Relevant bibliographies by topics / Power-flow solution

Academic literature on the topic 'Power-flow solution'

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Published: 14 March 2023

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Journal articles on the topic "Power-flow solution"

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Shi, Libao, Chen Wang, Liangzhong Yao, Yixin Ni, and Masoud Bazargan. "Optimal Power Flow Solution Incorporating Wind Power." IEEE Systems Journal 6, no. 2 (June 2012): 233–41. http://dx.doi.org/10.1109/jsyst.2011.2162896.

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Oh, HyungSeon. "Distributed optimal power flow." PLOS ONE 16, no. 6 (June 18, 2021): e0251948. http://dx.doi.org/10.1371/journal.pone.0251948.

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Objective The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found, and 3) develop a scalable algorithm that guarantees the convergence to a local minimum. Existing challenges Due to the nonconvexity of the problem, the search for a solution to OPF problems is not scalable, which makes the OPF highly limited for the system operation of large-scale real-world power grids—“the curse of dimensionality”. The recent attempts at distributed computation aim for a scalable and efficient algorithm by reducing the computational cost per iteration in exchange of increased communication costs. Motivation A new network model allows for efficient computation without increasing communication costs. With the network model, recent advancements in distributed computation make it possible to develop an efficient and scalable algorithm suitable for large-scale OPF optimizations. Methods We propose a new network model in which all nodes are directly connected to the center node to keep the communication costs manageable. Based on the network model, we suggest a nodal distributed algorithm and direct communication to all nodes through the center node. We demonstrate that the suggested algorithm converges to a local minimum rather than a point, satisfying the first optimality condition. Results The proposed algorithm identifies solutions to OPF problems in various IEEE model systems. The solutions are identical to those using a centrally optimized and heuristic approach. The computation time at each node does not depend on the system size, and Niter does not increase significantly with the system size. Conclusion Our proposed network model is a star network for maintaining the shortest node-to-node distances to allow a linear information exchange. The proposed algorithm guarantees the convergence to a local minimum rather than a maximum or a saddle point, and it maintains computational efficiency for a large-scale OPF, scalable algorithm.
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Pires, Robson, G. Chagas, and Lamine Mili. "Enhanced power flow solution in complex plane." International Journal of Electrical Power & Energy Systems 135 (February 2022): 107501. http://dx.doi.org/10.1016/j.ijepes.2021.107501.

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Hiskens, I. A., and R. J. Davy. "Exploring the Power Flow Solution Space Boundary." IEEE Power Engineering Review 21, no. 8 (August 2001): 57. http://dx.doi.org/10.1109/mper.2001.4311544.

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Rehman, Bilawal, and Chongru Liu. "AC/DC multi-infeed power flow solution." IET Generation, Transmission & Distribution 13, no. 10 (May 21, 2019): 1838–44. http://dx.doi.org/10.1049/iet-gtd.2018.6781.

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Wang, Lu, Niande Xiang, Shiying Wang, and Mei Huang. "Parallel reduced gradient optimal power flow solution." Electric Power Systems Research 17, no. 3 (November 1989): 229–37. http://dx.doi.org/10.1016/0378-7796(89)90025-4.

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Hiskens, I. A., and R. J. Davy. "Exploring the power flow solution space boundary." IEEE Transactions on Power Systems 16, no. 3 (2001): 389–95. http://dx.doi.org/10.1109/59.932273.

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Jovanović, S. M., and B. S. Babić. "Decoupled and decomposed power flow solution method." International Journal of Electrical Power & Energy Systems 9, no. 2 (April 1987): 117–21. http://dx.doi.org/10.1016/0142-0615(87)90033-0.

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Kulworawanichpong, Thanatchai. "Simplified Newton–Raphson power-flow solution method." International Journal of Electrical Power & Energy Systems 32, no. 6 (July 2010): 551–58. http://dx.doi.org/10.1016/j.ijepes.2009.11.011.

