A reduced order modeling approach for optimal allocation of Distributed Generation in power distribution systems

Author (s): García-Blanco, R.; Díez, P.; Borzacchiello, D. and Chinesta, F.
Journal: 2016 IEEE International Energy Conference (ENERGYCON)

Pages: 1 – 6
Date: 2016

This paper presents an “offline-online” strategy for optimal allocation and sizing of Distributed Generation. In traditional optimization approaches, each function evaluation requires the solution of a power flow problem, which makes global optimality a computationally challenging goal. In the proposed strategy the power flow solver is invoked only once and a parametric solution is constructed with a monolithic solver. Despite the fact that the parametrized power flow equations result in a high-dimensional problem, the proposed algorithm is specifically designed to circumvent the curse of dimensionality. This is achieved through the application of Model Reduction, in particular the Proper Generalized Decomposition combined with a nonlinear solver. Numerical examples are carried out for showing the validity of the proposed method.



author={R. García-Blanco and P. Díez and D. Borzacchiello and F. Chinesta},
booktitle={2016 IEEE International Energy Conference (ENERGYCON)},
title={A reduced order modeling approach for optimal allocation of Distributed Generation in power distribution systems},
keywords={distributed power generation;load flow control;power distribution control;power generation control;reduced order systems;distributed generation;global optimality;monolithic solver;nonlinear solver;offline-online strategy;optimal allocation;optimal sizing;parametrized power flow equation;power distribution systems;power flow problem;power flow solver;proper generalized decomposition;reduced order modeling approach;Complexity theory;Distributed power generation;Linear programming;Load flow;Minimization;Optimization;Resource management;Distributed power generation;Model Reduction;Optimal DG allocation;Proper Generalized Decomposition},