Risk neutral and risk averse Stochastic Dual Dynamic Programming method

► Generic description of the Stochastic Dual Dynamic Programming (SDDP) method is given. ► Case studies related to operation planning of the Brazilian interconnected power system are presented. ► Risk averse approaches to multistage stochastic programming adjusted to the SDDP method are developed. ►...

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Veröffentlicht in:European journal of operational research Jg. 224; H. 2; S. 375 - 391
Hauptverfasser: Shapiro, Alexander, Tekaya, Wajdi, da Costa, Joari Paulo, Soares, Murilo Pereira
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 16.01.2013
Elsevier
Elsevier Sequoia S.A
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ISSN:0377-2217, 1872-6860
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Abstract ► Generic description of the Stochastic Dual Dynamic Programming (SDDP) method is given. ► Case studies related to operation planning of the Brazilian interconnected power system are presented. ► Risk averse approaches to multistage stochastic programming adjusted to the SDDP method are developed. ► General methodology is tested in extensive numerical experiments. ► Risk neutral and risk averse SDDP method could be a reasonable approach if the number of state variables is small. In this paper we discuss risk neutral and risk averse approaches to multistage (linear) stochastic programming problems based on the Stochastic Dual Dynamic Programming (SDDP) method. We give a general description of the algorithm and present computational studies related to planning of the Brazilian interconnected power system.
AbstractList In this paper we discuss risk neutral and risk averse approaches to multistage (linear) stochastic programming problems based on the Stochastic Dual Dynamic Programming (SDDP) method. We give a general description of the algorithm and present computational studies related to planning of the Brazilian interconnected power system. [PUBLICATION ABSTRACT]
► Generic description of the Stochastic Dual Dynamic Programming (SDDP) method is given. ► Case studies related to operation planning of the Brazilian interconnected power system are presented. ► Risk averse approaches to multistage stochastic programming adjusted to the SDDP method are developed. ► General methodology is tested in extensive numerical experiments. ► Risk neutral and risk averse SDDP method could be a reasonable approach if the number of state variables is small. In this paper we discuss risk neutral and risk averse approaches to multistage (linear) stochastic programming problems based on the Stochastic Dual Dynamic Programming (SDDP) method. We give a general description of the algorithm and present computational studies related to planning of the Brazilian interconnected power system.
Author Shapiro, Alexander
Tekaya, Wajdi
da Costa, Joari Paulo
Soares, Murilo Pereira
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  surname: Tekaya
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  givenname: Joari Paulo
  surname: da Costa
  fullname: da Costa, Joari Paulo
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  givenname: Murilo Pereira
  surname: Soares
  fullname: Soares, Murilo Pereira
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Issue 2
Keywords Average Value-at-Risk
Dynamic equations
Multistage stochastic programming
Risk averse
Stochastic Dual Dynamic Programming
Sample average approximation
Warranty
Interconnected power system
Financial management
Linear programming
Risk analysis
Modeling
Stochastic programming
Risk aversion
Planning
Risk management
Portfolio management
Quantile
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Elsevier
Elsevier Sequoia S.A
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Philpott (10.1016/j.ejor.2012.08.022_b0040) 2008; 36
10.1016/j.ejor.2012.08.022_b0070
References_xml – volume: 52
  start-page: 359
  year: 1991
  end-page: 375
  ident: b0035
  article-title: Multi-stage stochastic optimization applied to energy planning
  publication-title: Mathematical Programming
– reference: A. Shapiro and W. Tekaya, Report for technical cooperation between Georgia Institute of Technology and ONS – Operador Nacional do Sistema Eletrico – Risk Averse Approach, Technical Report, 2011.
– volume: 22
  start-page: 86
  year: 2012
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Snippet ► Generic description of the Stochastic Dual Dynamic Programming (SDDP) method is given. ► Case studies related to operation planning of the Brazilian...
In this paper we discuss risk neutral and risk averse approaches to multistage (linear) stochastic programming problems based on the Stochastic Dual Dynamic...
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SubjectTerms Applied sciences
Average Value-at-Risk
Dynamic equations
Dynamic programming
Electricity distribution
Exact sciences and technology
Mathematical programming
Multistage stochastic programming
Operational research and scientific management
Operational research. Management science
Portfolio theory
Risk averse
Risk aversion
Risk theory. Actuarial science
Sample average approximation
Stochastic Dual Dynamic Programming
Stochastic models
Studies
Title Risk neutral and risk averse Stochastic Dual Dynamic Programming method
URI https://dx.doi.org/10.1016/j.ejor.2012.08.022
http://www.econis.eu/PPNSET?PPN=733995535
https://www.proquest.com/docview/1112234406
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