Semi-dispatchable generation with wind-photovoltaic-fuel cell hybrid system to mitigate frequency disturbance
Por:
Alvarez-Mendoza, Fernanda, Angeles-Camacho, Cesar, Bacher, Peder, Madsen, Henrik
Publicada:
1 dic 2018
Resumen:
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.
Filiaciones:
Alvarez-Mendoza, Fernanda:
Instituto de Ingeniería UNAM, Universidad Nacional Autónoma de México, Mexico
Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City, DF, Mexico
Angeles-Camacho, Cesar:
Univ Nacl Autonoma Mexico, Inst Ingn, Mexico City, DF, Mexico
Instituto de Ingeniería UNAM, Universidad Nacional Autónoma de México, Mexico
Bacher, Peder:
DTU Compute, Technical University of Denmark, Denmark
Tech Univ Denmark, DTU Compute, Lyngby, Denmark
Madsen, Henrik:
DTU Compute, Technical University of Denmark, Denmark
Tech Univ Denmark, DTU Compute, Lyngby, Denmark
|