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Weng, Zhenxing, Libao Shi, Zheng Xu, Qiang Lu, Liangzhong Yao, and Yixin Ni. "Fuzzy power flow solution considering wind power variability and uncertainty." International Transactions on Electrical Energy Systems 25, no. 3 (January 14, 2014): 547–72. http://dx.doi.org/10.1002/etep.1871.

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Dissertations / Theses on the topic "Power-flow solution"

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Laury, John. "Optimal Power Flow for an HVDC Feeder Solution for AC Railways." Thesis, KTH, Elektrisk energiomvandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104655.

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With today’s increasing railway traffic, the demand for electrical power has increased. However, several railway systems are weak and are not being controlled optimally. Thus, transmission losses are high and the voltage can be significantly lower than the nominal level. One proposal, instead of using an extra HVAC power supply system, is to implement a HVDC supply system. A HVDC supply line would be installed in parallel to the current railway catenary system and power can be exchanged between the HVDC grid and the catenary through converters. This thesis investigates different properties and behaviours of a proposed HVDC feeder solution. An AC/DC unified Optimal Power Flow (OPF) model is developed and presented. Decision variables are utilized to obtain proper control of the converters. The used power flow equations and converter loss function, which are non linear, and the use of binary variables for the unit commitment leads to an optimization problem, that requires Mixed Integer Non-Linear Programing (MINLP) for solving. The optimization problem is formulated in the software GAMS, and is solved by BONMIN. In each case investigated, the objective is to minimize the total active power losses. The results of the investigated cases presented in this thesis, show that the proposed OPF-controlled HVDC solution reduces the losses and provides better voltage profile at the catenary, compared with today’s supply systems.
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Kleinberg, Michael R. Miu Karen Nan. "Distributed multi-phase distribution power flow : modeling, solution algorithm, and simulation results /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/1307.

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Huneault, Maurice. "An investigation of the solution to the optimal power flow problem incorporating continuation methods /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75853.

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This thesis analyzes and tests some new solution techniques for the optimal power flow problem. This new methodology exploits a parametric technique, called the continuation method, which is applied to different tasks in the solution procedure. In a first application, the continuation method solves the quadratic subproblems generated sequentially by the optimal power flow's nonlinear program. It first creates a simple subproblem, which is easy to solve, and then links it to the subproblem we wish to solve. Starting at the solution of the simple problem, it generates optimal solution trajectories for the intermediate problems, leading to the desired optimal solution. In a second application, the algorithm tracks optimal solutions trajectories of the nonlinear problem when the load is slowly varied. This constitutes an example of "incremental loading", a technique already used for real power dispatch, but in this case a complete network model is used. The flexibility of the algorithm at various levels allows for some excellent computation times in this load-tracking mode: we have observed reductions in computation times for new solutions of the order of 70%, compared to the computation time of the initial load.
This thesis first presents an analysis of the various structures used in optimal power flow algorithms. Then, having chosen and presented the structure of our algorithm, we analyze the quadratic subproblems generated by this algorithm for some of its more important tasks: minimum cost, minimum losses and load shedding. New rules are proposed to link the solutions of successive subproblems to ensure the convergence of the nonlinear problem. Then, as a final contribution to the theory, some extensions are suggested for the subproblems: among them are ramp constraints, bus incremental costs, and provisions for redispatching.
Numerical simulations of the proposed optimal power flow algorithm using the minimum fuel cost task were performed on four test systems, with sizes ranging from 6 to 118 buses. The results are documented in detail, and results for the 30 bus test are compared to those reported by other authors. All in all, our results demonstrate quite well the potential of this technique. (Abstract shortened with permission of author.)
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Isazadeh, Mohammad Ali. "Numerical solution of reacting laminar flow heat and mass transfer in ducts of arbitrary cross-sections for power-law fluids." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41628.

