Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm

By Juan Andrés Martín García, A. J. G. Mena. 2013

327 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b34ad0a61669bc0bb60d169160923f5c501cb2d6

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. A. J. G. Mena
2. Juan Andrés Martín García

In Electrical and Electronic Engineering

1. A. J. G. Mena
2. Juan Andrés Martín García
3. C. Das
4. Daryoush Habibi
5. Ganesh Kothapalli
6. Thair Mahmoud
7. Octavian Bass

Citations in the corpus

• Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality (2018, background): “Research continues with the intention of improving the existing approaches and hybridising meta-heuristic approaches with other approaches or their modifications to offer more effective solutions [243,259].”
• An efficient approach for the siting and sizing problem of distributed generation (2015, methodology): “Recently, a new algorithm using MTLBO and the approximate loss formula used in [2] has been proposed by the authors [5] to solve the size and placement problem minimizing only the power losses.”