2020/12/04 by Rabayet Sadnan, Sadnan, Rabayet, Anamika Dubey +1
Engineering · #Optimal Power Flow Distribution #Advanced MIMO Systems Optimization #Power Line Communications and Noise
paper · pdf · doi:10.48550/arxiv.2012.02473
The limitations of centralized optimization methods for power systems\noperation have led to the distributed computing paradigm, particularly in power\ndistribution systems. The existing techniques reported in recent literature for\nsolving distributed optimization problems are not viable for power distribution\nsystems applications. The essential drawback remains a large number of required\ncommunication rounds, i.e., macro-iterations among the computing agents to\nsolve one instance of the optimization problem; the typical number of\nmacro-iterations are in the order of 102~103. In this paper, a new and\nscalable distributed optimization method based on Equivalent Network\nApproximation (ENApp) is proposed to solve optimal power flow (OPF) for a\nbalanced radial distribution system. Specifically, the distribution system's\nradial topology is leveraged to reduce the decomposed systems into upstream and\ndownstream network equivalents. The proposed innovations reduce the required\nnumber of macro-iterations/communication-rounds for convergence by order of\nmagnitude. The approach is validated using IEEE 123-bus and IEEE 8500-node test\nsystems and is shown to converge to the same optimal solution as obtained using\nan equivalent centralized OPF (C-OPF) model.\n