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This study is concerned with the numerical analysis, formulation, programming and computation of solution of steady, 3D conservation equations of reacting laminar duct flow heat and mass transfer in ducts of arbitrary cross-sections. The non-orthogonal boundary-fitted coordinate transformation method is applied to the Cartesian form of overall-continuity, momenta, energy and species-continuity equations, parabolized in the axial direction. The boundary conditions are also transformed accordingly.
In the mathematical modelling of the system under consideration, variable physical and transport properties of fluid, viscous heat-dissipation and buoyancy effects are also considered. The non-Newtonian power-law constitutive equation is employed to express the rheology of the purely viscous fluid considered.
Applying a novel feature of the solution procedure, the contravariant velocity components are introduced into the transformed equations while the physical Cartesian velocity components are retained as dependent variables of the velocity field in the equations. This approach greatly simplifies the subsequent finite-difference formulation of the transformed equations. The latter equations are discretized by the control-volume finite-difference method in which a suitably-adopted staggered grid is employed using Patankar's B-type arrangement in the transformed plane. For discretization, the transformed equations are integrated over 3D control-volumes, followed by differencing the convective and diffusive terms employing upwind and central-difference schemes respectively. A modified version of the SIMPLER algorithm is introduced in the solution procedure and a line-by-line TDMA algorithm is employed for the solution of the discretization equations.
A computer-programme is developed for the generation of non-orthogonal grids corresponding to the B-type arrangement in the transformed plane. A general computer programme in Fortran is developed in this study for the solution of flow, heat and mass transfer problems for laminar reacting fluids in straight ducts of arbitrary cross-sections for Newtonian and purely viscous non-Newtonian fluids. The model and computer codes are validated by theoretical, experimental and numerical results from various sources.
The computer programmes are employed for studies in the analysis of hydrodynamics and heat transfer in the thermal entrance regions of ducts of arbitrary cross-sections for Newtonian and non-Newtonian fluids. Relevant results are documented for triangular, trapezoidal and pentagonal ducts. The computer programmes are ultimately employed for simulation of the production of polystyrene in arbitrary cross-sectional duct reactors.
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HIPOLITO, FABIO C. "Avaliação das metodologias de análise de sistemas de tubulações de vapor sujeitas a carregamentos do tipo Steam Hammer." reponame:Repositório Institucional do IPEN, 2016. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26938.

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Submitted by Marco Antonio Oliveira da Silva (maosilva@ipen.br) on 2016-12-21T18:18:35Z No. of bitstreams: 0
Made available in DSpace on 2016-12-21T18:18:35Z (GMT). No. of bitstreams: 0
Carregamentos transientes termo hidráulicos do tipo Steam Hammer são eventos comuns em sistemas de tubulações de vapor com grandes potenciais de catástrofes em plantas de geração de energia. Uma vez iniciado o evento, ondas de pressões são geradas com amplitudes, geralmente, de grande magnitude ocasionando altas pressões no sistema, ruídos, deformações, fadiga, com possibilidade de danos materiais e econômicos e em casos extremos fatalidades. Os procedimentos da indústria para análise deste tipo de sistema consistem realização de análises estáticas equivalentes ou análise de espectro de resposta com carregamentos caracterizados por meio de métodos analíticos baseados em hipóteses simplificadoras do fluido e fluxo. Neste trabalho é proposta a analise de sistema de tubulações por meio do método de integração numérica com superposição modal e carregamento caracterizado por método numérico com base no método das características. Comparações foram efetuadas entre os resultados obtidos pela metodologia proposta e os procedimentos da indústria, demonstrando que, dado ao alto grau de conservadorismo, os procedimentos da indústria acarretam em superdimensionamento de estruturas e tubulações ocasionando custos adicionais de projeto, sendo a otimização do projeto obtida aplicando-se a metodologia proposta no trabalho.
Dissertação (Mestrado em Tecnologia Nuclear)
IPEN/D
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP
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Xu, Wenyuan. "A multiphase harmonic load flow solution technique." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/31035.

