Centralized electrical networks induce a dependency of local territories for their power supply. However, thanks to microgrids, territories can increase their decision-making autonomy to design a network that matches their values. Technological and management choices are critical to minimize microgrids negative impacts on their environment. Influence of the latter on the design space is rarely discussed whereas extending the design space would help to find innovative microgrids. The purpose of this paper is to find several microgrids with various performances and parameters that are compromises between economic, technical and environmental objectives. The solutions’ variety therefore extends the decision-makers’ design space. A tool has been developed to answer this goal. Design parameters are both technological and management parameters. A physical modelling is implemented in a sequential simulation of the microgrid operation. The performance of the simulation allows to use genetic algorithms to perform multi-objective non-weighted optimizations. Two two-objective optimizations are performed. Results show how the solutions’ diversity in terms of performances and parameters helps the user choosing innovative microgrids. Especially, it underlines the potential of this approach to find microgrids with close performances but different parameters.

集中式电网导致对当地电力供应的依赖。然而，多亏了微电网，领土可以增加他们的决策自主权，以设计一个与其价值观相匹配的网络。技术和管理选择对于尽量减少微电网对其环境的负面影响至关重要。后者对设计空间的影响很少讨论，而扩展设计空间将有助于找到创新的微电网。本文的目的是找到几个具有各种性能和参数的微电网，这些微电网在经济、技术和环境目标之间取得了折衷。因此，解决方案的多样性扩展了决策者的设计空间。已经开发了一个工具来回答这个目标。设计参数既是技术参数，也是管理参数。在微电网运行的顺序模拟中实现物理建模。模拟的性能允许使用遗传算法来执行多目标非加权优化。执行两个双目标优化。结果显示了解决方案在性能和参数方面的多样性如何帮助用户选择创新的微电网。特别是，它强调了这种方法在寻找性能接近但参数不同的微电网方面的潜力。结果显示了解决方案在性能和参数方面的多样性如何帮助用户选择创新的微电网。特别是，它强调了这种方法在寻找性能接近但参数不同的微电网方面的潜力。结果显示了解决方案在性能和参数方面的多样性如何帮助用户选择创新的微电网。特别是，它强调了这种方法在寻找性能接近但参数不同的微电网方面的潜力。