Power System Stabilization Device Adaptive Computation Priority
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Solution Overview
Problem
Existing power system stabilization devices face challenges in performing appropriate control due to significant changes in the amount of control required for stabilization, leading to excess or shortage of control when current fluctuations occur, especially with the integration of renewable energy sources.
Innovation Solution
A power system stabilization device and method that determines a control target necessary for stability by generating a system state using configuration and measurement data, calculating stability with priority levels for each assumed failure, and adjusting the computation priority based on renewable energy output fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control target is computed in advance with fixed cycle for each assumed failure, then computation completeness is improved, but control timeliness deteriorates when current fluctuations occur
Solution Approach 1:
The patent applies dynamics by making the computation cycle adaptive rather than fixed. The control target computation is performed at different cycles based on the degree of change in current state. When current state changes significantly (exceeding threshold), computation is triggered immediately, otherwise it uses a longer fixed cycle, thus adapting the computation frequency to system conditions.
Solution Approach 2:
The patent changes the parameter of computation cycle from a fixed value to a variable that depends on the degree of current state change. By monitoring changes in current state and comparing against thresholds, the system dynamically adjusts when to perform computations, optimizing between computation completeness and control timeliness.
2Loss of time
If control target is updated frequently to respond to current fluctuations, then control timeliness is improved, but computation resource consumption increases
Solution Approach 1:
The system dynamically adjusts computation frequency based on actual system conditions. Instead of uniform frequent updates, computations are performed at variable intervals determined by whether current state changes exceed a threshold, optimizing resource usage while maintaining timely control when necessary.
Solution Approach 2:
The patent applies partial action by performing computations only when necessary (when current state changes exceed threshold) rather than continuously or at fixed frequent intervals. This selective computation approach reduces overall resource consumption while maintaining adequate control responsiveness.
3Speed
If control target is determined based on pre-computation results, then control speed is improved, but control accuracy deteriorates when current state differs from pre-computation conditions
Solution Approach 1:
The patent implements feedback by monitoring the degree of change in current state and using this information to determine when to update control targets. The system continuously compares current conditions against previous states, and when changes exceed thresholds, it triggers recomputation to ensure control accuracy reflects current system conditions.
Solution Approach 2:
The system performs preliminary computation of control targets in advance, but supplements this with conditional updates based on current state changes. This combination allows fast control response using pre-computed values while maintaining accuracy through selective updates when conditions warrant them.
Data Source
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AI summary
Provided are a power system stabilization device and power system stabilization method in which an excess/shortage of control is prevented and an appropriate control suitable for the system state is enabled, even for assumed failures for which the control amount necessary for stabilization varies significantly with current variations. A power system stabilization device including a central processing unit in which there is determined, in advance, a device subject to control necessary to maintain stability when an assumed failure in a power system including renewable energy occurs, wherein the power system stabilization device is characterized in that the central processing unit executes, for each of a plurality of assumed failures, a computation for determining a subject of control necessary to maintain stability at the time of the assumed failure, and determines, in accordance with an output fluctuation scenario for renewable energy pertaining to the weather, the degree of priority of performing a computation for determining a subject of control necessary to maintain stability at the time of each of the assumed failures.