Name
Title | ||
|---|---|---|
Short-Term Forecasting-Based Network Reconfiguration for Unbalanced Distribution Systems With Distributed Generators |
Abstract | ||
|---|---|---|
This article proposes a network reconfiguration methodology using repository-based constrained nondominated sorting genetic algorithm with preference order ranking for an unbalanced distribution system. The algorithm can accommodate the variable nature of load demand and distributed generator output. A mathematical multiobjective model is formulated to obtain the optimal topology for a whole day considering minimization of daily energy loss, energy not supplied, and cumulative current unbalance factor under the constraint of minimum switching action. A wavelet transform-based ARIMA model is used for wind speed forecasting and is proposed for solar irradiance and load forecasting as well. Hourly network reconfiguration (NR) is also performed, and a comparison is performed between hourly and whole-day NR. The proposed approach has been implemented on IEEE 34-bus and IEEE 123-bus systems to evaluate the effectiveness of the developed methodologies. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2019.2946423 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Forecasting,Predictive models,Load modeling,Wind speed,Time series analysis,Data models,Load forecasting | Journal | 16 |
Issue | ISSN | Citations |
7 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priyanka Gangwar | 1 | 0 | 1.01 |
| Aasim Mallick | 2 | 0 | 0.34 |
| Saikat Chakrabarti | 3 | 188 | 21.86 |
| S. N. Singh | 4 | 99 | 13.38 |