Transmission and Distribution Insights
Access our library of transmission and distribution resources, featuring technical documents and industry insights drawn from our extensive experience in power system solutions. Stay informed about innovations and best practices in electrical grid systems.
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Comprehensive Studies on Controller Tuning for PSS2B and PSS4B: Challenges, and Straightforward Tuning Approach
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A Novel Placement Technique for Utility-Scale PV Solar Farm Grid Integration
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Generator Failure Forensic Simulations Study, Lessons Learned
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Induced Voltage Study on a Traction System and Mitigation methods
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Stability Analysis of Grid Forming Inverters and Converter-Based Dominated Loads for Grid of Future with Beyond Inertia Feature
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Considerations, Challenges and Evolution in Dynamic Modeling of Synchronous
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Considerations, Challenges and Evolution in Dynamic Modeling of Synchronous Machines and Inverter-Based Resources
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Increase in fault ride through capability of direct drive permanent magnet based wind farm using VSC-HVDC
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Design, Implementation, and Application Guidelines of Master Power Plant Controllers in Dynamic Analysis for Grid Code Requirements
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Voltage variation due to solar photovoltaic in distribution network
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Novel Night and Day Control of a PV Solar System as a STATCOM (PV-STATCOM) for Damping of Power Oscillations
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Load modeling impact on system stability and guidelines for stability studies on an islanded system with grid-forming inverters
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Bibliography of HVDC transmission 2013–14 IEEE working group report
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Utility-based grid forming inverters applications: Seamless transition and power oscillation damping
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Comparative study for improving damping oscillation of SMIB system with STATCOM and BESS using remote and local signal
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Control of STATCOMs–A review
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Coordinated control of PV solar system as STATCOM (PV-STATCOM) and Power System Stabilizers for power oscillation damping
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PV solar system control as STATCOM (PV-STATCOM) for power oscillation damping
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Supervised and unsupervised deep learning models for partial discharge source detection and classification in electrical insulation
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Assessing One-vs-All 1D-CNN Classifiers for Multi-Label Classification of Partial Discharge Waveforms in 3D-Printed Dielectric Samples with Different Void Sizes
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Unsupervised Deep Learning for Detecting Number of Partial Discharge Sources in Stator Bars
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Simplified Numerical Models in Simulating Corona Discharge and EHD Flows
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Classification of partial discharge signals using 1d convolutional neural networks
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A double-vortex EHD flow pattern generated by negative corona discharge in point-plane geometry
