Abstract
Distribution system state estimation is a fundamental tool for the management and control functions envisaged for future distribution grids. The design of accurate and efficient algorithms is essential to provide estimates compliant with the needed accuracy requirements and to allow the real-time operation of the different applications. To achieve such requirements, peculiarities of the distribution systems have to be duly taken into account. Branch current-based estimators are an efficient solution for performing state estimation in radial or weakly meshed networks. In this paper, a simple technique, which exploits the particular formulation of the branch current estimators, is proposed to deal with zero injection and mesh constraints. Tests performed on an unbalanced IEEE 123-bus network show the capability of the proposed method to further improve efficiency performance of branch current estimators.
Highlights
In the smart grid (SG) scenario, where control and management activities of the electric distribution network are expected to play a relevant and increasing role, distribution system state estimation (DSSE) is conceived as a fundamental monitoring tool. Control systems, such as distribution management systems (DMSs), must rely on a possibly complete and accurate knowledge of the state of the network given by DSSE [1]
The method exploits the use of rectangular branch currents as state variables of the system to perform a simple elimination of one of the currents involved in a constraint, expressing it as a linear function of the remaining ones
The method is efficient in the management of zero injections and allows the treatment of mesh constraints
Summary
In the smart grid (SG) scenario, where control and management activities of the electric distribution network are expected to play a relevant and increasing role, distribution system state estimation (DSSE) is conceived as a fundamental monitoring tool. A simple way to deal with the equality constraints, well-suited to BC-DSSE (and in particular to the efficient formulation presented in [12]) and based on state vector reduction, is proposed This approach is compared with other traditional and commonly used techniques to underline the advantages by means of simulation results obtained on a IEEE 123-buses three-phase test network. Due to the correct modeling of the zero injection constraints, a slightly better performance can be observed for SVR even for the convergence properties (in terms of average number of iterations) The reasons of such enhancement in the algorithm speed can be found looking at the numerical features of each approach. As a confirmation of such an impact, the condition number obtained changing the weights to 108 and 1012
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