Multi-objective optimization of the electrical energy of a smart microgrid with the aim of simultaneously improving the user's profit and the subscriber's profit in the presence of demand response programs

In this research, two-level optimization is used for the exploitation of renewable resources and energy storage in a microgrid in the presence of load response programs. Also, a real-time and dynamic pricing scheme is proposed, which simultaneously benefits the consumers and the system operator. It increases the distribution. The presented model is multi-objective and two-level optimization. The upper level refers to increasing the profit of the distribution system operator, and the lower level deals with optimizing the profit of subscribers and increasing social welfare. In the continuation of the proposed multi-objective problem using The Pareto optimization technique based on the method of weighted sum functions is converted into a single-objective fabric problem, then the ant trap algorithm is used to achieve the optimal solution in response. Finally, the effectiveness of the proposed method in a sample microgrid.

کلیدواژه ها:

Renewable energy ، Multi-objective optimization ، Demand response ، Distribution system