Análise do impacto de medidas remotas na estimação de estados em sistemas de distribuição

Abstract

The acquisition of data in the areas of generation, transmission and distribution is of extreme importance, since they form the basis of the Electric Power System. However, it presents the most complex and growing scope of distribution within the evolution directed to smart grids. Thus, the importance of obtaining information, such as measurements, network topologies, device status and other parameters that directly influence the analysis of real-time monitoring variables, is verified. Within this context, the State Estimation method comes as a great allied to the mechanisms found within the energy concessionaires, since it works to analyze, validate, and complement the classical methods of power flow. The objective of the applied method is to evaluate the generators and the load injections, so that the quantities obtained in the power flow algorithm (pseudo-measures) correspond as closely as possible to the values found in the branch flow as well as in the voltages of the bars obtained in meters in the network (actual meters). Therefore, this work seeks to analyze a small Low Voltage distribution network from the State Estimates perspective. Therefore, we try to change the arrangement of the meters and their quantity in the network to apply an index of increase of precision in the estimation of states around the results obtained in the simulations. In summary, the impact of the remote measures in the estimation of states is evaluated, aiming, through the results, to obtain conclusions which help in a better vision of the general panorama of the network.