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Deterministic and Probabilistic Models for Energy Management in Distribution Systems

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Handbook of Optimization in Electric Power Distribution Systems

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

Abstract

Distribution network conventionally have been designed and operated as some passive and radial networks. However, the presence of distributed energy resources (DERs) has changed these networks’ vision into some active ones. In this regard, new operational studies in the distribution level such as energy management problem has brought into existence. In this regard, this chapter mainly investigates the problem of energy management in distribution systems penetrated by DERs. To reach this goal, different classes of energy management problem, i.e., deterministic and stochastic models are carefully put under investigation. Extracting the mathematical model of these algorithms, it has been discussed that which algorithms should be applied to effectively solve the associated optimization problem. At the end, two examples associated with stochastic modeling of energy management problem, implemented on a sample case study, are provided to show how this problem can be applied in active distribution networks.

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Author information

Authors and Affiliations

  1. Sharif University of Technology, Tehran, Iran

    Milad Kabirifar, Niloofar Pourghaderi & Ali Rajaei

  2. Faculty of Energy Engineering Department, Sharif University of Technology, Tehran, Iran

    Moein Moeini-Aghtaie

  3. Faculty of Electrical Engineering Department, Sharif University of Technology, Tehran, Iran

    Amir Safdarian

Authors
  1. Milad Kabirifar
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  2. Niloofar Pourghaderi
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  3. Ali Rajaei
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  4. Moein Moeini-Aghtaie
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  5. Amir Safdarian
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Corresponding author

Correspondence to Moein Moeini-Aghtaie .

Editor information

Editors and Affiliations

  1. Department of Electrical Systems of Automation and Energy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    Mariana Resener

  2. Institute for Operations Research (IOR), Stochastic Optimization (SOP), Karlsruhe Institute of Technology, Karlsruhe, Germany

    Steffen Rebennack

  3. Department of Industrial & Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  4. Department of Electrical Systems of Automation and Energy, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    SĂ©rgio Haffner

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Kabirifar, M., Pourghaderi, N., Rajaei, A., Moeini-Aghtaie, M., Safdarian, A. (2020). Deterministic and Probabilistic Models for Energy Management in Distribution Systems. In: Resener, M., Rebennack, S., Pardalos, P., Haffner, S. (eds) Handbook of Optimization in Electric Power Distribution Systems. Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-36115-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-36115-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36114-3

  • Online ISBN: 978-3-030-36115-0

  • eBook Packages: EnergyEnergy (R0)

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