一种新能源箱式变电站状态异常诊断方法及系统
By acquiring current, voltage drop, and temperature sequences in new energy prefabricated substations, performing time alignment and model fitting, and combining thermal RC models and multiple gating mechanisms, the problem of online, quantitative, and traceable diagnosis of busbar contact resistance in new energy prefabricated substations was solved, enabling accurate diagnosis and risk assessment of contact resistance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU WENYA TECH CO LTD
- Filing Date
- 2025-11-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to perform online, quantitative, interpretable, and traceable diagnosis of busbar contact resistance in new energy prefabricated substations under uninterrupted power supply conditions. In particular, it is difficult to distinguish between the actual changes in contact resistance and apparent changes caused by environmental factors or load changes under complex operating conditions, leading to false alarms or missed alarms.
By acquiring the original sequences of phase current, connector voltage drop, patch temperature and housing acceleration during closing transients or planned load step triggers, cross-channel time alignment and cross-correlation self-checks are performed to establish a unified time base and form a synchronization segment. The total equivalent impedance parameter is fitted using the RL step model, and the contact resistance is estimated by combining robust linear regression and off-grid RC model. The diagnostic results are output through online change point detection and multiple gating mechanisms, and the evidence chain hash is solidified.
It enables online, quantitative, interpretable, and traceable diagnosis of contact resistance in new energy prefabricated substations under uninterrupted power conditions, reduces misjudgments caused by environmental disturbances and harmonic noise, adapts to complex operating conditions such as frequent hoisting and short-term paralleling of new energy prefabricated substations, accurately identifies early hot spots and contact degradation trends, quantifies the remaining risk window, and outputs executable maintenance priorities.
Smart Images
Figure CN121431998B_ABST