Demand Side Management techniques facilitate in obtaining cost effective solutions to handle peak load scenarios by deferring installation of additional power generation. The hourly temperature profiles, particularly for temperature sensitive devices of residential load become important to estimate the load demand. In this paper, a mathematical model is developed to generate the hourly temperature profiles considering data based on maximum average, minimum average and average temperatures for all months in a year. Simulation code is developed using MATLAB and the results are in close agreement with the measured data of Oman. The model developed is a generic in nature and may be used for any location. The role of temperature sensitive devices becomes implicit when correlation between temperature and load are plotted. The viable demand side management strategies are discussed in paper to reduce the electricity demand.
|Number of pages||6|
|Journal||International Review on Modelling and Simulation|
|Publication status||Published - 1 Jan 2010|
- temperature profiles
- correlation coefficient