A comprehensive review of security-constrained unit commitment

N Yang, Z Dong, L Wu, L Zhang, X Shen… - Journal of Modern …, 2021 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) has been extensively studied as a key
decision-making tool to determine optimal power generation schedules in the operation of …

A survey on conic relaxations of optimal power flow problem

F Zohrizadeh, C Josz, M Jin, R Madani, J Lavaei… - European journal of …, 2020 - Elsevier
Conic optimization has recently emerged as a powerful tool for designing tractable and
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …

On mixed-integer programming formulations for the unit commitment problem

B Knueven, J Ostrowski… - INFORMS Journal on …, 2020 - pubsonline.informs.org
We provide a comprehensive overview of mixed-integer programming formulations for the
unit commitment (UC) problem. UC formulations have been an especially active area of …

[HTML][HTML] A linear AC unit commitment formulation: An application of data-driven linear power flow model

Z Shao, Q Zhai, Z Han, X Guan - International Journal of Electrical Power & …, 2023 - Elsevier
Unit commitment is an important schedule procedure in power system daily operations, and
an ideal version is to combine the unit commitment with the optimal power flow, thereby, it …

A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state …

Y Lei, K Hou, Y Wang, H Jia, P Zhang, Y Mu, X Jin… - Applied Energy, 2018 - Elsevier
A new reliability assessment approach to Integrated Energy Systems (IESs) is introduced in
this paper. The optimal load curtailment (OLC) algorithm and reliability assessment …

Security constrained unit commitment using line outage distribution factors

DA Tejada-Arango, P Sánchez-Martın… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) problem is one of the necessary tools for
system operators to make operational planning and real-time operation. The internalization …

Leveraging power grid topology in machine learning assisted optimal power flow

T Falconer, L Mones - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
Machine learning assisted optimal power flow (OPF) aims to reduce the computational
complexity of these non-linear and non-convex constrained optimization problems by …

Modeling the AC power flow equations with optimally compact neural networks: Application to unit commitment

A Kody, S Chevalier, S Chatzivasileiadis… - Electric Power Systems …, 2022 - Elsevier
Nonlinear power flow constraints render a variety of power system optimization problems
computationally intractable. Emerging research shows, however, that the nonlinear AC …

Assessing the impact of inertia and reactive power constraints in generation expansion planning

S Wogrin, D Tejada-Arango, S Delikaraoglou… - Applied Energy, 2020 - Elsevier
On the path towards power systems with high renewable penetrations and ultimately carbon-
neutral, more and more synchronous generation is being displaced by variable renewable …

Adaptive robust network-constrained AC unit commitment

N Amjady, S Dehghan, A Attarha… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper presents an adaptive robust network-constrained AC unit commitment (AC-UC)
model. This model is formulated as a min-max-min optimization problem, which allows …