The paper proposes an optimal management strategy for a system composed by a battery and a photovoltaic power plant. This integrated system is called to deliver the photovoltaic power and to simultaneously provide droop-based primary frequency regulation to the main grid. The battery state-of-energy is controlled by power offset signals, which are determined using photovoltaic energy generation forecasts and predictions of the energy required to operate frequency regulation. A two level control architecture is developed. A day-ahead planning algorithm schedules the energy profile which is traded at the day-ahead market and defines the primary control reserve that the integrated system is able to provide in the considered day. During the day operations, a second level algorithm corrects the dispatched plan using updated information, in order to guarantee a continuous and reliable service. Both control algorithms take into account the uncertainties of the photovoltaic generation and of the frequency dynamics using stochastic optimization.

中文翻译：

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提供频率调节功能的集成BESS-PV系统的日前和日内计划

本文提出了由电池和光伏电站组成的系统的最优管理策略。这种集成系统被称为输送光伏发电，同时向主电网提供基于下垂的一次频率调节。电池的能量状态由功率补偿信号控制，该信号使用光伏能量生成预测和对运行频率调节所需能量的预测来确定。开发了两级控制架构。提前计划算法会计划在提前市场上交易的能源配置文件，并定义集成系统在考虑的日期中能够提供的主要控制储备。在日常操作中，第二级算法使用更新后的信息来纠正已调度的计划，为了保证持续可靠的服务。两种控制算法都使用随机优化考虑了光伏发电的不确定性和频率动态的不确定性。