Modelling and assessment of wind energy resource for power distribution system

This paper presents Stochastic Modeling for investigating the performance of wind energy technology using wind speed data for the city of Maiduguri (11.850 N; 13.083 E; altitude 354 m), North-Eastern Nigeria. In this paper, Probability Density Function (PDF) used to match wind speed distribution against wind energy that are contingent on the assessment method and region of interest to enhanced the voltage profile by employing Distributed Generator system (DGs). Many studies on wind energy are based on average wind variation, however, study on elaborate voltage profile distribution of different seasonal weather conditions are lacking. Site matching or fitting presented in these studies is used to determine the best energy distribution for improving voltage profile using wind energy. Wind characteristics obtained from Nigerian Metrological Department are categorize into the three basic seasons that is cold, hot and raining seasons were assessed and evaluated after getting the wind power profile against wind speed PDF Characteristic. Using Probabilistic approach, the maximum power output was found to be 550kW, 350kW, 350kW for raining, hot and cold seasons respectively.