Optimal Long-Term Distributed Generation Planning and Reconfiguration of Distribution Systems: An Accelerating Benders’ Decomposition Approach

In this paper, we study the multi-period distributed generation planning problem in a multistage hierarchical distribution network. We first formulate the problem as a non-convex mixed-integer nonlinear programming problem. Since the proposed model is non-convex and generally hard to solve, we conve...

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Veröffentlicht in:Journal of optimization theory and applications Jg. 179; H. 1; S. 283 - 310
Hauptverfasser: Khodayifar, Salman, Raayatpanah, Mohammad A., Rabiee, Abbas, Rahimian, Hamed, Pardalos, Panos M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.10.2018
Springer Nature B.V
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ISSN:0022-3239, 1573-2878
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Abstract In this paper, we study the multi-period distributed generation planning problem in a multistage hierarchical distribution network. We first formulate the problem as a non-convex mixed-integer nonlinear programming problem. Since the proposed model is non-convex and generally hard to solve, we convexify the model based on semi-definite programming. Then, we use a customized Benders’ decomposition method with valid cuts to solve the convex relaxation model. Computational results show that the proposed algorithm provides an efficient way to solve the problem for relatively large-scale networks.
AbstractList In this paper, we study the multi-period distributed generation planning problem in a multistage hierarchical distribution network. We first formulate the problem as a non-convex mixed-integer nonlinear programming problem. Since the proposed model is non-convex and generally hard to solve, we convexify the model based on semi-definite programming. Then, we use a customized Benders’ decomposition method with valid cuts to solve the convex relaxation model. Computational results show that the proposed algorithm provides an efficient way to solve the problem for relatively large-scale networks.
Author Rabiee, Abbas
Pardalos, Panos M.
Khodayifar, Salman
Raayatpanah, Mohammad A.
Rahimian, Hamed
Author_xml – sequence: 1
  givenname: Salman
  orcidid: 0000-0002-8331-3058
  surname: Khodayifar
  fullname: Khodayifar, Salman
  email: s.khodayifar@iasbs.ac.ir
  organization: Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS)
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  givenname: Mohammad A.
  surname: Raayatpanah
  fullname: Raayatpanah, Mohammad A.
  organization: Faculty of Mathematical Sciences and Computer, Kharazmi University
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  givenname: Abbas
  surname: Rabiee
  fullname: Rabiee, Abbas
  organization: Department of Electrical Engineering, University of Zanjan
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  givenname: Hamed
  surname: Rahimian
  fullname: Rahimian, Hamed
  organization: Department of Integrated Systems Engineering, The Ohio State University
– sequence: 5
  givenname: Panos M.
  surname: Pardalos
  fullname: Pardalos, Panos M.
  organization: Department of Industrial and Systems Engineering, Center for Applied Optimization, University of Florida
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CitedBy_id crossref_primary_10_1109_TPWRS_2021_3098771
crossref_primary_10_3390_en15062299
crossref_primary_10_1080_02286203_2024_2363605
crossref_primary_10_1109_TSG_2020_2974922
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Issue 1
Keywords Multi-period optimal power flow
Benders’ decomposition
90C30
90C11
90C06
Distributed generation
90C27
Combinatorial optimization
Non-convex mixed-integer nonlinear programming
Semi-definite programming
Language English
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PublicationTitle Journal of optimization theory and applications
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Snippet In this paper, we study the multi-period distributed generation planning problem in a multistage hierarchical distribution network. We first formulate the...
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SubjectTerms Applications of Mathematics
Benders decomposition
Calculus of Variations and Optimal Control; Optimization
Distributed generation
Engineering
Mathematics
Mathematics and Statistics
Nonlinear programming
Operations Research/Decision Theory
Optimization
Production scheduling
Reconfiguration
Theory of Computation
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Title Optimal Long-Term Distributed Generation Planning and Reconfiguration of Distribution Systems: An Accelerating Benders’ Decomposition Approach
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