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This thesis presents a comprehensive solution technique for power system harmonic analysis with unbalanced load flow conditions. It is based on multiphase modelling of the system in phase quantities. Two of the most important features of this technique are the multiphase approach to the harmonic load flow problem, and the capability to add component nonlinearities easily. The first feature allows the technique to be used for either single-phase or three-phase, and for either balanced or unbalanced harmonic analysis. The second feature allows the later addition of power electronic device models. The technique is simple in concept. The nonlinear elements are first modelled as harmonic Norton equivalent circuits based on the network load flow conditions. These linear circuits are then included in the network solution with multiphase load flow constraints and network unbalances. Once the new load flow solutions are obtained, improved Norton equivalent circuits can be calculated, which in turn are used for improved network solutions. The entire solution scheme is therefore iterative, and stops when certain convergence criteria are met. The unbalanced harmonics from nonlinear inductors, synchronous machines and static compensators with thyristor-controlled reactors are studied in this thesis. The convergence properties of the technique are investigated with test cases and theoretical analysis. In addition to the harmonic load flow analysis, this technique can also be used as an improved initialization procedure for the Electromagnetic Transient Program (EMTP).
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Salgado, Roberto de Souza. "Optimal power flow solutions using the gradient projection method." reponame:Repositório Institucional da UFSC, 1989. http://repositorio.ufsc.br/xmlui/handle/123456789/75577.

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Abur, Ali. "Knowledge-based power flow models and array processor-based power flow solutions for fast prediction of system states /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487261553057511.

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García-Blanco, Raquel. "Efficient solvers for power flow equations : parametric solutions with accuracy control assessment." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/458887.

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The Power Flow model is extensively used to predict the behavior of electric grids and results in solving a nonlinear algebraic system of equations. Modeling the grid is essential for design optimization and control. Both applications require a fast response for multiple queries to a parametric family of power flow problems. Different solvers have been introduced especially designed for the algebraic nonlinear power flow equations, providing efficient solutions for single problems, even when the number of degrees of freedom is considerably large. However, there is no existing methodology providing an explicit solution of the Parametric Power Flow problem (viz. a computational vademecum, explicit in terms of the parameters). This work aims precisely at designing algorithms producing computational vademecums for the Parametric Power Flow problem. Once these solutions are available, solving for different values of the parameters is an extremely fast (real-time) post-process and therefore both the optimal design and the control problem can readily be addressed. In a first phase, a new family of iteratives solvers for the non-parametric version of the problem is devised. The method is based on a hybrid formulation of the problem combined with an alternated search directions scheme. These methods are designed such that it can be generalized to deal with the parametric version of the problem following a Proper Generalized Decomposition (PGD) strategy. The solver for the parametric problem is conceived by performing the operations involving the unknowns in a PGD fashion. The algorithm follows the basic steps of the algebraic solver, but some operations are carried out in a PGD framework, that is requiring a nested iterative algorithm. The PGD solver is accompanied with an error assessment technique that allows monitoring the convergence of the iterative procedures and deciding the number of terms required to meet the accuracy prescriptions. Different examples of realistic grids and standard benchmark tests are used to demonstrate the performance of the proposed methodologies.
El modelo de flujo de potencias se usa para predecir el comportamiento de redes eléctricas y desemboca en la resolución de un sistema de ecuaciones algebraicas no lineales. Modelar una red es esencial para optimizar su diseño y control. Ambas aplicaciones requieren una respuesta rápida a las múltiples peticiones de una familia paramétrica de problemas de flujo de potencias. Diversos métodos de resolución se diseñaron especialmente para resolver la versión algebraica de las ecuaciones de flujo de potencias. Sin embargo, no existe ninguna metodología que proporcione una solución explícita al problema paramétrico de flujo de potencias (esto quiere decir, un vademecum computacional explícito en términos de los parámetros). Esta tesis tiene como objetivo diseñar algoritmos que produzcan vademecums para el problema paramétrico de flujo de potencias. Una vez que las soluciones están disponibles, resolver problemas para diferentes valores de los parámetros es un posproceso extremadamente rápido (en tiempo real) y por lo tanto los problemas de diseño óptimo y control se pueden resolver inmediatamente. En la primera fase, una nueva familia de métodos de resolución iterativos para la versión algebraica del problema se construye. El método se basa en una formulación híbrida del problema combinado con un esquema de direcciones alternadas. Estos métodos se han diseñado para generalizarlos de forma que puedan resolver la versión paramétrica del problema siguiendo una estrategia llamada Descomposición Propia Generalizada (PGD). El método de resolución para el problema paramétrico calcula las incógnitas paramétricas usando la técnica PGD. El algoritmo sigue los mismo pasos que el algoritmo algebraico, pero algunas operaciones se llevan a cabo en el ambiente PGD, esto requiere algoritmos iterativos anidados. El método de resolución PGD se acompaña con una evaluación del error cometido permitiendo monitorizar la convergencia de los procesos iterativos y decidir el número de términos que requiere la solución para alcanzar la precisión preescrita. Diferentes ejemplos de redes reales y tests estándar se usan para demostrar el funcionamiento de las metodologías propuestas.
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Wu, Wei. "Research on loop flow problem and its solutions in Macau power system." Thesis, University of Macau, 2003. http://umaclib3.umac.mo/record=b1807202.

