DocumentCode
3679215
Title
Intelligent photovoltaic power plants management strategy for market participation
Author
Andoni Saez-de-Ibarra;Aitor Milo;Haizea Gaztañaga;Victor Isaac Herrera;Ion Etxeberria-Otadui;Asun Padrós
Author_Institution
IK4 - IKERLAN Technology Research Centre, 20500 Arrasate-Mondragon, Gipuzkoa, Spain
fYear
2015
Firstpage
35
Lastpage
42
Abstract
Energy storage systems integration with large-scale PV power plants, named Intelligent PV power plant (IPV), could contribute to improve 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 storage system, but also on the manner how 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 developed. 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 energy storage system from 2012 to 2013 in the framework of a European project.
Keywords
"Power generation","Generators","Energy storage","Electricity supply industry","Economics","Production","Europe"
Publisher
ieee
Conference_Titel
Energy Conversion Congress and Exposition (ECCE), 2015 IEEE
ISSN
2329-3721
Electronic_ISBN
2329-3748
Type
conf
DOI
10.1109/ECCE.2015.7309666
Filename
7309666
Link To Document