چكيده به لاتين
As the number of smart grid players increase, controlling exchanges among them increase too besides the increasing the network performance. To achieve this goal, the concept of a virtual power plant is defined for collecting network players according to a single set of units. More precisely, these players must come to an agreement to maximize the value of their energy services in a virtual power plant. Therefore, finding and using players, which complement each other, in a virtual power plant cause to get more profit for distributed producers. On the other hand, in a power grid the less prediction error of production which leads a more reliable system for renewable energies is remarkable. In this research, a framework has been proposed for the formation of a dynamic holonic virtual power plant. Also, the relationship between net profit and producer has been investigated.
In this framework, the Shapley value, which is one of the economic models in game theory, has been used in the formation of the holonics. Also, a pricing methodology based on the rewards is used to create incentives for manufacturers to join a virtual power plant and form it. The proposed framework is implemented in the Netlogo framework, which is a suitable environment for simulating multi-agent systems. The results of the proposed framework compared to the framework which is implemented for cooperative virtual powerhouse show noticeable improvements. Although, in the aforementioned framework, the producers use coalition strategy, which has a flat structure, for participating in a virtual power plant, our proposed framework has a hierarchical structure that causes to have accelerated negotiations compared to the above baseline framework. Accordingly, the agents would benefit from the coalition sooner and the results of our work show a significant improvement over this cooperative framework.
