Determining the optimal price by considering load response programs with the aim of improving the profit of consumers and correcting the network load factor

In this article, a real-time pricing scheme for load response programs is proposed, taking into account the uncertainty of renewable energy sources, which simultaneously increases the profit of consumers and the network operator and improves the network load factor. It is possible for consumers to participate in the plans provided by the network operator and pay the price offered by the operator for their energy consumption. On the other hand, the network operator tries to prevent the price from creating a new peak load in times of low electricity prices and to improve the network load factor. The presented model is modeled as a multi-objective and two-level optimization. The upper level deals with the maximization of the user's profit and the improvement of the network load factor, and the optimization of the consumers' profit is modeled at the lower level. The presented model has been solved using GAMS and MATLAB software, and the presented results show the effectiveness of the proposed model.

Keywords:

Distribution system , Demand response , Real time