2011•eSpace (Curtin University)Requires access

Mitigation of electricity price/demand using demand side response smart grid model

Muhammad Marwan, Fouad M. Kamel, Wei Xiang

Open publisher page 5 citations

Abstract

The paper describes a demand-side-response scheme, which enables electricity users to act upon electrical market information provided to them on the internet to be reducing/removing peak demands and the associated escalated energy prices. The proposed scheme enables the customer to manage the use of electric energy using a Demand Side Response smart grid technique in order to curtail or shift loads from peak- to low-demand periods. The technique is using computer-controlled switches and pre-programmed relays able to control loads on user's premises following the network's load profile. This technique is proposed in the first instance for East and South Australia where the Australian Energy Market Operator (AEMO) is publicly communicating information about national electrical energy demand and price on the internet. The scheme is targeting best economic conditions for users, suppliers electrical generators and the electrical network. To evaluate the scheme simulations have been conducted using a typical demand-price profile for Queensland. The results are indicating the impact of this scheme on possible savings in electrical energy consumption.

About this research paper

What this paper is about

The paper describes a demand-side-response scheme, which enables electricity users to act upon electrical market information provided to them on the internet to be reducing/removing peak demands and the associated escalated energy prices. The proposed scheme enables the customer to manage the use of electric energy using a Demand Side Response smart grid technique in order to curtail or shift loads from peak- to low-demand periods. The technique is using computer-controlled switches and pre-programmed relays able to control loads on user's premises following the network's load profile. This technique is proposed in the first instance for East and South Australia where the Australian Energy Market Operator (AEMO) is publicly communicating information about national electrical energy demand and price on the internet. The scheme is targeting best economic conditions for users, suppliers electrical generators and the electrical network. To evaluate the scheme simulations have been conducted using a typical demand-price profile for Queensland. The results are indicating the impact of this scheme on possible savings in electrical energy consumption.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The paper describes a demand-side-response scheme, which enables electricity users to act upon electrical market information provided to them on the internet to be reducing/removing peak demands and the associated escalated energy prices. The proposed scheme enables the customer to manage the use of electric energy using a Demand Side Response smart grid technique in order to curtail or shift loads from peak- to low-demand periods. The technique is using computer-controlled switches and pre-programmed relays able to control loads on user's premises following the network's load profile. This technique is proposed in the first instance for East and South Australia where the Australian Energy Market Operator (AEMO) is publicly communicating information about national electrical energy demand and price on the internet. The scheme is targeting best economic conditions for users, suppliers electrical generators and the electrical network. To evaluate the scheme simulations have been conducted using a typical demand-price profile for Queensland. The results are indicating the impact of this scheme on possible savings in electrical energy consumption.

Key concepts: Demand response, Smart grid, Electricity, Peak demand, The Internet, Grid, Load management, Electricity market

Related papers

Back to paper searchBrowse research topicsOriginal source
Mitigation of electricity price/demand using demand side response smart grid model — Research Paper | ScholarLens