Constrained multiobjective optimization for microgrid based on nondominated immune algorithm

Daizheng Huang, Renxi Gong, Shu Gong
  • IEEJ Transactions on Electrical and Electronic Engineering, March 2015, Wiley
  • DOI: 10.1002/tee.22096

Constrained Multiobjective Optimization Using Nondominated Immune Algorithm

What is it about?

A kind of constrained multiobjective optimization based on nondominated immune algorithm is used to optimize microgrids

Why is it important?

The optimization results can result in energy savings

Perspectives

Dr huang daizheng
Guangxi Medical University

In this paper, we used nondominated immune CMOA based on crowding distance to optimize MG system, which takes the lowest cost of operation and maintenance as well as the least pollution into account. The optimization results show that the MG can minimize economic loss and provide good environmental protection, which can result in energy savings.

Read Publication

http://dx.doi.org/10.1002/tee.22096

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