Linear and Nonlinear Modeling of Demand Response Programs

In recent decades, demand increasing led to increase of energy consumption especially in peak intervals, duration of the peak hours, price spikes, etc. One of the effective solutions to cope with these problems is the demand response programs (DRPs). Responsive loads can affect the power systems conditions based on their price responsivity level. Therefore, mathematical modeling of these loads is necessary to evaluate the impact of them on market conditions. In this chapter, the price-based nonlinear models of responsive loads considering their price elasticity are presented. Different mathematical models for time-of-use (TOU) programs are extracted and then are investigated from different points of view to find out their performance. The market decision makers need to select one of these programs regarding to their goals. The priority assignment of the programs considering different viewpoints is done by Entropy, TOPSIS, and AHP methods.

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