Method for parameterization of distribution network equivalents based on Evolutionary Differential Algorithm
Due to the increased insertion of distributed generation (DG), mainly those that use renewable energy sources and have an interface with the grid through static power converters, the need to represent the dynamic behavior of these generation units in stability simulations of the power system becomes more evident. However, these sources must be represented using equivalents, since it is not possible to represent the distribution systems in detail in transmission stability analyses. In the literature, it is possible to find equivalent models for representing these DG units, however the parameterization of these models depends on what information is available about the distribution network and the DG units. For situations where little information is available, it is common to use data driven methods. For the equivalent parameterization problem, it is possible to use measurements obtained during disturbances obtained at the boundary buses between the transmission and distribution system and apply an optimization technique for parameterization of the equivalent model. In this work, the use of the Evolutionary Differential algorithm (ADE) is proposed to parameterize an equivalent distribution network model considering DG. The method is validated using the MATLAB/SIMULINK software to simulate a test network and obtain parameterization of the equivalent of the distribution network.