Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction
By Duong Quoc Hung, Nadarajah Mithulananthan. IEEE transactions on industrial electronics (1982. Print), 2013
804 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/f1dca1f8fffdc0017bd10cfd74114758f99c9288
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
- Zhaoyu Wang
- Jianhui Wang
- Bokan Chen
- Hatem H. Zeineldin
- Junjian Qi
- Wei Lee Woon
- Waleed K. A. Najy
- Miroslav M. Begovic
In Electrical and Electronic Engineering
- Zhaoyu Wang
- Bokan Chen
- Jianhui Wang
- Junjian Qi
- Miroslav M. Begovic
- Hatem H. Zeineldin
- Wei Lee Woon
- Waleed K. A. Najy
Citations in the corpus
- Optimal distributed generation planning in active distribution networks considering integration of energy storage (2018, methodology): “For this problem, many attempts have been made in the past two decades to solve it using different methodologies, including analytical approach [10-13], mixed integer non-linear programming (MINLP) [14-16], Kalman filter algorithm [17], and computational intelligence approach [18-20].”
- Stochastic DG Placement for Conservation Voltage Reduction Based on Multiple Replications Procedure (2015, methodology): “A wide range of methods has been proposed for DG placement, which can be divided into three categories: 1) sensitivity analysis [13], [15]; 2) analytical approaches [16], [17]; and intelligence algorithms (IAs) [18]–[20].”
- Optimal Protection Coordination for Microgrids With Grid-Connected and Islanded Capability (2013, methodology): “This has been done in the context of control [21], [22], DG design [23], mitigation of harmonics [24], and planning [25].”