Semi-dispatchable generation with wind-photovoltaic-fuel cell hybrid system to mitigate frequency disturbance

Variability of large-scale wind and solar energies as power sources creates a disadvantage and a challenge for frequency control in distribution networks. In this work, an Advanced Energy Management System (AEMS) for a hybrid generation system is proposed. The AEMS is based on tracking the load curve or final user's required power to be supplied by a model predictive control design. The aim of the presented method is to propose an energy management system for massive integration of hybrid systems as distributed generation without influencing the network frequency. The main advantage of the proposed approach is to overcome the influence of frequency instability, using forecast and predictive control. The designed method uses probabilistic information for short-term wind and photovoltaic power generation as an input of the management system; hence the outcome of the hybrid system is the power demanded by the store. A case study displaying the performance of the AEMS developed is presented. Historical data of wind speeds, solar radiation and load profiles are used to control the output power generated by a hybrid system. The proposed energy management approach provides the liberty to manipulate the output power of the hybrid system considering the system boundaries without disturbing the network frequency.