Probabilistic analysis of wind turbine planning using continuous genetic algorithm in distribution systems

Abstract

This paper presents a wind turbine planning problem through generating the different possible scenarios in order to reduce the annual costs of the distribution system. Since the wind turbines output power has a high dependency in wind speed, and the wind speed has an intermittent nature, so modeling of these units is an interesting issue in distribution system studies. This paper considers a specific Rayleigh distribution function for the wind speed in each hour and the different possible scenarios of wind turbine generation with the related probabilities are determined for each hour. Finally the appropriate size and site of the wind turbines is calculated based on all of the defined scenarios. The presented problem is applied on a 9 bus test distribution system using continuous genetic algorithm.