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Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach [article]

Parikshit Pareek, Hung D. Nguyen
2019 arXiv   pre-print
In this paper, a novel Convexified Small-Signal Stability Constraint Optimal Power Flow (SCOPF) has been presented that does not rely on eigenvalue analysis.  ...  The proposed methodology is based on the sufficient condition for small-signal stability, developed as a Bilinear Matrix Inequality (BMI) and uses network structure-preserving Differential Algebraic Equation  ...  Therefore, the small-signal stability constrained optimal power flow (SCOPF) has emerged as the tool to provide a stable and economical operating point for the power system working over economic objective  ... 
arXiv:1911.12001v1 fatcat:ztbnxtt4ejeoxolxvgr6f5udpm

Table of Contents

2021 IEEE Transactions on Control of Network Systems  
Zhu 1918 A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Ahn 1568 Stabilizing a Queue Subject to Activity-Dependent Server Performance . . . . M. Lin, R. J. La, and N. C.  ... 
doi:10.1109/tcns.2021.3128873 fatcat:hfldthxp3vdlpb6zerinitpclm

Transient frequency control with regional cooperation for power networks [article]

Yifu Zhang, Jorge Cortes
2018 arXiv   pre-print
Due to the non-convexity of the optimization, we propose a convexification technique by identifying a reference control input trajectory.  ...  asymptotic stability of the entire network.  ...  its power flow f i j (τ) as an external power injection whose forecasted value is a constant equaling its current value f i j (t) for every τ ∈ [t,t +t].  ... 
arXiv:1809.05644v1 fatcat:ntdc2gf6xnhcrguju3spg4tol4

2021 Index IEEE Transactions on Power Systems Vol. 36

2021 IEEE Transactions on Power Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Pena-Ordieres, A., +, TPWRS Jan. 2021 147-158 DeepOPF: A Deep Neural Network Approach for Security-Constrained DC Optimal Power Flow.  ...  ., +, TPWRS May 2021 1697-1712 Data-Driven Chance-Constrained Optimal Gas-Power Flow Calculation: A Bayesian Nonparametric Approach.  ... 
doi:10.1109/tpwrs.2021.3125235 fatcat:n3ecyy2flnapzjz7clyrp7sx4a

A review of recent advances in global optimization

C. A. Floudas, C. E. Gounaris
2008 Journal of Global Optimization  
It covers the areas of twice continuously differentiable nonlinear optimization, mixed-integer nonlinear optimization, optimization with differential-algebraic models, semi-infinite programming, optimization  ...  with grey box/nonfactorable models, and bilevel nonlinear optimization.  ...  Acknowledgements Christodoulos A.  ... 
doi:10.1007/s10898-008-9332-8 fatcat:72fpfq72hrdzhf6mxqyc6ssezm

Model predictive control for transient frequency regulation of power networks [article]

Yifu Zhang, Jorge Cortes
2019 arXiv   pre-print
This paper introduces a control strategy to simultaneously achieve asymptotic stabilization and transient frequency regulation of power networks.  ...  To deal with the non-convexity of the stability constraint, we propose a convexification strategy that uses a reference trajectory based on the system's current state.  ...  We then propose a reference trajectory technique for convexification. The centralized closed-loop control signal for each state is defined as the first-step solution of the optimal control problem.  ... 
arXiv:1901.07543v2 fatcat:22v3nscwkre2lhcecxf7j35u4m

2020 Index IEEE Transactions on Smart Grid Vol. 11

2020 IEEE Transactions on Smart Grid  
. , TSG Sept. 2020 4390-4402 Hosseinipour, A., and Hojabri, H., Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs; 3737-3747 Hou  ...  Active Distribution Network in Deregulated Retail Power Market; 1476-1488 Wang, J., see Arif, A., TSG Jan. 2020 673-685 Wang, J., see Cao, X., TSG Jan. 2020 696-709 Wang, J., see Cao, X., TSG Jan  ...  ., +, TSG Nov. 2020 5099-5113 Small-Signal Stability of a DC Network Planned for Electric Vehicle Charging.  ... 
doi:10.1109/tsg.2020.3044227 fatcat:qp5iogfnrnambc3qzuwvj4aega

Convex Optimization of Launch Vehicle Ascent Trajectory with Heat-Flux and Splash-Down Constraints [article]

Boris Benedikter, Alessandro Zavoli, Guido Colasurdo, Simone Pizzurro, Enrico Cavallini
2020 arXiv   pre-print
This paper presents a convex programming approach to the optimization of a multistage launch vehicle ascent trajectory, from the liftoff to the payload injection into the target orbit, taking into account  ...  Lossless and successive convexification are employed to convert the problem into a sequence of convex subproblems.  ...  However, this system allows for injecting into orbit only a small fraction of the rocket initial mass.  ... 
arXiv:2008.13239v1 fatcat:2o6b65b4xzgepnw5a32a73houq

