Networked control of parallel DC/DC buck converters

Microgrids and Hybrid Electric Vehicles rely on parallel DC/DC converters for power generation. DC/DC converters are connected in parallel to share the same load. The control signals are distributed through wires. The wiring increases the complexity and reduces the reliability. The recent advances in shared wireless networks made them viable and cheap alternative to direct wiring. Distributing the control signals over shared networks reduces the complexity in the wiring and enhances the reliability. Transmitting control signals through shared network induces time delay and data loss which may destabilize the system. These imperfections make the system stochastic and in many cases these imperfection can be modeled using Markov chains. This paper presents the stabilization of parallel DC/DC converters over stochastic nondeterministic network represented by Markov chains.