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Optimization Methods Application to Optimal Power Flow in Electric Power Systems

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Optimization in the Energy Industry

Part of the book series: Energy Systems ((ENERGY))

Summary

Optimal power flow is an optimizing tool for power system operation analysis, scheduling and energy management. Use of the optimal power flow is becoming more important because of its capabilities to deal with various situations. This problem involves the optimization of an objective functions that can take various forms while satisfying a set of operational and physical constraints. The OPF formulation is presented and various objectives and constraints are discussed. This paper is mainly focussed on review of the stochastic optimization methods which have been used in literature to solve the optimal power flow problem. Three real applications are presented as well.

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Author information

Authors and Affiliations

  1. Laboratory of Systems Control and Automation, Lithuanian Energy Institute, kaunas, Lithuania

    Virginijus Radziukynas

  2. Faculty of Informatics, Vytautas Magnus University, kaunas, Lithuania

    Ingrida Radziukyniene

Authors
  1. Virginijus Radziukynas
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  2. Ingrida Radziukyniene
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Editor information

Editors and Affiliations

  1. Am Mahlstein 8, 67273, Weisenheim, Germany

    Josef Kallrath

  2. Department of Industrial & Systems Engineering, University of Florida, 303 Weil Hall, 116595, Gainesville, FL, 32611-6595, USA

    Panos M. Pardalos  & Steffen Rebennack  & 

  3. ProCom GmbH, Luisenstraße 41, 52070, Aachen, Germany

    Max Scheidt

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© 2009 Springer-Verlag Berlin Heidelberg

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Radziukynas, V., Radziukyniene, I. (2009). Optimization Methods Application to Optimal Power Flow in Electric Power Systems. In: Kallrath, J., Pardalos, P.M., Rebennack, S., Scheidt, M. (eds) Optimization in the Energy Industry. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88965-6_18

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  • DOI: https://doi.org/10.1007/978-3-540-88965-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88964-9

  • Online ISBN: 978-3-540-88965-6

  • eBook Packages: EngineeringEngineering (R0)

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