Decentralized LQG control with online set-point adaptation for parallel power converter systems

This paper proposes a new approach to the control of a power network with parallel power converters. A decentralized linear quadratic Gaussian (LQG) control approach based on local models without full knowledge of the overall network is proposed. Through integrating a virtual disturbance source model the local LQG controllers can individually learn online information about the dynamics of the others. By using this information for adaptation of its local set-point the decentralized controllers could drive the system to a stable operating point and eliminate the disturbance in a cooperative way. The load is also properly shared between the power converters. This control logic could be applied to the coordination of a set of power electronics systems managing the interface of distributed power sources. The presented approach could be regarded as a first step towards the development of a “plug-in” or ad-hoc power generation concept. In this concept the generation units feed power into the network via power converter interfaces without any centralized control while nevertheless guaranteeing the network´s stability and performance.