This paper deals with the development of a simplified, control-oriented mathematical model of an offshore variable speed wind turbine with tension leg platform. First, the model is derived with the goal of describing the most relevant physical phenomena of the turbine/platform dynamics, while limiting its complexity. The unknown model parameters are identified and a model validation phase is carried out using Fatigue, Aerodynamics, Structures, and Turbulence (FAST), an accurate reference model available in the literature. Then, an H∞ controller is designed for above-rated power operating conditions. The ability of the controller to attenuate the effect of wind variations and waves is tested in simulation both on thebreak small-scale simulation model and on the FAST simulator
This paper presents a two-level control architecture for the intra-day energy management of a microgrid. The aim is to comply with an agreed energy exchange profile with the main grid, minimizing the operating cost. The higher level is entitled for the definition of the nominal profiles of the controllable devices, based on the forecasts of demand and production. The task of the lower level control is to reach the target energy exchange setpoint, correcting the scheduled setpoint of the controllable devices.While the high level optimization consists in the solution of a mixed integer linear programming problem, the low level controller has been implemented as a daisy chaining control scheme with a PI controller.This control architecture potentially helps to increase the reliability of the whole grid, by means of the aggregation of unpredictable energy resources and making their overall behaviour more predictable from the DSO point of view.
Abstract. This paper presents an algorithm for the management of electrical and thermal power production in microgrids connected to the utility grid and subject to uncertainties in both load requests and non-dispatchable generation. The suggested procedure allows, on one hand, to obtain the dayahead setpoint profiles for the microgrid devices, resulting in the economic optimal power exchange with the grid. On the other hand, it supplies a suitable method to refine such setpoint profiles, during the daily execution, in order to cope with unpredicted behaviours of the system. A formulation of the algorithm for a possible case study is given and simulation results are illustrated in the final part of the work.
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