A Deep Neural Network-Based Optimal Power Flow Approach for Identifying Network Congestion and Renewable Energy Generation Curtailment

A Deep Neural Network-Based Optimal Power Flow Approach for Identifying Network Congestion and Renewable Energy Generation Curtailment

Herein, we propose a novel method for identifying power congestion and renewable energy source (RES) power curtailment in power grids by using deep neural network (DNN)-based optimal power flow (OPF) analysis. Synthetic data for load demand and RES power generation are used to obtain the OPF solutio...

Full description

Bibliographic Details
Main Authors: Rehman Zafar, Ba Hau Vu, Il-Yop Chung
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep neural network
network congestion
optimal power flow
power curtailment
renewable energy sources
Online Access:https://ieeexplore.ieee.org/document/9878340/

Internet

https://ieeexplore.ieee.org/document/9878340/

Similar Items