Non-constant Slope Droop Control for Power Systems
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Solution Overview
Problem
Traditional droop control procedures in electric power systems with energy storage modules lead to instability due to fixed slope control, increasing complexity and cost when centralized control is employed to address variable capacity issues.
Innovation Solution
Implementing non-constant slope droop control lines, which can be piece-wise linear or have variable curvature, that adjust based on state of charge, health, energy, power, and temperature measurements of energy storage modules, allowing for autonomous operation and reducing reliance on centralized control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed-slope linear droop control is used, then the control procedure is simple, but system stability deteriorates when energy storage capacity changes
Solution Approach 1:
The patent implements dynamic droop control by making the droop slope variable rather than fixed. The controller adjusts the droop slope in real-time based on the state of charge of the energy storage module, transitioning from a static fixed-slope approach to a dynamic adaptive approach that maintains stability across varying capacity conditions.
Solution Approach 2:
The patent changes the droop control parameter (slope) dynamically based on energy storage state. By modifying the droop slope parameter according to state of charge levels, the system adapts to changing capacity conditions without requiring complex centralized control architecture.
2Reliability
If centralized control scheme is employed to handle variable capacity, then system stability is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables each energy storage module to autonomously adjust its own droop control parameters based on its state of charge. This self-service approach eliminates the need for complex centralized control, as each module independently adapts to its capacity conditions while maintaining overall system stability.
Solution Approach 2:
The patent dynamically adjusts droop control parameters at the distributed level rather than through centralized coordination. By changing the droop slope parameter locally based on state of charge, the system achieves stability without the complexity of centralized control architecture.
3Ease of operation
If fixed-slope droop control is used, then control implementation is simple, but adaptability to varying energy storage capacity deteriorates
Solution Approach 1:
The patent transitions from static fixed-slope control to dynamic droop control where the slope automatically adjusts with state of charge. This dynamic approach maintains ease of operation through automated adjustment while significantly improving adaptability to varying energy storage capacity.
Solution Approach 2:
The patent modifies the droop slope parameter dynamically based on state of charge measurements. This parameter change approach maintains implementation simplicity through automated control logic while achieving high adaptability to different capacity conditions throughout the energy storage lifecycle.
Data Source
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AI summary
There is provided a system (100) that includes a processor. The system (100) also includes a memory (1104) that stores instructions; when executed by the processor (1102), the instructions configure the processor (1102) to perform certain operations. The operations include receiving sensor measurements from an electric power source or device (104) and generating, based on the sensor measurements, a droop control procedure (800) that includes a droop control curve (801, 802, 804, 806, 808) having a non-constant slope. The operations further include regulating a power delivery from the electric power source or device (104) to a bus (102) according to the droop control procedure (800).