Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes

  • Bruno CanizesEmail author
  • João Soares
  • Mohammad Ali Fotouhi Ghazvini
  • Cátia Silva
  • Zita Vale
  • Juan M. Corchado


The electricity sector is fast moving towards a new era of clean generation devices dispersed along the network. On one hand, this will largely contribute to achieve the multi-national environment goals agreed via political means. On the other hand, network operators face new complexities and challenges regarding network planning due to the large uncertainties associated with renewable generation and electric vehicles integration. In addition, due to new technologies such as combined heat and power (CHP), the district heat demand is considered in the long-term planning problem. The 13-bus medium voltage network is evaluated considering the possibility of CHP units but also without. Results demonstrate that CHP, together with heat-only boiler units, can supply the district heat demand and contribute to network reliability. They can also reduce the expected energy not supplied and the power losses cost, avoiding the need to invest in new power lines for the considered lifetime project.


Distribution networks Optimization Planning Reliability Smart grid Stochastic systems Uncertainty 



This work has received funding from the EU’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013. Bruno Canizes is supported by FCT Funds through SFRH/BD/110678/2015 PhD scholarship and M. Ali Fotouhi Ghazvini is supported by FCT Funds through SFRH/BD/94688/2013 PhD scholarship.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Bruno Canizes
    • 1
    Email author
  • João Soares
    • 1
  • Mohammad Ali Fotouhi Ghazvini
    • 1
  • Cátia Silva
    • 1
  • Zita Vale
    • 1
  • Juan M. Corchado
    • 2
    • 3
    • 4
  1. 1.GECAD–Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto (ISEP/IPP)PortoPortugal
  2. 2.University of SalamancaSalamancaSpain
  3. 3.Osaka Institute of TechnologyOsakaJapan
  4. 4.University of Technology Malaysia, Pusat Pentadbiran Universiti Teknologi MalaysiaSkudaiMalaysia

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