Optimal power flow study using conventional and neural networks methods

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Optimal Power Flow Using Graph Neural Networks

10.1109/icassp40776.2020.9053140 ◽

2020 ◽

Author(s):

Damian Owerko ◽

Fernando Gama ◽

Alejandro Ribeiro

Keyword(s):

Neural Networks ◽

Power Flow ◽

Optimal Power Flow ◽

Optimal Power ◽

Graph Neural Networks

Multi-contingency transient stability-constrained optimal power flow using multilayer feedforward neural networks

2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) ◽

10.1109/ccece.2016.7726774 ◽

2016 ◽

Cited By ~ 2

Author(s):

Robert T. F. Ah King ◽

Xiaoping Tu ◽

Louis-A. Dessaint ◽

Innocent Kamwa

Keyword(s):

Neural Networks ◽

Power Flow ◽

Optimal Power Flow ◽

Transient Stability ◽

Feedforward Neural Networks ◽

2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) ◽

Voltage Stability Constrained Optimal Power Flow Study Based on P-Index

10.1109/incos45849.2019.8951429 ◽

2019 ◽

Author(s):

Kuldip N. Pranami ◽

Viren B. Pandya

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Voltage Stability ◽

Optimal Power ◽

P Index ◽

An integrated approach for incorporation of voltage and transient stabilities into optimal power flow study

Electric Power Systems Research ◽

10.1016/j.epsr.2022.107784 ◽

2022 ◽

Vol 206 ◽

pp. 107784

Author(s):

SINA HASHEMI ◽

HAMID LESANI ◽

MOHAMMAD REZA AGHAMOHAMMADI

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Integrated Approach ◽

Optimal Power ◽

2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE) ◽

Optimal Power Flow Study Using UPFC

10.1109/icrieece44171.2018.9008977 ◽

2018 ◽

Author(s):

S.C Swain ◽

Ramakanta Jena ◽

Shaswat Chirantan ◽

P. C. Panda

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Optimal Power ◽

2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ◽

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks

10.1109/smartgridcomm47815.2020.9302963 ◽

2020 ◽

Author(s):

Andreas Venzke ◽

Guannan Qu ◽

Steven Low ◽

Spyros Chatzivasileiadis

Keyword(s):

Neural Networks ◽

Power Flow ◽

Optimal Power Flow ◽

Worst Case ◽

2019 IEEE International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH) ◽

Properly Learned Convolution Neural Networks and Local Optimization for Optimal Power Flow

10.1109/icaceh48424.2019.9042110 ◽

2019 ◽

Author(s):

WenChang Tsai ◽

Xin He ◽

Lin Zhang ◽

YanMei Wang ◽

Shihan Xu ◽

...

Keyword(s):

Neural Networks ◽

Power Flow ◽

Optimal Power Flow ◽

Local Optimization ◽

Convolution Neural Networks ◽

Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow

10.1109/smartgridcomm51999.2021.9632308 ◽

2021 ◽

Author(s):

Rahul Nellikkath ◽

Spyros Chatzivasileiadis

Keyword(s):

Neural Networks ◽

Power Flow ◽

Optimal Power Flow ◽

Worst Case ◽

Optimal Power Flow Using Newton’s Method

International Journal of Scientific Research ◽

10.15373/22778179/feb2014/54 ◽

2012 ◽

Vol 3 (2) ◽

pp. 167-169

Author(s):

F.M.PATEL F.M.PATEL ◽

◽

N. B. PANCHAL N. B. PANCHAL

Keyword(s):

Newton’S Method ◽

Newton's Method ◽

Power Flow ◽

Optimal Power Flow ◽

A Distributed Algorithm based 2-level Optimization for Multi-area Optimal Power Flow with Discrete Variables

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.140.786 ◽

2020 ◽

Vol 140 (11) ◽

pp. 786-794

Author(s):

Ryohei Suzuki ◽

Keiichiro Yasuda ◽

Eitaro Aiyoshi

Keyword(s):

Distributed Algorithm ◽

Power Flow ◽

Optimal Power Flow ◽

Discrete Variables ◽