Distribution system identification using FISTA algorithm

The network parameters of the distribution system play a very important role for the network operator in performing a timely and satisfactory operation. Therefore, they require to be updated on a time-to-time basis otherwise it may lead to non-optimal operation of the distribution system. To deal with this issue, the reformulation strategy and the fast iterative shrinkage-thresholding approach (FISTA) algorithm are designed herein to accomplish the network identification objectives using distribution phasor measurement units (D-PMUs) measurements. The presented algorithm has capabilities to determine the manifold tasks such as the identification of structure of the distribution system, variation in network configuration, branch parameters (e.g., conductance and susceptance), and changes in branch parameters. Simulation is performed with the help of the synchronized dataset to validate the efficacy of the presented algorithm on the manifold benchmarked testbeds such as IEEE 34-bus and IEEE 13-bus systems. Additionally, the FISTA algorithm demonstrates excellent performance even with the presence of a certain level of Gaussian noise in the D-PMU measurements. To illustrate the efficacy of the presented work over the state-of-art methods, the comparative analysis is carried out on the benchmarked test cases.