The Optimal Tariff Definition Problem for a Prosumers’ Aggregation

  • Antonio Violi
  • Patrizia BeraldiEmail author
  • Massimiliano Ferrara
  • Gianluca Carrozzino
  • Maria Elena Bruni
Part of the AIRO Springer Series book series (AIROSS, volume 1)


This paper deals with the problem faced by an aggregator in defining the optimal tariff structure for a group of prosumers aggregated within a coalition. The random nature of the main parameters involved in the decision process is explicitly accounted for by adopting the stochastic programming framework and, in particular, the paradigm of integrated chance constraints. Numerical experiments carried out on a realistic test case shows the efficacy of the proposed approach in providing more profitable rates for both consumers and producers with respect to the standard market alternatives.


Microgrid Tariff definition Chance constraints 



This work has been partially supported by Italian Minister of Economic Development, Bando HORIZON 2020 PON I&C 2014–2020, with the grant for research project F/050159/01-03/X32 “Power Cloud: Tecnologie e Algoritmi nell’ambito dell’attuale quadro regolatorio del mercato elettrico verso un new deal per i consumatori e i piccoli produttori di energia da fonti rinnovabili”.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Antonio Violi
    • 1
    • 2
  • Patrizia Beraldi
    • 1
    Email author
  • Massimiliano Ferrara
    • 3
    • 4
  • Gianluca Carrozzino
    • 1
  • Maria Elena Bruni
    • 1
  1. 1.DIMEGUniversity of CalabriaRende (CS)Italy
  2. 2.INNOVA s.r.l.Rome (RM)Italy
  3. 3.Decision LabDIGIEC, Mediterranean University of Reggio CalabriaReggio CalabriaItaly
  4. 4.ICRIOSBocconi UniversityMilanItaly

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