Distributed optimization with coupling linear equality and inequality constraints via problem reformulation

We propose a novel approach for solving distributed optimization problems. Our aim is to transform initial optimization problem making possible application of standard methods for obtaining solution in a distributed way. We consider gradient type methods for discrete time and explicit Runge-Kutta type methods for continuous time. Our results are supported by simulations of frequency control and congestion management in IEEE 39-bus power system.