A multi-objective optimization approach for the design of stand-alone electrification systems based on renewable energies

作者：

Highlights：

• Multi-objective optimization for the design of autonomous electrification systems.

• Adaptation of the ε-constraint method, using a heuristic search engine embedded.

• Design of a pruning technique to reduce the set of non-dominated configurations.

• Numerical experiments performed for instances built from real Peruvian communities.

摘要

•Multi-objective optimization for the design of autonomous electrification systems.•Adaptation of the ε-constraint method, using a heuristic search engine embedded.•Design of a pruning technique to reduce the set of non-dominated configurations.•Numerical experiments performed for instances built from real Peruvian communities.

论文关键词：Stand-alone electrification systems,Multi-objective optimization,Archive pruning strategies

论文评审过程：Received 14 May 2021, Revised 25 November 2021, Accepted 17 March 2022, Available online 22 March 2022, Version of Record 26 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116939