Optimal Allocation of Generalized Power in Energy Internet Based on Time-Sequence Characteristics

In recent years, with the development of distributed generation(DG) technologies, a large number of DG are connected to the distribution network, however, the output of DG is intermittent and random. Considering the timing characteristics of DG and loads, this paper establishes a generalized power optimal configuration model of energy internet which takes power purchasing cost, investment cost, operation and maintenance cost, network loss cost, fuel cost and government subsidies comprehensive cost as the objective functions. The invasive weed optimization(IWO) based on cloud model is used to solve the model. The model and the algorithm proposed in this paper are simulated by IEEE 13 nodes to verify its validity.