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An Exact Sequential Linear Programming Algorithm for the Optimal Power Flow Problem [article]

Sleiman, Mhanna and Pierluigi, Mancarella
2021 arXiv   pre-print
AC power flow equations.  ...  In the aim of leveraging the advantages of LP while retaining the accuracy of NLP interior-point methods (IPMs), this paper proposes a sequential linear programming (SLP) approach consisting of a sequence  ...  Index Terms-Sequential linear programming, optimal power flow, supporting hyperplanes, locational marginal pricing, reactive power pricing. NOTATION A.  ... 
arXiv:2107.05164v1 fatcat:r54nqyf54fervf63l4g7sxpuua

Solution of Optimal Reactive Power Dispatch by a Hybrid GSA-SQP Algorithm

Jordan Radosavljevic, Miroljub Jevtic
2016 Elektronika ir Elektrotechnika  
Index Terms-Optimal reactive power dispatch; gravitational search algorithm; sequential quadratic programming; hybrid optimization algorithm.  ...  1Abstract-The optimal reactive power dispatch (ORPD) is achieved by optimal coordination of the equipment which control the reactive power flows in the power system.  ...  The results obtained by our power flow program were checked and verified by MATPOWER power flow program [17] .  ... 
doi:10.5755/j01.eie.22.3.15306 fatcat:slopxwwe7nhgbmot4efwscal7u

Optimal Power Flow Using firefly-algorithm

K. Karboune, I. Chaib, S. Arif, A. Choucha
2021 International Journal of Development  
In this paper, the Firefly Algorithm (FA) is proposed to find the optimal solution for the Optimal Power Flow (OPF) problem in a power system.  ...  The proposed algorithm is applied to determine the optimal settings of control variables of the OPF problem.  ...  Hydrothermal optimal power flow based on a combined linear and non-linear programming methodology. IEEE Trans Power Apparatus Syst PWRS-4(2):530-537 5.  ... 
doi:10.21608/idj.2021.216606 fatcat:xm6rti4xrfgbhddzgj7vf766iy

Hybridizing exact methods and metaheuristics: A taxonomy

L. Jourdan, M. Basseur, E.-G. Talbi
2009 European Journal of Operational Research  
The interest about hybrid optimization methods has grown for the last few years. Indeed, more and more papers about cooperation between heuristics and exact techniques are published.  ...  In this paper, we propose to extend an existing taxonomy for hybrid methods involving heuristic approaches in order to consider cooperative schemes between exact methods and metaheuristics.  ...  There exist numerous exact methods such as the family of Branch and X (Branch and Bound algorithm [58] , Branch and Cut algorithm [42] , Branch and Price algorithm [12] ), Linear Programming, Dynamic  ... 
doi:10.1016/j.ejor.2007.07.035 fatcat:uq3aphcfqbgujf5idpcdqxd66i

Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant

Quoc Tran Dinh, Carlo Savorgnan, Moritz Diehl
2011 IEEE Conference on Decision and Control and European Control Conference  
In this paper we propose a new algorithm for solving nonlinear optimal control problems which is called real-time sequential convex programming (RTSCP).  ...  The main difference between this approach and the previous realtime iteration algorithms is that RTSCP linearizes only the nonconvex parts of the problem while it preserves all the convex structure which  ...  This section presents two algorithmic frameworks. First, we propose a local optimization method for solving nonlinear optimization problems, which is called sequential convex programming (SCP).  ... 
doi:10.1109/cdc.2011.6160919 dblp:conf/cdc/QuocSD11 fatcat:ayeeepmmtbgkhgfaabpurvio3y

Optimal power flow: a bibliographic survey I

Stephen Frank, Ingrida Steponavice, Steffen Rebennack
2012 Energy Systems, Springer Verlag  
Over the past half-century, Optimal Power Flow (OPF) has become one of the most important and widely studied nonlinear optimization problems.  ...  Keywords electric power systems · optimal power flow · optimal power flow formulations · optimal power flow requirements · deterministic optimization · global optimization · nonlinear optimization · survey  ...  Sequential Quadratic Programming Sequential Quadratic Programming (SQP), also known as Successive Quadratic Programming, is the solution of an NLP problem by solving a series of QP problems that converge  ... 
doi:10.1007/s12667-012-0056-y fatcat:icsiux73qvffrh3mxxnutpsg54

A convex OPF approximation for selecting the best candidate nodes for optimal location of power sources on DC resistive networks

Oscar Danilo Montoya
2019 Engineering Science and Technology, an International Journal  
This paper proposes a convex approximation approach for solving the optimal power flow (OPF) problem in direct current (DC) networks with constant power loads by using a sequential quadratic programming  ...  A linearization method based on the Taylor series is used for the convexification of the power balance equations.  ...  Financial support This work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (COLCIENCIAS) through the National Scholarship Program under Grant 727  ... 
doi:10.1016/j.jestch.2019.06.010 fatcat:tlfufyigvbfujf4fubyzjuzytu

Scalable min-register retiming under timing and initializability constraints

Aaron P. Hurst, Alan Mishchenko, Robert K. Brayton
2008 Proceedings of the 45th annual conference on Design automation - DAC '08  
Reducing the register count is motivated by positive consequences for physical design, verification, and power consumption, but it is critically necessary for synthesis that these timing and functionality  ...  We demonstrate that a maximum-flow-based approach to register-minimization is a useful platform for incorporating varied design constraints.  ...  ACKNOWLEDGEMENTS This work was supported by SRC contracts 1361.001 and 1444.001, NSF grant CCF-0702668 "Sequentially Transparent Synthesis", and the California Micro Program with our industrial sponsors  ... 
doi:10.1145/1391469.1391604 dblp:conf/dac/HurstMB08 fatcat:wsxwcnvnxvhvrppg2bvou53szq

