World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , 

World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 4.326

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from 3.419 to 4.236 due to high quality Publication at International Level

  • WJERT NOVEMBER ISSUE PUBLISHED

    NOVEMBER 2017 Issue has been successfully launched on 1 November 2017

  • New Issue Published

    Its Our pleasure to inform you that, WJERT 1 November 2017 Issue has been Published, Kindly check it on http://wjert.org/home/current_issues

Indexing

Abstract

MODELLING AND ASSESSMENT OF WIND ENERGY RESOURCE FOR POWER DISTRIBUTION SYSTEM

Zainab M. Gwoma, Musa Mustapha*, Umar A. Benisheikh, Babangida Modu, Abdurahman B. Buji

ABSTRACT

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.

[Full Text Article]