Robust implementation of algorithms for distributed generation control of small-footprint power systems
Stanton T. Cady · 2012
Together with advancements in communication and computer processing technologies, the widespread integration of distributed energy resources (DERs) in the form of renewable energy sources, e.g., wind and solar, will make avail-able new and valuable ancillary services to power systems such as voltage support and frequency regulation. Given the relative size of the resources, however, the provision of these services will require the coordination of sev-eral DERs such that their collective capabilities have sufficient impact on a system level. This thesis proposes a method for controlling distributed gener-ation resources (DGRs) without the need for a centralized decision maker. In particular, we discuss a class of iterative algorithms which are capable of coor-dinating a set of DGRs in order to collectively achieve a predetermined goal. We begin by formulating an unconstrained algorithm which we later extend to account for individual DGR capacity constraints. A convergence analysis of the algorithms is presented, followed by the discussion of a modification