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Assessment of Demand Response Programs based upon Time-of-Use Scheme considering Non-Linear Models

With the ever escalating demand of electrical power, Demand Response (DR) programs has come to the rescue by mitigating the need of setting up additional power plants and generating units. DR programs provides several benefits such as improved reliability and efficient working of already established...

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Bibliographic Details
Main Authors: Kansal, Gaurav, Tiwari, Rajive
Format: Conference Proceeding
Language:English
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Summary:With the ever escalating demand of electrical power, Demand Response (DR) programs has come to the rescue by mitigating the need of setting up additional power plants and generating units. DR programs provides several benefits such as improved reliability and efficient working of already established entities. This paper explores some non-linear models such as power, exponential and logarithmic model when tried upon Iranian load curve in different scenarios such as different elasticity values and different prices. Time-of-use (TOU) program of Price based DR (PBDR) scheme is chosen for modelling of non-linear models. Non-linear load modelling based upon customer benefit function and self & cross elasticity will help in identifying the most suitable and convenient load pattern as per the market and utility needs. Furthermore parameters like peak value, peak reduction, energy consumption, energy reduction and associated deviations are calculated. Resulted data values and characteristics from all models are compared and discussed in detail. Many papers have opted linear approach for DR evaluation and its impact, since customer benefit function is non-linear in nature so non-linear economic models provide better realization of updated demand and DR characteristic. The main advantage of this paper is that it provides a deep understanding of the conservative and non-conservative nature of various non-linear models as compared to initial/base load curve.
ISSN:2642-5289
DOI:10.1109/PIICON56320.2022.10045143