Abstract
State estimation of distribution systems typically relies on measurement sets with very low redundancy levels. In this paper, this fact is exploited by first solving a conventional load flow, using exclusively a critical set of measurements, and then compensating the solution to account for the few redundant measurements available. This leads to a suboptimal but sufficiently accurate estimate. It is shown how the sparse triangular factorization of the load flow Jacobian matrix can be fully exploited throughout the compensation-based procedure, preventing in this way the ill-conditioning associated with the gain matrix arising in the conventional least-squares formulation. Simulation results are provided for measurement configurations customarily found in distribution systems, showing the potential advantages of the proposed methodology.
Highlights
Advanced distribution management systems (ADMS) are expected to host very sophisticated operational tools, capable of tackling the numerous challenges posed by upcoming active distribution networks
The most troublesome lies in the need to increase the level of available measurements, most times confined to High Voltage (HV)/
The corresponding sets of measurements have been generated from a load flow solution, to which Gaussian noise compatible with the standard deviation of each measurement is added
Summary
Advanced distribution management systems (ADMS) are expected to host very sophisticated operational tools, capable of tackling the numerous challenges posed by upcoming active distribution networks. It is well known that the State Estimator (SE) is the cornerstone on which any other. Network parameters, and the available measurements and pseudo-measurements sets for each loading/generating scenarios, the SE determines the most likely state of the system [2]. State Estimation (DSSE) [3,4,5]. Those works analyze the most relevant challenges that utilities have to overcome in order to obtain all the benefits provided by SEs. The most troublesome lies in the need to increase the level of available measurements, most times confined to High Voltage (HV)/
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