Abstract
This paper presents a fuzzy logic method and experimental investigation to determine distribution power systems loading measurements accuracy. The method is applied on loading measurements associated with a real South African power systems network, and includes manufacturing supply loading measurements. The results show fuzzy logic as an efficient strategy in determining loading data accuracy in comparison to a traditional approach of manually human analysis. The method is less time consuming relative to the traditional method of going through the data manually. The paper further illustrates that the approach can be applied in manufacturing plants’ power systems distribution networks.
| Original language | English |
|---|---|
| Pages (from-to) | 435-439 |
| Number of pages | 5 |
| Journal | Procedia Manufacturing |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Fuzzy logic
- South Africa
- power distribution
- power loading
- power measurements accuracy
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
Fingerprint
Dive into the research topics of 'Determining Distribution Power System Loading Measurements Accuracy Using Fuzzy Logic'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver