China Electric Power Research Institute

Parameter determination method for model of ZnO varistors based on dynamic V-I characteristics

This study investigates the dynamic volt-ampere characteristics and residual voltage responses of ZnO varistor of five different sizes under various impulse waveforms, including 8/20 μs lightning current, 30/80 μs operating wave, 1/5 μs steep wave, and 2 ms square wave impulses....

Fast extremum values calculation of electro‑thermal fields for ±800 kV valve‑side resin-impregnated paper bushing under multiple factors

Valve-side resin-impregnated paper (RIP) bushings are key insulation components of HVDC converter transformers. Combined AC–DC voltage, high current, and varying thermal boundaries produce non-uniform electro-thermal fields, potentially causing local overheating and electric-fiel...

Interpretable surrogate-assisted scheduling of solar thermochemical hydrogen production in hydrogen refueling-integrated energy systems

Solar thermochemical hydrogen production converts intermittent solar energy into storable clean fuel, but dynamic control of the process remains a challenge. This study proposes an interpretable surrogate-assisted scheduling framework for meeting users’ diverse energy needs in a...

Regional frequency response analytical model for three-region interconnected power systems considering fast frequency response resources

Frequency Response (FR) is critical for mitigating frequency fluctuations and maintaining stability in power systems, particularly as modern power systems integrate more renewable energy. This paper addresses the challenges of increased frequency variability and decreased FR capa...

Emission spectra and diagnosis of C4F7N/CO2 discharge faults

Abstract The C 4 F 7 N/CO 2 mixed gas is regarded as one of the most promising environmental-friendly alternatives to SF 6 . Studying its discharge spectral characteristics under different voltages and fault types is of great significance for insulation condition monitoring and f...

Research on Embodied Intelligence Technology for Electric Power Equipment Based on Large‐Scale Pre‐Trained Models

ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve gene...

Diagnosis of abnormal voltage in individual cells and fault trend prediction in energy storage power stations

Abstract During the operation of energy storage power stations, individual cells are prone to voltage inconsistency and abnormal voltage fluctuations due to manufacturing variations, inconsistent aging degrees, and changes in operating conditions. To address this issue, this stud...

Llm-assisted physics-guided spatiotemporal graph learning for power meteorological disaster evolution

Extreme meteorological events—such as winter cold waves, ice accretion, and typhoons—are increasingly becoming primary triggers that threaten the safe and stable operation of power systems. Their disaster-causing processes exhibit strong spatial correlations and multi-stage tempo...