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Intelligent photovoltaic power plants management strategy for market participation

机译:市场参与的智能光伏电站管理策略

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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.
机译:储能系统与名为智能光伏电站(IPV)的大型光伏电站的集成可以有助于提高这些电站的生存能力,并为主电网提供辅助服务。提供的服务的数量和扩展范围不仅取决于存储系统的大小,还取决于如何管理此存储系统。本文提出了基于IPV电厂不同控制策略的市场参与,以基于考虑光伏发电预测的储能系统管理来优化经济利用。选择最合适的紧缩控制策略来参与日常市场,并通过在线模型预测控制(MPC)来加强其功能,以补偿参与当日市场的PV预测误差。伊比利亚半岛市场一体化的实际运作也得到了解释和发展。该管理策略的发展以案例研究为基础,位于图德拉(西班牙纳瓦拉)的一家真正IPV工厂,由AccionaEnergía拥有,其中包括一个欧洲项目框架下的2012年至2013年基于锂离子的储能系统。

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