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Degree

Master of Science (MS), Ohio University, Electrical Engineering (Engineering and Technology), 2009.

Abstract

Load growth/forecasting have become a significant importance research area to the operation of electricity organizations whether they are governmental or nongovernmental entities. It enhances the reliability of the power system and energy efficiency. This thesis presents a study of residential load growth in Kabul City for a sustainable condition.

The main stages are the analysis of data and information received from the semi-structured interview with authorities at the Ministry of Energy and Water, De Afghanistan Brishna Mossessa (DABM), power companies involved in distribution system, household drop-off survey, 30-min kWh demand data, and the historical data received from DABM.

Eventually, it was found how much power does a customer consumes now and an appliance-based approach was initiated to investigate the kWh will be consumed by a residential customer on sustainable condition. Consequently, these results determine the number of customers to be connected to distribution transformers.

Subject Headings

Electrical engineering; Energy

Keywords

Power System; Load Growth; Load Forecasting; Residential Load Growth; Sustainability

Committee / Advisors

Jeffrey Giesey, PhD (Advisor)
Savas Kaya, PhD (Committee Member)
Wojciech Jadwisienczak, PhD (Committee Member)
Xiaoping Shen, PhD (Committee Member)

Pages

104p.

Document number: ohiou1257515533
Permalink: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1257515533

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