the need for external complex management. The selector autonomously makes decisions based on the collected loss information, allowing the system to manage multiple energy storage resources efficiently without proportionally increasing management complexity.
Data Source
AI summary
A server that manages energy of a power grid by using a plurality of energy storage resources includes a loss obtaining unit and a selector. The loss obtaining unit obtains for each of the plurality of energy storage resources, energy loss including retention loss and input and output loss, the energy loss being caused in storing energy in each energy storage resource. When surplus electric power occurs in the power grid, the selector selects at least one energy storage resource for storing surplus electric power from among the plurality of energy storage resources based on the energy loss caused in storing surplus electric power.