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A Hybrid Metaheuristic for the Optimal Design of Photovoltaic Installations

  • Matteo SalaniEmail author
  • Gianluca Corbellini
  • Giorgio Corani
Chapter
Part of the AIRO Springer Series book series (AIROSS, volume 1)

Abstract

We consider the Photovoltaic Installation Design Problem (PIDP) were photovoltaic modules must be organized in strings and wired to a set of electronic devices. The aim is to minimize installation costs and maximize power production considering “mismatch losses” caused by non-uniform irradiation (shading) and directly related to design decisions. We relate the problem to the known class of location routing problems and thanks to the existing knowledge on the problem, we design a route-first cluster-second heuristic. We propose an efficient machine learning approach to evaluate the installation performances accounting for mismatch losses. We prove that our approach is effective on real-world instances provided by our industrial partner.

Keywords

Metaheuristic Machine learning Photovoltaic installation design 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Matteo Salani
    • 1
  • Gianluca Corbellini
    • 2
  • Giorgio Corani
    • 1
  1. 1.Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/DTI-SUPSILuganoSwitzerland
  2. 2.Institute for Applied Sustainability to the Built Environment (ISAAC), DACD-SUPSIPorzaSwitzerland

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