Generator Re-dispatch for Oscillatory Stability in Power Grids
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Solution Overview
Problem
Modern power systems face complexity due to varying load types and generator variability, leading to poorly damped oscillations that can cause grid instability, necessitating improved techniques for oscillatory stability through generation re-dispatch.
Innovation Solution
A sensitivity factor and optimization-based approach is employed to proactively identify optimal control elements and actions, such as generator active power re-dispatch, load shedding, and capacitor bank switching, using eigenvalue perturbation and constrained optimization to minimize damping costs and enhance grid stabilization in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If generation re-dispatch is implemented to improve oscillatory stability, then damping ratios are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent pre-calculates and stores sensitivity factors for each generator with respect to eigenvalues before actual dispatch decisions are needed. This preliminary computation of sensitivity matrices allows rapid assessment of how generator output changes affect oscillation modes, enabling stable dispatch decisions without real-time complex calculations
Solution Approach 2:
The patent divides the complex power system into individual generator units, each with pre-computed sensitivity factors. This segmentation allows the overall stability problem to be broken down into manageable per-generator adjustments, where each generator's contribution to damping specific oscillation modes can be independently evaluated and optimized
2Reliability
If real-time optimization is performed to identify optimal control actions, then grid stabilization is improved, but computational time and processing requirements increase
Solution Approach 1:
The patent pre-computes sensitivity factors and stores them in a database before real-time operation. These pre-calculated sensitivity matrices capture the relationship between generator outputs and eigenvalues, allowing the optimization algorithm to work with pre-processed data rather than computing from first principles during time-critical dispatch decisions
Solution Approach 2:
The patent transforms the complex stability optimization problem into a simpler parameter adjustment problem by using sensitivity factors as intermediate parameters. Instead of directly optimizing generator outputs against stability criteria, the method optimizes adjustments to sensitivity-weighted parameters, reducing computational complexity while maintaining accuracy
Data Source
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AI summary
The embodiments described herein provide for a system including a processor (38). The processor (38) is configured to select at least one grid system contingency from a plurality of grid system contingencies. The processor (38) is further configured to derive one or more eigen-sensitivity values based on the at least on grid system contingency. The processor (38) is also configured to derive one or more control actions at least partially based on the eigen-sensitivity values. The processor (38) is additionally configured to apply the one or more control actions for generation re-dispatch of a grid system (8).