Implementation and testing of photovoltaic power plant control in a scaled platform

Abstract

Grid code requirements have become more demanding with the increasing penetration of renewable power plants, as they are starting to be used for ensuring grid support. As a result, the power plant control (PPC) of photovoltaic (PV) plants is a critical issue for ensuring the stability of these plants and their appropriate grid integration. This Master’s thesis focuses on the implementation of a PPC algorithm for an hybrid battery-PV power plant, including active power ramp rate limitation and battery state of charge control. This algorithm is first tested in a simulation software using a dynamic plant model, and then on a scaled microgrid emulation platform that emulates the behaviour of a PV plant.