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Books on the topic "Power-flow solution"

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Lin, Chin-Shun. Similar solutions for viscous hypersonic flow over a slender three-fourths-power body of revolution. [Washington, DC]: National Aeronautics and Space Administration, 1987.

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Lin, Chin-Shun. Similar solutions for viscous hypersonic flow over a slender three-fourths-power body of resolution. Cleveland, Ohio: Institute for Computational Mechanics in Propulsion, Lewis Research Center, 1987.

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Angelidis, George Angelo *. Newton optimal power-flow solution for electric power systems. 1988.

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Angelidis, George Angelos. Hydro-thermal optimal power flow solution for large-scale electric power systems. 1992.

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Sen, Kalyan K., and Mey Ling Sen. Power Flow Control Solutions for a Modern Grid Using SMART Power Flow Controllers. Wiley & Sons, Incorporated, John, 2021.

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Sen, Kalyan K., and Mey Ling Sen. Power Flow Control Solutions for a Modern Grid Using SMART Power Flow Controllers. Wiley & Sons, Incorporated, John, 2021.

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Power Flow Control Solutions for a Modern Grid Using SMART Power Flow Controllers. Wiley & Sons, Limited, John, 2022.

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Sen, Kalyan K., and Mey Ling Sen. Power Flow Control Solutions for a Modern Grid Using SMART Power Flow Controllers. Wiley & Sons, Limited, John, 2021.

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Book chapters on the topic "Power-flow solution"

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Guamán, W. P., G. N. Pesántez, X. A. Proaño, E. M. Pérez, and W. V. Tigse. "Power Flow Solution Combining Newton-Raphson and Fast Decoupled Methods." In Innovation and Research, 222–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60467-7_19.

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Kang, Changqing, and Lei Yuan. "A Power Flow Solution by Newton-Raphson and Time Domain Simulation." In Advances in Intelligent and Soft Computing, 831–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-03718-4_102.

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Rhodes, Jeffrey M. "Creating a Survey Solution with Microsoft Forms, Flow, SharePoint, and Power BI." In Creating Business Applications with Office 365, 99–103. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5331-1_11.

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Dilip, Ladumor, Rajnikant Bhesdadiya, Indrajit Trivedi, and Pradeep Jangir. "Optimal Power Flow Problem Solution Using Multi-objective Grey Wolf Optimizer Algorithm." In Intelligent Communication and Computational Technologies, 191–201. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5523-2_18.

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Ahmad, Manzoor, Nadeem Javaid, Iftikhar Azim Niaz, Sundus Shafiq, Obaid Ur Rehman, and Hafiz Majid Hussain. "Application of Bird Swarm Algorithm for Solution of Optimal Power Flow Problems." In Advances in Intelligent Systems and Computing, 280–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93659-8_25.

