Layout Method of Met Mast Based on Macro Zoning and Micro Quantitative Siting in a Wind Farm

Abstract

In order to promote the wind monitoring accuracy and provide a quantitative planning method for met mast layout in practical projects, this paper proposes a two-stage layout method for met mast based on discrete particle swarm optimization (DPSO) zoning and micro quantitative siting. Firstly, according to the wind turbines layout, rotational empirical orthogonal function and hierarchical clustering methods are used to preliminarily determine zoning number. Considering the geographical proximity of wind turbines and the correlation of wind speed, an optimal macro zoning model of wind farm based on improved DPSO is established. Then, combined with the grid screening method and optimal layout evaluation index, a micro quantitative siting method of met mast is proposed. Finally, the rationality and efficiency of macro zoning method based on improved DPSO, as well as the objectivity and standardization of micro quantitative siting, are verified by an actual wind farm.

Special Issue on “Modeling, Analysis and Control Processes of New Energy Power Systems”

“…Lei et al [1] established a two-stage majorization configuration model to identify and understand how variable energy affects a hybrid energy storage system in active distribution networks. Chen et al [2] proposed a two-stage layout method for the met mast based on discrete particle swarm optimization zoning and micro-sitting. This study provided a quantitative planning method for met mast layout in practical projects with improved wind-monitoring accuracy.…”