HOUSEHOLD POWER DEMAND AND COST OF ELECTRICITY CONSUMED OPTIMIZATION-BASED DSM MODEL
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Sep 16, 2014
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Abstract
All over the world, dynamism in electricity markets is raising a number of challenges which has been identified as declining fuel sources, uncertainties in load growth, higher investments required for capacity addition or grid reinforcement and the cost of offsetting green house gases (GHGs) emissions.
The aim of Demand Side Management (DSM) in power industry is to reduce energy consumption and improve overall electricity usage efficiency through the implementation of policies and methods that control electricity consumption pattern.
In this paper, a mathematical model known as steepest ascent method is developed to evaluate the impact of DSM on power system operation and planning in terms of daily peak demand and cost of electricity consumed for a typical residential building in Lagos, Nigeria.
The peak clipping approach was evidently showcased whereby at peak period, the DSM technique reduced the power and cost of electricity consumed considerably. Cost is calculated in naira (N)
The aim of Demand Side Management (DSM) in power industry is to reduce energy consumption and improve overall electricity usage efficiency through the implementation of policies and methods that control electricity consumption pattern.
In this paper, a mathematical model known as steepest ascent method is developed to evaluate the impact of DSM on power system operation and planning in terms of daily peak demand and cost of electricity consumed for a typical residential building in Lagos, Nigeria.
The peak clipping approach was evidently showcased whereby at peak period, the DSM technique reduced the power and cost of electricity consumed considerably. Cost is calculated in naira (N)