State Grid Corporation of China (China)

Optimal Capacity Configuration of a Reversible Solid Oxide Cell-Integrated Electricity–Heat–Hydrogen Energy System Balancing Economic Performance and Renewable Energy Accommodation

To enhance renewable energy accommodation and operational flexibility under high renewable energy penetration, this study proposes a multi-objective optimal capacity configuration method for an electricity–heat–hydrogen integrated energy system incorporating a reversible solid ox...

Transmission–Distribution Coordinated Multi-Time-Scale Rolling Optimal Control Considering Static Voltage Stability

The increasing penetration of distributed energy resources has strengthened the operational coupling between transmission and distribution grids, intensified voltage fluctuations, and reduced static voltage stability margins under bidirectional power-flow conditions. In transmiss...

Influence of Installation Parameters and Geometric Configurations on the Uplift Capacity of Helical Anchors: An Experimental Investigation

Recent studies have demonstrated that installation-induced soil disturbance, advancement ratio, and installation rate can substantially affect the subsequent axial response of helical piles. However, systematic experimental comparisons that simultaneously relate installation torq...

Optimization and operation strategy for demand response in Park Energy Systems with Public Buildings

Abstract Public-building central air conditioning (CAC) systems provide substantial load flexibility because of their significant thermal inertia. However, existing optimization studies of park energy systems commonly represent them as conventional flexible loads, with insufficie...

Study on Stability of Equal-Leg Angle-Steel Members in Transmission Towers at Uniform Elevated Temperature

Equal-leg angle-steel members are widely used as main load-bearing and bracing members in transmission towers. Under elevated-temperature environments such as mountain fires and forest fires, the elastic modulus and strength of steel degrade significantly, which may reduce the ov...

Adaptive super-resolution UAV inspection and image perception strategy planning for distribution networks

Unmanned aerial vehicle (UAV) inspection provides a flexible means of monitoring geographically dispersed equipment in distribution networks; however, the limited resolution, motion-induced blur, transmission constraints, and high cost of precision infrared sensors can degrade im...

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...

Multi-body dynamics and Gyro-MPC-DOB based trajectory tracking control of live-line working robot

When the Live-line working robot carries out high-altitude operations, uncertainty factors such as external wind disturbance, end-load variations, and body vibration affect the control performance of the robotic arm, resulting in poor trajectory tracking accuracy of the robotic a...

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...

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...

Evaluating the Visibility of Power-Line Bird-Collision Warning Devices Using an Avian Spectral-Response Weighting Model

Collisions with overhead power lines are an important source of avian mortality, particularly for migratory and large-bodied birds. Although warning devices are widely installed to increase line visibility, their image-based visibility across viewing distances and directions rema...

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...

Research on Fault Identification and Decision for UHV Bushing Based on Knowledge Graph Rule Reasoning and Inductive Graph Convolutional Network

To address the challenges of integrating multi-source heterogeneous data, fragmented fault knowledge, and the limited capability of traditional rule engines in recognizing edge cases for ultra-high voltage (UHV) bushing fault diagnosis, this paper proposes a fault identification...

Interpretable short-term electric load forecasting based on Bayesian Optimization for AM-CNN-KAN

Accurate power load forecasting is crucial for modern power system planning, yet existing methods often struggle to balance high accuracy with model interpretability. To address this research gap, we propose AM-CNN-KAN, a novel hybrid model integrating Kolmogorov-Arnold Networks...

An Enhanced Fault-Tolerant Scheme for Arm-Multiplexing Modular Multilevel Converters

The arm-multiplexing modular multilevel converter (AM-MMC) is a new compact MMC topology that is especially promising for offshore high-voltage direct current transmission systems. However, the reliable operation of AM-MMCs suffers from submodule (SM) faults. The fault-tolerant s...

Analytical and symbolic characterization of nonlinear dynamics for a class of energy supply demand system versus time delay

This paper investigates the nonlinear dynamic behavior of a three-dimensional energy supply–demand system with government regulation and time delay. A mathematical model is first established. By employing the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inlin...

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...

Short-Term Electric Vehicle Charging Load Forecasting Based on Sample Entropy and CEEMDAN-TCN-BiGRU Hybrid Model

The large-scale integration of electric vehicles (EVs) brings significant challenges to power grid operation due to the strong nonlinearity and non-stationarity of charging loads. To address the limitations of existing methods in noise suppression and temporal feature extraction,...

A spatiotemporal deep learning framework for electricity price linkage forecasting using graph attention and reinforcement learning

Medium- and long-term electricity spot-price forecasting is affected by temporal fluctuation, cross-market transmission, and unstable regional coupling, making single-market sequence models insufficient for linkage-aware prediction. This study proposes DL-GNN-LP, a spatiotemporal...

New Energy Vehicles and Charging and Battery-Swapping Infrastructure: Development Patterns, Policy Drivers, and the Evolution of Vehicle–Grid Interaction

The rapid expansion of electric mobility is reshaping both transport infrastructure and power-system operation. This narrative and critical review examines the connected evolution of new energy vehicle (NEV) markets, charging and battery-swapping infrastructure, policy mechanisms...