Integrated fuzzy state estimation and load flow analysis in distribution networks

In this paper, a fuzzy algorithm for integrated state estimation and load flow analysis in the distribution networks is presented. The algorithm uses an available set of historical data and real-time measurements. The influence of historical data and participation of consumer categories in the node load, as well as influence of real-time measurements on the load estimation, are linguistically described using fuzzy set notation. The corrective fuzzy estimation for minimization of uncertainty fuzzy variables is based on available real-time measurements. Fuzzy solutions can be used directly, as input data for other distribution management system (DMS) fuzzy applications, or indirectly, in the classical algorithms (after the defuzzification is performed). The results and practical aspects of the proposed methodology application on two characteristic real-life distribution networks are presented.