Wake Analysis on Wind Farm Power Generation for Loss Minimization in Radial Distribution System

Abstract

DG technology has always been an interface for improving power efficiency and power quality in distribution system. The objective of the work is to minimize the distribution system line losses with wind energy as DG. A wind farm is formed with irregularly placed wind turbines to generate maximum energy with minimum wake loss caused by single wake as well as multi wake effect. The wake losses are analyzed with varying inter turbine horizontal distance for the same wind farm. A new reconfigured wind farm is designed which minimizes the wake loss due to wake effect on downstream turbines and enhances the power generation from the wind farm. This paper presents the complete analysis of wake losses caused to each individual turbine. The hourly wind speed data is generated from previously available thousands of wind speed data using Kernel Density Estimation (KDE). Load Impedance Matrix (LIM) based Distribution System Load Flow (DSLF) method is implemented to find the power losses and bus voltages in the system. For the study, effect of air density on wind, wake effect on wind and hourly load variation are considered. Two standard test cases, IEEE-28 and IEEE-69 bus Radial Distribution System (RDS) are considered for the optimal DG placement. The optimal location of DG is found out using Grey Wolf Optimization (GWO) Technique.