Distributed Optimization Using Reduced Network Equivalents for Radial Power Distribution Systems

The limitations of centralized optimization methods for power systems operation have led to the distributed computing paradigm, particularly in distribution systems. existing techniques reported recent literature solving problems are not viable applications. essential drawback remains a large number required communication rounds, i.e., macro-iterations among agents solve one instance problem; typical order 10 2 ~ xmlns:xlink="http://www.w3.org/1999/xlink">3 . In this paper, new and scalable method based on Equivalent Network Approximation (ENApp) is proposed optimal flow (OPF) balanced radial system. Specifically, system's topology leveraged reduce decomposed into upstream downstream network equivalents. innovations macro-iterations/communication-rounds convergence by magnitude. approach validated using IEEE 123-bus 8500-node test shown converge same solution as obtained an equivalent OPF (C-OPF) model.