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Power Flow Partitioning with Power Flow Decomposition, Full Line Decomposition and Power Flow Coloring

2020 International Conference on Smart Grids and Energy Systems (SGES), 2020
Because of the highly meshed European grid structure with interconnections between multiple transmission system operators (TSOs), every TSO is influenced by physical power flows that are not a result of his own market flows and that can increase the utilization in his network area.
Eric Glende   +3 more
openaire   +1 more source

A Survey on Applications of Machine Learning for Optimal Power Flow

2020 IEEE Texas Power and Energy Conference (TPEC), 2020
Optimal power flow (OPF) is at the heart of many power system operation tools and market clearing processes. Several mathematical and heuristic approaches have been presented in literature to solve OPF.
Fouad Hasan, A. Kargarian, A. Mohammadi
semanticscholar   +1 more source

Power flow analysis using optimal power flow method

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
Throughout the entire world, the electric power industry has undergone a considerable change in the past decade and will continue to do so for the next several decades. In the past the electric power industry has been either a government-controlled or a government-regulated industry which existed as a monopoly in its service region.
K. A. Dongre, A. P. Bhagat
openaire   +1 more source

Adaptive ADMM for Distributed AC Optimal Power Flow

IEEE Transactions on Power Systems, 2019
In light of the soaring uptake of distributed energy resources, distributed methods are attracting increased focus. This paper proposes an adaptive scheme to improve the convergence of the alternating direction of multipliers method (ADMM) on the ...
Sleiman Mhanna   +2 more
semanticscholar   +1 more source

Linearizing Power Flow Model: A Hybrid Physical Model-Driven and Data-Driven Approach

IEEE Transactions on Power Systems, 2020
Linear power flow model is advantageous for the fast operational analysis and the efficient optimization of the power systems. In this letter, we propose a hybrid physical model-driven and data-driven approach for linearizing power flow model.
Yi Tan   +3 more
semanticscholar   +1 more source

Distributionally Robust CVaR Constraints for Power Flow Optimization

IEEE Transactions on Power Systems, 2020
Recent research on optimal power flow (OPF) in networks with renewable power involves optimizing both first and second stage variables that adjust the decision once the uncertainty is revealed.
R. Jabr
semanticscholar   +1 more source

Fast Cumulant Method for Probabilistic Power Flow Considering the Nonlinear Relationship of Wind Power Generation

IEEE Transactions on Power Systems, 2020
Currently, the increasing wind power penetration, with consequent randomness and variability, presents great challenges to power system planning and operation.
Chaofan Lin   +3 more
semanticscholar   +1 more source

Decompositions for Optimal Power Flows

IEEE Power Engineering Review, 1983
technical ...
Talukdar   +2 more
openaire   +1 more source

Reachable Power Flow

IEEE Transactions on Power Systems, 2020
This letter introduces reachable power flow ( ReachFlow ), a formal method providing a provably over-approximated enclosure of the complete set of the power flow solutions that “can be reached” under various uncertainties. The novelty of ReachFlow lies in: (1) an ordinary differential equation (ODE) formulation which maps the iterative power flow ...
Yifan Zhou, Peng Zhang
openaire   +1 more source

Risk-Based Distributionally Robust Optimal Gas-Power Flow With Wasserstein Distance

IEEE Transactions on Power Systems, 2019
Gas-fired units and power-to-gas facilities provide pivotal backups for power systems with volatile renewable generations. The deepened system interdependence calls for elaborate consideration of network models of both natural gas and power systems, as ...
Cheng Wang   +5 more
semanticscholar   +1 more source

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