Search Results for author:
Found 10 papers, 0 papers with code
Assessment of Transmission-level Fault Impacts on 3-phase and 1-phase Distribution IBR Operation
The widespread deployment of inverter-based resources (IBRs) renders distribution systems susceptible to transmission-level faults.
Under-frequency Load Shedding for Power Reserve Management in Islanded Microgrids
Furthermore, in comparison to sectionalizer-based UFLS, using smart meters or controllable loads for UFLS allows for a more accurate per-phase load shedding in a progressive manner.
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration
This paper presents a novel 2-stage microgrid unit commitment (Microgrid-UC) algorithm considering cold-load pickup (CLPU) effects, three-phase load balancing requirements, and feasible reconfiguration options.
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
We propose a Generator structure consisting of a coarse network and a fine-tuning network.
An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation
In contrast to many existing methods, we treat CVR baseline estimation as a missing data retrieval problem.
MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations
This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously.
SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid
Distribution system integrated community microgrids (CMGs) can partake in restoring loads during extended duration outages.
A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting
The hybrid framework consists of two forecasting models: a physics-based trend forecasting (TF) model and a data-driven cloud-event forecasting (CF) model.
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles
When training the ProfileSR-GAN generator network, to make the generated profiles more realistic, we introduce two new shape-related losses in addition to conventionally used content loss: adversarial loss and feature-matching loss.
Generative Adversarial Network
Non-Intrusive Load Monitoring
+3
Maximum Power Reference Tracking Algorithm for Power Curtailment of Photovoltaic Systems
This paper presents an algorithm for power curtail-ment of photovoltaic (PV) systems under fast solar irradiance intermittency.