Distributed Maximum Lifetime Routing in Wireless Sensor Networks Based on Regularization

Vahid Shah-Mansouri, Vincent W. S. Wong
2007 IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference  
One way is to formulate it as a linear programming problem by maximizing the time at which the first node runs out of energy subject to the flow conservation constraints.  ...  Given the feasible solutions set, one can further define a secondary optimization problem by minimizing the end-to-end packet transfer delay or power consumption.  ...  ACKNOWLEDGEMENT This work is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors would like to thank Michael Friedlander for discussions on this paper.  ... 
doi:10.1109/glocom.2007.117 dblp:conf/globecom/Shah-MansouriW07 fatcat:rmxznoeq2bau5ebull2xo7ktgu

A review of recent advances in economic dispatch

B.H. Chowdhury, S. Rahman
1990 IEEE Transactions on Power Systems  
These areas are:-(i) Optimal power flow, (ii) economic dispatch in relation to AGC, (iii) dynamic dispatch and (iv) economic dispatch with non-conventional generation sources.  ...  The time period considered is 1977-88. This is done to avoid any repetition of previous studies which were published prior to 1977.  ...  The authors use an on-line parametric linear programming algorithm for the AD model. present an algorithm to incorporate the effects of uncertain system parameters into optimal power flow.  ... 
doi:10.1109/59.99376 fatcat:7wdy6pmxnfcvtomo4oqlb5jm6a

Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

Rana.H.A. Zubo, Geev Mokryani, Haile-Selassie Rajamani, Jamshid Aghaei, Taher Niknam, Prashant Pillai
2017 Renewable & Sustainable Energy Reviews  
Optimal power flow under equality and inequality constraints could be used to control instability of power supply, and active and reactive power variations that are caused by the voltage rise effect [36  ...  With the above backdrop, the novelty of this work relates to review the optimization method used in DGs placement problem in addition to uncertainties methods.  ...  Acknowledgement This work was supported in part by the SITARA project funded by the British Council and the Department for Business, Innovation and Skills, UK and in part by the University of Bradford,  ... 
doi:10.1016/j.rser.2016.10.036 fatcat:k37hfzm4dvblvchvizornz6jj4

Editorial: A special issue on optimization and related topics dedicated to Professor Roman Polyak

2021 Journal of Applied and Numerical Optimization  
power flow and antenna design.  ...  The NR theory allows to eliminate the basic drawbacks of the classical Sequential Unconstrained Minimization Technique for Nonlinear Programming (NLP).  ...  Lately, Roman developed the Nonlinear Equilibrium theory -an alternative to Linear Programming for optimal allocation limited resources.  ... 
doi:10.23952/jano.3.2021.1.01 fatcat:fposxxyzqfgaxfznwryuxawf5a

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Iram Parvez, JianJian Shen, Mehran Khan, Chuntian Cheng
2019 Water  
Hydro power is the only renewable energy source for many countries, so there is a need to find better methods which give optimal hydro scheduling.  ...  However, the mixed integer nonlinear programming, mixed integer linear programming, sequential lagrange and non-linear approach deals with network constraints and head sensitive cascaded hydropower plants  ...  Acknowledgments: The authors would like to acknowledge the financial support from China scholarship council (CSC) for higher studies of Iram Parvez and Engr.  ... 
doi:10.3390/w11071392 fatcat:xpcleotz7zezxirdrkcaeccumm

Review of Reactive Power Planning: Objectives, Constraints, and Algorithms

Wenjuan Zhang, Fangxing Li, Leon M. Tolbert
2007 IEEE Transactions on Power Systems  
The conventional algorithms include linear programming, nonlinear programming, mixed-integer nonlinear programming, etc.  ...  Index Terms-Evolutionary algorithms (EAs), fuzzy sets, linear programming (LP), mixed integer nonlinear programming (MINLP), multi-objective optimization, nonlinear programming (NLP), OPF, reactive power  ...  ACKNOWLEDGMENT The authors would like to thank Oak Ridge National Laboratory for the financial support in part to accomplish this paper.  ... 
doi:10.1109/tpwrs.2007.907452 fatcat:v4bbfs4bxjcyvmig2tczxpzmym

Review of reactive power planning: objectives, constraints, and algorithms

Wenjuan Zhang, Fangxing Li, Leon Tolbert
2008 2008 IEEE/PES Transmission and Distribution Conference and Exposition  
The conventional algorithms include linear programming, nonlinear programming, mixed-integer nonlinear programming, etc.  ...  Index Terms-Evolutionary algorithms (EAs), fuzzy sets, linear programming (LP), mixed integer nonlinear programming (MINLP), multi-objective optimization, nonlinear programming (NLP), OPF, reactive power  ...  ACKNOWLEDGMENT The authors would like to thank Oak Ridge National Laboratory for the financial support in part to accomplish this paper.  ... 
doi:10.1109/tdc.2008.4517065 fatcat:b2xo4rdtfjbftanuyvm5pavcf4
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