2011•Acta Scientiarum Naturalium Universitatis SunyatseniRequires access

Smart Grid Demand Side Response Model to Mitigate Peak Demands on Electrical Networks

Marwan, Fouad, Kamel

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Abstract

The work presents a demand side response(DSR) model,which assists electricity consumers to proactively mitigate peak demand on electrical networks in Eastern and Southern Australia. A low-cost technical arrangement,which is made of Internet relay,a router,solid state switches,and the suitable software,is used to control electricity demand at user’s premises. The model allows shifting loads from peak to off-peak periods in order to reduce peaks,which helps to moderate the national electrical demand. The model can be concurrently used to accommodate the utilization of renewable energy sources and the introduction of electric vehicles. The results present possible savings on the electrical energy consumption in the designated regions.

About this research paper

What this paper is about

The work presents a demand side response(DSR) model,which assists electricity consumers to proactively mitigate peak demand on electrical networks in Eastern and Southern Australia. A low-cost technical arrangement,which is made of Internet relay,a router,solid state switches,and the suitable software,is used to control electricity demand at user’s premises. The model allows shifting loads from peak to off-peak periods in order to reduce peaks,which helps to moderate the national electrical demand. The model can be concurrently used to accommodate the utilization of renewable energy sources and the introduction of electric vehicles. The results present possible savings on the electrical energy consumption in the designated regions.

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Available abstract

The work presents a demand side response(DSR) model,which assists electricity consumers to proactively mitigate peak demand on electrical networks in Eastern and Southern Australia. A low-cost technical arrangement,which is made of Internet relay,a router,solid state switches,and the suitable software,is used to control electricity demand at user’s premises. The model allows shifting loads from peak to off-peak periods in order to reduce peaks,which helps to moderate the national electrical demand. The model can be concurrently used to accommodate the utilization of renewable energy sources and the introduction of electric vehicles. The results present possible savings on the electrical energy consumption in the designated regions.

Key concepts: Electricity, Demand response, Smart grid, Peak demand, Renewable energy, Grid, Router, Work (physics)

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