Probabilistic Placement of Wind Turbines in Distribution Networks

Year 2018, Volume: 18 Issue: 2, 234 - 241, 03.08.2018

Tohid Sattarpour , Mohammad Sheikhi Sajjad Golshannavaz Daryoush Nazarpour

Abstract

DOI: 10.26650/electrica.2018.001

This study presents an efficient approach for determining the optimal locations of wind turbines (WTs) in distribution systems, which considers the existing uncertainties in the power generation of WTs and the load demand of consumers. The daily load profiles of the seasonal and geographical-dependent behaviors of WTs are also considered. The proposed probabilistic approach is based on scenario tree modeling, and each scenario is assessed in regard to power loss minimization. Then, the TOPSIS (technique for order preference by similarity to an ideal solution) method is adopted to regulate the optimal placement of WTs considering the average value and the standard deviation of active power losses as possible attributes. This approach enables a multi-attribute analysis of the search space to yield a more efficient solution. Detailed simulation studies, conducted on IEEE 33-bus test system, are utilized to examine the effectiveness of the proposed method. The results of this study are discussed in depth.

Keywords

Wind turbine, uncertainty, scenario tree modeling, optimal placement

Probabilistic Placement of Wind Turbines in Distribution Networks

Abstract

DOI: 10.26650/electrica.2018.001

This
study presents an efficient approach for determining the optimal locations of
wind turbines (WTs) in distribution systems, which considers the existing
uncertainties in the power generation of WTs and the load demand of consumers.
The daily load profiles of the seasonal and geographical-dependent behaviors of
WTs are also considered. The proposed probabilistic approach is based on
scenario tree modeling, and each scenario is assessed in regard to power loss
minimization. Then, the TOPSIS (technique for order preference by similarity to
an ideal solution) method is adopted to regulate the optimal placement of WTs
considering the average value and the standard deviation of active power losses
as possible attributes. This approach enables a multi-attribute analysis of the
search space to yield a more efficient solution. Detailed simulation studies,
conducted on IEEE 33-bus test system, are utilized to examine the effectiveness
of the proposed method. The results of this study are discussed in depth.

Keywords

Wind turbine, uncertainty, scenario tree modeling, optimal placement

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