Geometry of Power Flows and Optimization in Distribution Networks

Javad Lavaei, David Tse, Baosen Zhang
2014 IEEE Transactions on Power Systems  
We investigate the geometry of injection regions and its relationship to optimization of power flows in tree networks.  ...  Moreover, the resulting convexified optimal power flow problem can be efficiently solved via semi-definite programming or second order cone relaxations.  ...  INTRODUCTION A C optimal power flow (OPF) is a basic problem in power engineering.  ... 
doi:10.1109/tpwrs.2013.2282086 fatcat:pr3sz5egejamnjgzvbribccnmy

Branch Flow Model: Relaxations and Convexification (Parts I, II) [article]

Masoud Farivar, Steven H. Low
2013 arXiv   pre-print
The model leads to a new approach to solving optimal power flow (OPF) that consists of two relaxation steps.  ...  We propose a branch flow model for the anal- ysis and optimization of mesh as well as radial networks.  ...  The model leads to a new approach to solving optimal power flow (OPF) that consists of two relaxation steps.  ... 
arXiv:1204.4865v4 fatcat:6k33bygjkrbtbh73uc6qy5txkm

Robustness, Optimization, and Architectures

Fiona Chandra, Dennice F. Gayme, Lijun Chen, John C. Doyle
2011 European Journal of Control  
This paper will review recent progress on developing a unified theory for complex networks from biological systems and physics to engineering and technology.  ...  We will illustrate how tools in robust control theory and optimization can be integrated towards such unified theory by focusing on their applications in biology, physics, network design, and electric  ...  The tools from optimization have also allowed major progress in the problem of optimal power flow for the electric grid.  ... 
doi:10.3166/ejc.17.472-482 fatcat:i35bopgo4jgavhy37fpilq5z6y

Convex Optimization for Trajectory Generation [article]

Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk, Thomas Lew, Riccardo Bonalli, Marco Pavone, Behcet Acikmese
2021 arXiv   pre-print
In this article, trajectory generation is the computation of a dynamically feasible state and control signal that satisfies a set of constraints while optimizing key mission objectives.  ...  The goal of this article is to provide a comprehensive tutorial of three major convex optimization-based trajectory generation methods: lossless convexification (LCvx), and two sequential convex programming  ...  “Optimal Power Flow of Radial Networks and [147] R. Horst. “On the convexification of nonlinear programming Its Variations: A Sequential Convex Optimization Approach”.  ... 
arXiv:2106.09125v1 fatcat:owlktd5o7bhsrowgkmyz4kqu3y

2019 Index IEEE Transactions on Automatic Control Vol. 64

2019 IEEE Transactions on Automatic Control  
., +, TAC Jan. 2019 159-173 Convexification of Power Flow Equations in the Presence of Noisy Measurements.  ...  ., +, TAC June 2019 2383-2395 Convexification of Power Flow Equations in the Presence of Noisy Measure- ments.  ... 
doi:10.1109/tac.2020.2967132 fatcat:o2hd2t4jz5fbpkcemjt5aj7xrm

Optimal voltage support and Stress Minimization in power networks

Marco Todescato, John W. Simpson-Porco, Florian Dorfler, Ruggero Carli, Francesco Bullo
2015 2015 54th IEEE Conference on Decision and Control (CDC)  
By exploiting a linear reformulation of the power flow equations we arrive at a convex reformulation which can be efficiently solved for the optimal reactive power injections.  ...  We formulate an optimization problem which maximizes the distance to voltage collapse through injections of reactive power, subject to power flow and operational voltage constraints.  ...  This approach allows us to satisfy a local voltage constraint requirements while optimizing a system-level voltage stability margin.  ... 
doi:10.1109/cdc.2015.7403310 dblp:conf/cdc/TodescatoSDCB15 fatcat:yh2kpbxqdvapnjjclcr4alxyju

Advanced optimization methods for power systems

P. Panciatici, M.C. Campi, S. Garatti, S.H. Low, D.K. Molzahn, A.X. Sun, L. Wehenkel
2014 2014 Power Systems Computation Conference  
Power system planning and operation offers multitudinous opportunities for optimization methods.  ...  The paper introduces a selection of these advances in the fields of non-convex optimization, in mixedinteger programming, and in optimization under uncertainty.  ...  , and reactive power needs to be optimized to stabilize voltages.  ... 
doi:10.1109/pscc.2014.7038504 dblp:conf/pscc/PanciaticiCGLMS14 fatcat:w6lh2n4cpvhl5fbcomdmnwvwye
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