Optimal Placement and Sizing of Distributed Generation via an Improved Nondominated Sorting Genetic Algorithm II

By W. Sheng, Ke-yan Liu, Yuan Liu, Xiaoli Meng, Yunhua Li. IEEE Transactions on Power Delivery, 2015

196 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/daff126c9f3ee10042ac5e5cb4004f856f8f51ff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Junjian Qi
2. Dongbo Zhao

In Electrical and Electronic Engineering

1. Junjian Qi
2. Dongbo Zhao
3. Guoqing Li

Citations in the corpus

• Optimal distributed generation planning in active distribution networks considering integration of energy storage (2018, methodology): “As a result of this study, the following general conclusions can be drawn: 1) The proposed two-stage optimization method is superior to current state-of-the-art DG planning approaches, such as NSGA-II, MOPSO and MOHS, embodying that our method yields better results for all of the objectives such as ”