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Information Journal Paper

Title

Dynamic negawatt demand response resource modeling and prioritizing in power markets

Pages

  1361-1372

Abstract

 In recent years, integrated use of demand-and supply-side resources has been performed by electric utilities, because of their potential attractiveness at both operational and economic levels. Demand Response Resources (DRRs) can be used as demand side options, which are the consequence of implementing Demand Response Programs (DRPs). DRPs comprise the actions taken by end-use customers to reduce their electricity consumption in response to electricity market's high prices and/or reliability problems on the electricity network. In this paper, a dynamic economic model of DRPs is derived based upon the concept of exible elasticity of demand and the customer bene t function. Precise modeling of these virtual negawatt resources helps system operators to investigate the impact of responsive loads on power system studies. This paper also aims to prioritize multifarious DRPs by means of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Entropy methods. Performance of the proposed model is investigated through numerical studies using a standard IEEE test system.

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    APA: Copy

    ABDOLLAHI, A., Pour Moallem, N., & ABDOLLAHI, A.. (2020). Dynamic negawatt demand response resource modeling and prioritizing in power markets. SCIENTIA IRANICA, 27(3 (Transactions D: Computer Science and Engineering and Electrical Engineering)), 1361-1372. SID. https://sid.ir/paper/973282/en

    Vancouver: Copy

    ABDOLLAHI A., Pour Moallem N., ABDOLLAHI A.. Dynamic negawatt demand response resource modeling and prioritizing in power markets. SCIENTIA IRANICA[Internet]. 2020;27(3 (Transactions D: Computer Science and Engineering and Electrical Engineering)):1361-1372. Available from: https://sid.ir/paper/973282/en

    IEEE: Copy

    A. ABDOLLAHI, N. Pour Moallem, and A. ABDOLLAHI, “Dynamic negawatt demand response resource modeling and prioritizing in power markets,” SCIENTIA IRANICA, vol. 27, no. 3 (Transactions D: Computer Science and Engineering and Electrical Engineering), pp. 1361–1372, 2020, [Online]. Available: https://sid.ir/paper/973282/en

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