Encapsulated Capacitor Parameter Estimation via PSO
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Solution Overview
Problem
Current power grid systems face challenges in accurately detecting premature failures of filter capacitors in passive harmonic filters due to unbalanced capacitor voltage distribution and load current imbalances, leading to increased component stress and potential explosions.
Innovation Solution
A monitoring device estimates intrinsic parameters of encapsulated capacitors using a processor that receives sampled current and voltage values, applies a capacitor current estimating model, and utilizes particle swarm optimization to determine optimized parameters, enabling early detection of abnormal components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual on-site measurement is conducted to monitor capacitor voltages, then the structure remains simple and cost-effective, but premature failures of filter capacitors cannot be detected early and accurately
Solution Approach 1:
The patent introduces a monitoring device as an intermediary system that indirectly measures capacitor parameters through current and voltage sensing circuits. Instead of directly measuring difficult-to-access capacitor voltages, the system uses current transformers and voltage dividers to sense equivalent electrical quantities, processes them through signal conditioning circuits, and computes intrinsic parameters algorithmically, thereby achieving high measurement precision without direct contact with the capacitors.
Solution Approach 2:
The patent replaces manual mechanical measurement methods with an automated electronic monitoring system. The system uses electronic sensors, signal conditioning circuits, and digital processing to automatically detect and analyze capacitor parameters, substituting the manual measurement process with an electronic-based automated system that provides continuous, accurate, and remote monitoring capability.
2Reliability
If multiple single-tuned filters are used to filter all harmonics, then the filtering effectiveness is improved, but unbalanced load currents cause unbalanced capacitor voltage distribution increasing component stress
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring the intrinsic parameters of each capacitor through the monitoring device. The system measures current and voltage values, computes capacitor voltages and equivalent series resistances, and provides real-time feedback on the status of each capacitor. This feedback enables early detection of unbalanced voltage distribution and allows for preventive maintenance before component stress leads to failure.
Solution Approach 2:
The patent applies preliminary action by detecting abnormal capacitor parameters before actual failures occur. The monitoring system continuously tracks intrinsic parameters such as equivalent series resistance and capacitance values, identifying trends that indicate deteriorating conditions. By detecting these preliminary signs of failure, the system enables proactive maintenance scheduling before the capacitors actually fail, preventing unbalanced voltage stress from causing catastrophic failures.
3Reliability
If on-site staff conduct regular measurements to monitor capacitor voltages, then the maintenance approach is simple, but premature failures cannot be detected early
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated electronic monitoring system. The system uses electronic sensors, signal conditioning circuits, and digital processing to automatically detect and analyze capacitor parameters, substituting the manual measurement process with an electronic-based automated system that provides continuous, accurate, and remote monitoring capability.
Solution Approach 2:
The patent introduces a monitoring device as an intermediary system that indirectly measures capacitor parameters through current and voltage sensing circuits. Instead of directly measuring difficult-to-access capacitor voltages, the system uses current transformers and voltage dividers to sense equivalent electrical quantities, processes them through signal conditioning circuits, and computes intrinsic parameters algorithmically, thereby achieving high measurement precision without direct contact with the capacitors.
Data Source
AI summary
A method for estimating intrinsic parameters of an encapsulated capacitor having three capacitors is provided, comprising: inputting received first sampled current value, second sampled current value and third sampled current value, first sampled voltage value, second sampled voltage value, and third sampled voltage value corresponding to the three capacitors into a capacitor current estimating model to obtain a first capacitor current error corresponding to a first capacitor among the three capacitors, a second capacitor current error corresponding to a second capacitor among the three capacitors and a third capacitor current error corresponding to a third capacitor among the three capacitors; and inputting the first capacitor current error, the second capacitor current error and the third capacitor current error into a particle swarm optimization model to obtain a plurality of optimized parameters corresponding to the three capacitors as a plurality of intrinsic parameters of the encapsulated capacitor.