Electric Power Research Institute

Pre-control scheme generation for extreme-weather power imbalance risk using multi-resource frequency regulation and deep reinforcement learning

To address the power imbalance risk between renewable energy output and load demand under extreme weather conditions, this paper proposes a pre-control scheme generation method based on the integration of multiple frequency regulation resources and deep reinforcement learning. Fi...

Research on the Impact and Optimization of the Active Current Recovery Rate of Distributed Photovoltaic Pulse Blocking Strategy on Grid Frequency and Voltage Stability

With the large-scale integration of Class B distributed photovoltaic power sources without fault-tolerant capabilities, the “pulse blocking-recovery” transient behavior during power grid faults has become a key factor affecting the frequency and voltage stability of the system. T...

Energy management control of grid-tied PV-battery system based on intelligent proportional allocation

Purpose Most existing grid-tied PV-battery systems rely on static charge-discharge schedules, typically involving daytime battery charging and nighttime discharging, which lead to inefficient energy storage utilization and reduced overall economic performance. Traditional energy...

A Solution-Processable Covalent Organic Polymer for Bifunctional Oxygen Electrocatalysis in Zinc–Air Flow Batteries

Abstract Rechargeable Zn-air flow batteries (ZAFBs) feature high theoretical energy density, superior safety, and low cost, rendering them promising energy storage devices. However, traditional carbon-based oxygen electrode catalysts struggle to maintain and replicate stable elec...

Hydraulically Coupled Compressed-Air Energy Storage Systems: A Review of Configurations and Performance with Emphasis on PHCAES

Growing wind and photovoltaic generation increases the demand for large-scale, long-duration energy storage. Pumped hydro compressed-air energy storage (PHCAES) stores and releases energy through pressure transfer between water and compressed air, using air pressure to provide an...

Creep damage initiation in high-temperature steel: a comparative study of ferritic, martensitic and austenitic microstructures

Abstract Premature failure of critical energy infrastructure caused by creep damage, threatens productivity and safety, emphasizing the need for robust methods to monitor and predict material performance. Creep damage nucleation in metals is driven by nano- and micro-structural f...

Fixed-time adaptive sliding mode control for nonlinear systems based on rapid Kolmogorov-Arnold network

This paper proposes a fixed-time adaptive sliding mode control method for second-order uncertain nonlinear systems. The proposed controller combines fixed-time nonsingular terminal sliding mode control (FTNSTSMC) with a rapid Kolmogorov-Arnold network (RKAN). Unlike finite-time c...

KELM transmission line fault location method incorporating uncertainty estimation

Abstract With the widespread application of flexible direct current transmission (MMC-HVDC) in the interconnection of large power grids and the consumption of new energy, the accuracy, reliability, and response speed of transmission line fault location are of crucial importance f...

Surface Erosion–Corona Synergistic Degradation Characteristics and Material Adaptability of High-Temperature Vulcanized Silicone Rubber in Desert Regions

The harsh sandstorm and the strong electric fields generated by operating transmission lines in desert regions can readily lead to performance degradation and shortened service life of high-temperature vulcanized (HTV) silicone rubber (SR) composite insulators. To screen HTV sili...

Short-Term Ground Gust Prediction Based on Fusion of Ground and High-Altitude Meteorological Data and Differential Polynomial Modeling

Accurate Short-term forecasting of gusts at 10 m above ground level is challenging because gridded meteorological variables exhibit persistence, nonstationarity, and abrupt transitions. This study proposes a Temporal Adaptive Difference Polynomial Network (TADPN) using 8760 hourl...

Design of a neutron irradiation campaign for electron beam welded reactor pressure vessel steel

The objective of this study is to document a neutron irradiation experiment campaign intended to enable evaluation of embrittlement in electron beam (EB) welded SA508, Grade 3 reactor pressure vessel (RPV) steel for small modular reactors. Arc welds in RPVs have historically expe...

Data-locality-preserving carbon-aware coordination of power and electrified transportation systems using federated reinforcement learning

The rapid electrification of transportation systems has intensified the coupling between regional power grids, electric vehicle charging demand, and spatiotemporal traffic dynamics, posing significant coordination challenges under carbon constraints. Conventional centralized opti...

Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework

Abstract How to effectively identify defects in power transmission lines using unmanned aerial vehicle (UAV) technology remains a key research focus. This paper presents an optimization over traditional convolutional neural networks by proposing a spatially deformable convolution...

An energy-saving strategy for edge data center clusters driven by deep learning and real-time load forecasting

To address energy-saving optimization in edge data center clusters under high-density cabinet deployment, dynamic workload fluctuations, and increasingly strict energy-efficiency constraints, this paper proposes a collaborative energy-saving strategy driven by deep learning and r...

Metal Magnetic Memory-Based Electromagnetic Non-Destructive Evaluation of Steel-Core Damage in UHV ACSR Conductors

Internal steel-core damage hidden within aluminum conductor steel-reinforced (ACSR) compression components may threaten the mechanical integrity of ultra-high-voltage transmission lines. This laboratory study evaluates metal magnetic memory testing (MMMT) responses to artificial...

Beyond Molecular Dispersion: A Molecular-Cone Architecture of Cobalt Phthalocyanine on CNTs for Selective CO2 Electroreduction to Methanol

Abstract Molecularly dispersed cobalt phthalocyanine (CoPc) on carbon nanotubes can be used as an efficient catalyst for electrochemical CO2-to-methanol conversion. However, increasing the CoPc loading to enhance the current density typically induces aggregation, which compromise...

Waterborne polyurethane modified CFBFA cementitious materials properties and mechanism

This study addresses the challenge of directly and efficiently utilising circulating fluidised bed fly ash (CFBFA), which is difficult to employ due to its high calcium, high sulfur, and low reactivity, by introducing environmentally friendly waterborne polyurethane (WPU) as a mo...

Probabilistic Load Flow Calculation for Distribution Networks Based on Advanced Source-Load Modeling and Time-Varying D-Vine Copula

With the large-scale integration of distributed photovoltaic generation (PV) into modern distribution networks, the inherent stochasticity and volatility of renewable energy outputs have imposed non-negligible impacts on the secure and economic operation of power systems. Convent...

Research on the Online Diagnosis Method for Heating Types of Composite Insulator

ABSTRACT In response to the current challenge of accurately determining the specific heating status of composite insulators with localised temperature rise using infrared detection technology, this paper proposes a novel diagnostic method. This method involves applying a disturba...