Distribution Systems Robust State Estimation in the Presence of Renewable Resources and Considering the Variable Weights of Measurements

The complexity of power systems increases with the advent of intelligent electrical power systems and the use of renewable resources. In order to successfully carry out control and management tasks, the accuracy of the estimated electrical quantities will be an important issue. State estimation plays an important role in this view and is considered as the final loop of the measurement chain. The effect of the errors of measuring devices is such that it directly affects the accuracy of the results, so providing methods to improve robustnessof the estimation algorithm is necessary in relation to the errors in the inputs of this problem. In this paper, a method is proposed to improve the distribution system state estimation (DSSE) algorithm, which provides real and accurate analyzes of the operating conditions of an active distribution system. Thus, in this paper is presented an algorithm using exponential function for weighting tuning of measurement sets of the power system in the form of measurement errors in the presence of wind power plants and loads by non-Gaussian uncertainties and probability functions. For analysis of proposed algorithm, simulations results are carried on IEEE 33-bus and 50-bus distribution systems and demonstrate the effectiveness of the proposed method.