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Shaw, Binod, Abhik Banerjee, V. Mukherjee, and S. P. Ghoshal. "Solution of Optimal Power Flow by an Opposition-Based Gravitational Search Algorithm." In Intelligent Computing and Applications, 545–57. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2268-2_56.

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Wang, J. L., and L. Xia. "Optimal PMU Placement of the Power Systems Based on Incidence Matrix for Direct Solution of Power Flow." In Lecture Notes in Electrical Engineering, 869–76. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2386-6_112.

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Krishnanand, K. R., Syed Muhammad Farzan Hasani, Bijaya Ketan Panigrahi, and Sanjib Kumar Panda. "Optimal Power Flow Solution Using Self–Evolving Brain–Storming Inclusive Teaching–Learning–Based Algorithm." In Lecture Notes in Computer Science, 338–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38703-6_40.

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Shaw, Binod, V. Mukherjee, and S. P. Ghoshal. "Solution of Optimal Power Flow with FACTS Devices Using Opposition-Based Gravitational Search Algorithm." In Swarm, Evolutionary, and Memetic Computing, 661–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_57.

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Bastin Solai Nazaran, J., and K. Selvi. "A Covariance Matrix Adapted Evolution Strategy Based Solution to Optimal Power Flow Plus Transmission Charging." In Communications in Computer and Information Science, 765–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25734-6_135.

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Conference papers on the topic "Power-flow solution"

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Gajalakshmi, P., and S. Rajesh. "Fuzzy modeling of power flow solution." In INTELEC 07 - 29th International Telecommunications Energy Conference. IEEE, 2007. http://dx.doi.org/10.1109/intlec.2007.4448913.

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Andrade, Omar Perez, and Jose Horacio Tovar Hernandez. "Power Flow Solution in Direct Current Power Systems." In 2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE, 2018. http://dx.doi.org/10.1109/ropec.2018.8661365.

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Quan Nguyen, Tuan Ngo, and Surya Santoso. "Power flow solution for multi-frequency AC power systems." In 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2016. http://dx.doi.org/10.1109/tdc.2016.7519952.

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Leeton, Uthen, and Thanatchai Kulworawanichpong. "Multi-Agent Based Optimal Power Flow Solution." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307223.

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Wada, Takayuki, Ryosuke Morita, Toru Asai, Izumi Masubuchi, and Yasumasa Fujisaki. "Randomized solution for robust optimal power flow." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040201.

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Iyer, Jyoti, and B. N. Suthar. "Evaluation of power flow solution space boundary." In 2016 International Conference on Next Generation Intelligent Systems (ICNGIS). IEEE, 2016. http://dx.doi.org/10.1109/icngis.2016.7854021.

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Barzegar, Alireza, Ali Sadollah, Leila Rajabpour, and Rong Su. "Optimal power flow solution using water cycle algorithm." In 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2016. http://dx.doi.org/10.1109/icarcv.2016.7838690.

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Suharto, M. N., M. Y. Hassan, M. S. Majid, M. P. Abdullah, and F. Hussin. "Optimal power flow solution using evolutionary computation techniques." In TENCON 2011 - 2011 IEEE Region 10 Conference. IEEE, 2011. http://dx.doi.org/10.1109/tencon.2011.6129074.

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Daqaq, Fatima, Mohamed Ouassaid, Rachid Ellaia, and Ahmed Tchvagha Zeine. "Optimal Power Flow Solution Including Stochastic Renewable Resources." In 2018 6th International Renewable and Sustainable Energy Conference (IRSEC). IEEE, 2018. http://dx.doi.org/10.1109/irsec.2018.8702843.

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Xia, Y., K. W. Chan, and M. Liu. "Infeasibility detection and solution for optimal power flow." In 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20062208.

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Reports on the topic "Power-flow solution"

1

Wang, Bin, and Jin Tan. DC-AC Tool: Fully Automating the Acquisition of AC Power Flow Solution. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1844199.

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2

McCraney, Joshua. Analysis of Capillary Flow in Interior Corners : Perturbed Power Law Similarity Solutions. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2721.

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