A Virtual Power Plant Construction Method Considering Dynamic Aggregation of Discrete Distributed Resources

With the rapid development of distributed resources, the dispersion of their distribution, the variability of their operation, and the random fluctuation of their power pose a great challenge to the optimal operation of the system. Therefore, a virtual power plant construction model considering dynamic aggregation of discrete distributed resources is proposed to realize the coordinated and optimal operation of discrete distributed resources. First, to address the problem that complementary characteristics of multi-type distributed resources are difficult to model, the aggregate energy based on landscape theory is established to quantify the matching relationship between distributed resources. Second, asymmetric robust intervals are used to meticulously describe the stochastic output of renewable energy, and the complex robust model is transformed into a mixed-integer linear programming model. Finally, a dynamic aggregation model of a virtual power plant is established by considering the two objectives of maximizing aggregate energy and minimizing cost, as well as tracking scheduling instructions and the physical feasibility constraints of cross-space aggregation. The proposed virtual power plant construction method is verified to be reasonable and feasible by combining the improved IEEE 39-bus example.