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PV Integration

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Intelligent Network Integration of Distributed Renewable Generation

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

This chapter presents the integration of Photovoltaic (PV) sources into distribution systems. Firstly, different types of time-varying voltage-dependent load models are introduced along with solar PV modelling, where a probability distribution function is used to describe the uncertainty of PV generation with detailed steps for steady-state analyses. To incorporate PV outputs as multistate variables in the problem formulation, a combined generation-load is also briefly explained. Secondly, various impact indices, namely active power loss, reactive power loss and voltage deviation indices to aid the integration of PV sources are introduced with their detailed mathematical model. A combination of these indices with appropriate weights based on priority to form a multi-objective index is also described in the model. Based on such an index, an expression for sizing PV units at various locations is also introduced along with a computational procedure to determine the best allocation for a PV unit. Finally, examples of application of the proposed methodologies on different distribution systems are presented in this chapter.

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Authors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

    Nadarajah Mithulananthan

  2. School of Engineering, Deakin University, Geelong, VIC, Australia

    Duong Quoc Hung

  3. Department of Electrical and Computer Engineering, Baylor University, Waco, TX, USA

    Kwang Y. Lee

Authors
  1. Nadarajah Mithulananthan
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  2. Duong Quoc Hung
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  3. Kwang Y. Lee
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Corresponding author

Correspondence to Nadarajah Mithulananthan .

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Mithulananthan, N., Hung, D.Q., Lee, K.Y. (2017). PV Integration. In: Intelligent Network Integration of Distributed Renewable Generation . Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-49271-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-49271-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49270-4

  • Online ISBN: 978-3-319-49271-1

  • eBook Packages: EnergyEnergy (R0)

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