TY - JOUR
T1 - Management strategy for market participation of photovoltaic power plants including storage systems
AU - Saez-De-Ibarra, Andoni
AU - Herrera, Victor Isaac
AU - Milo, Aitor
AU - Gaztanaga, Haizea
AU - Etxeberria-Otadui, Ion
AU - Bacha, Seddik
AU - Padros, Asun
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Energy storage systems (ESS) integration with large-scale photovoltaic (PV) power plants, named intelligent PV (IPV) power plant, could contribute to improving the viability of these plants and to provide ancillary services to the main grid. The number and extension of the provided services depend not only on the size of the ESS, but also on the manner in which this storage system is managed. In this paper, the market participation based on different firming control strategies of an IPV power plant is proposed to optimize the economic exploitation based on the storage system management considering PV generation predictions. The most appropriate firming control strategy is selected to participate on the daily market, which is strengthened with an online model predictive control (MPC) to compensate the PV prediction errors participating in the intraday market. The real operation of the Iberian Peninsula market integration is also explained and analyzed. The development of this management strategy considers as a case study a real IPV plant located in Tudela (Navarre, Spain) and owned by Acciona Energía, which included a Lithium-ion based ESS from 2012 to 2013 in the framework of a European project. The results show that considering the MPC approach, an increase around 20% in the benefits is obtained by comparing with the daily market participation.
AB - Energy storage systems (ESS) integration with large-scale photovoltaic (PV) power plants, named intelligent PV (IPV) power plant, could contribute to improving the viability of these plants and to provide ancillary services to the main grid. The number and extension of the provided services depend not only on the size of the ESS, but also on the manner in which this storage system is managed. In this paper, the market participation based on different firming control strategies of an IPV power plant is proposed to optimize the economic exploitation based on the storage system management considering PV generation predictions. The most appropriate firming control strategy is selected to participate on the daily market, which is strengthened with an online model predictive control (MPC) to compensate the PV prediction errors participating in the intraday market. The real operation of the Iberian Peninsula market integration is also explained and analyzed. The development of this management strategy considers as a case study a real IPV plant located in Tudela (Navarre, Spain) and owned by Acciona Energía, which included a Lithium-ion based ESS from 2012 to 2013 in the framework of a European project. The results show that considering the MPC approach, an increase around 20% in the benefits is obtained by comparing with the daily market participation.
KW - Design methodology
KW - energy storage
KW - photovoltaic systems
KW - predictive control
KW - smoothing methods
UR - http://www.scopus.com/inward/record.url?scp=84988842045&partnerID=8YFLogxK
U2 - 10.1109/TIA.2016.2585090
DO - 10.1109/TIA.2016.2585090
M3 - Artículo
AN - SCOPUS:84988842045
SN - 0093-9994
VL - 52
SP - 4292
EP - 4303
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 5
M1 - 7500112
ER -