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

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

10.1109/smartgridcomm47815.2020.9302963 ◽

2020 ◽

Author(s):

Andreas Venzke ◽

Guannan Qu ◽

Steven Low ◽

Spyros Chatzivasileiadis

Keyword(s):

Neural Networks ◽

Optimal Power Flow ◽

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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 ◽

Optimal Power Flow ◽

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Optimal Power Flow Using Graph Neural Networks

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

10.1109/icassp40776.2020.9053140 ◽

2020 ◽

Author(s):

Damian Owerko ◽

Fernando Gama ◽

Alejandro Ribeiro

Keyword(s):

Neural Networks ◽

Optimal Power Flow ◽

Optimal Power ◽

Graph Neural Networks

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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 ◽

Author(s):

Robert T. F. Ah King ◽

Xiaoping Tu ◽

Louis-A. Dessaint ◽

Innocent Kamwa

Keyword(s):

Neural Networks ◽

Optimal Power Flow ◽

Transient Stability ◽

Feedforward Neural Networks ◽

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Worst-Case Sensitivity of DC Optimal Power Flow Problems

2020 American Control Conference (ACC) ◽

10.23919/acc45564.2020.9147770 ◽

2020 ◽

Author(s):

James Anderson ◽

Fengyu Zhou ◽

Steven H. Low

Keyword(s):

Optimal Power Flow ◽

Flow Problems ◽

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Optimal power flow study using conventional and neural networks methods

2015 International Conference on Renewable Energy Research and Applications (ICRERA) ◽

10.1109/icrera.2015.7418642 ◽

2015 ◽

Author(s):

Labed Imen ◽

Labed Djamel ◽

Serghine Hassiba ◽

Draidi Abdellah ◽

Fetissi Selwa

Keyword(s):

Neural Networks ◽

Optimal Power Flow ◽

Optimal Power ◽

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Optimal power flow with worst-case scenarios considering uncertainties of loads and renewables

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ◽

10.1109/pmaps.2016.7764128 ◽

2016 ◽

Author(s):

Chengquan Ju ◽

Peng Wang

Keyword(s):

Optimal Power Flow ◽

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Convex model to evaluate worst-case performance of local search in the Optimal Power Flow problem

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9303921 ◽

2020 ◽

Author(s):

Elizabeth Glista ◽

Somayeh Sojoudi

Keyword(s):

Local Search ◽

Optimal Power Flow ◽

Flow Problem ◽

Convex Model ◽

Optimal Power ◽

Power Flow Problem

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

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

10.1109/icaceh48424.2019.9042110 ◽

2019 ◽

Author(s):

WenChang Tsai ◽

Xin He ◽

Lin Zhang ◽

YanMei Wang ◽

Shihan Xu ◽

...

Keyword(s):

Neural Networks ◽

Optimal Power Flow ◽

Local Optimization ◽

Convolution Neural Networks ◽

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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 ◽

Optimal Power Flow ◽

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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 ◽

Optimal Power Flow ◽

Discrete Variables ◽

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