What is it about?
A kind of constrained multiobjective optimization based on nondominated immune algorithm is used to optimize microgrids
Featured Image
Why is it important?
The optimization results can result in energy savings
Perspectives
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.
Dr huang daizheng
Guangxi Medical University
Read the Original
This page is a summary of: Constrained multiobjective optimization for microgrid based on nondominated immune algorithm, IEEJ Transactions on Electrical and Electronic Engineering, March 2015, Wiley,
DOI: 10.1002/tee.22096.
You can read the full text:
Contributors
The following have contributed to this page
