2018/10/29 by Miguel Picallo, Picallo, Miguel, Adolfo Anta +3
Engineering · #FOS: Electrical engineering #Low-power high-performance VLSI design #Optimal Power Flow Distribution #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1810.12195
openalex publication_date 2018/10/29 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
The small amount of measurements in distribution grids makes their monitoring\nmore difficult. Topological observability may not be possible, and thus,\npseudo-measurements are needed to perform state estimation, which is required\nto control elements such as distributed generation or transformers at\ndistribution grids. Therefore, we consider the problem of optimal sensor\nplacement to improve the state estimation accuracy in large-scale, 3-phase\ncoupled, unbalanced distribution grids. This is an NP-hard optimization problem\nwhose optimal solution is unpractical to obtain for large networks. Therefore,\nwe develop a computationally efficient convex optimization algorithm to compute\na lower bound on the possible value of the optimal solution, and thus check the\ngap between the bound and heuristic solutions. We test the method on a large\ntest feeder, the standard IEEE 8500-node, to show the effectiveness of the\napproach.\n