Estudo da capacidade de hospedagem de geradores distribuídos fotovoltaicos em redes de distribuição de baixa tensão: uma abordagem probabilística utilizando simulações de Monte Carlo

Abstract

This work aims to perform the study and quantification of the hosting capacity (CH) of a low voltage distribution network from the massive insertion of photovoltaic distributed generation. The methodology used becomes possible through the implementation of the Probabilistic Method of Monte Carlo with the use of the Python programming language that allows the creation of numerous simulation scenarios, where the connection point of the distributed photovoltaic generation, power of the generators and the amount of generation systems is randomly chosen. To perform the calculation of the power flow, it is used the use of opendss software (Open Distribution System Simulator) integrated into the tool in Python from a DLL (Dynamic Link Library) to control and execute the programming logic. After all the scenarios created, the power, imbalance and amplitude of punctual voltage are measured in the loads that were installed the photovoltaic generators and also in the secondary of the transformer. That said, a statistical analysis is performed in order to determine the hosting capacity of the network, since ANEEL (National Electric Energy Agency) establishes minimum parameters for the imbalance and voltage level to maintain a good quality of electricity. And finally, since the hosting capacity is dynamic, and cannot be generalized, because at each point of the system has its characteristics and thus it is necessary to identify the CH separately for each system bars, however, it can be pre-established around 60% or 70% of photovoltaic penetration level, since power concessionaires can install battery banks or relocate consumers to other phases in order to mitigate impacts on the network.