1. Proceedings
  2. I3M
  3. 2018
  4. IMAACA
  5. 10.46354/i3m.2018.imaaca.010

Realising optimum design of a hybrid renewable energy system using multiobjective evolutionary algorithm

  • a Majdi Saidi  
  • b Zhongliang Li  ,
  • c Rachid Outbib  , 
  • d Seifeddine Benelghali  ,
  • e Thiery Le roux  ,
  • f Emmanuel Cardone 
  • abcdAix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France
  • aefLITTLE HORSE Fire Division of Pompes Chaud Froid Industrie, 13420 Gemenos, France
Cite as
Saidi M., Li Z., Outbib R., Benelghali S., Leroux T., Cardone E. (2018). Realising optimum design of a hybrid renewable energy system using multiobjective evolutionary algorithm. Proceedings of the 11th International Conference on Integrated Modeling and Analysis in Applied Control and Automation (IMAACA 2018), pp. 83-88. DOI: https://doi.org/10.46354/i3m.2018.imaaca.010

Abstract

This paper proposes a strategy to find the combined design of hybrid PV/wind electric system and the policy of financial support of state. Different from the most existing proposals, this study formalizes the problem as a multi-objective optimization considering the benefits of both user and supplier. Multi-objective evolution algorithm based on decomposition (MOEA/D) is adopted to solve the formulated problem. The proposed strategy is applied in the case of a company located in the southeast of France. The results validate the effectiveness of the proposal.

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