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Identification of Output-Error Models and an Iterative Optimization Algorithm to Size Fast Ancillary Services for Grid Frequency Control ?

机译：识别输出误差模型和迭代优化算法对电网频率控制的大小快速辅助服务 ？ < / ce：cross-ref>

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The increasing displacement of conventional with renewable power generation, typically non-programmable and endowed with very small or even no rotating inertia, is being accompanied by an increase of the amplitude and speed of grid frequency fluctuations. New control actions are therefore being introduced by grid operators, in the form of fast ancillary services for frequency regulation. An iterative procedure, based on the Gauss-Newton approach, is proposed here to compute the needed quantities of two fast innovative controls, namely fast primary frequency control and synthetic inertia support. In particular, by means of the identification of an output-error model, non-linear behaviours are effectively considered in the computation: dead bands on the frequency measures feeding the controllers; for renewable power plants, downward modulation schemes; for conventional ones, limits on the available control power and limitations on the maximum gradient (time derivative) of the power. The approach is tested by means of simulations in a 2030 predicted scenario for the Sardinian power system.
机译：传统的常规流离失所与可再生能源的越来越多，通常是不可编程的并且赋予非常小或甚至没有旋转惯性，伴随着电网频率波动的幅度和速度的增加。因此，电网运营商以快速辅助服务的形式引入新的控制行动。在此基于高斯 - 牛顿方法的迭代程序，提出了两个快速创新控制所需的量，即快速频率控制和合成惯性支持。特别地，通过识别输出误差模型，在计算中有效地考虑非线性行为：频率测量的终点频段馈送控制器;适用于可再生电厂，向下调制方案;对于传统的，对可用控制功率的限制和功率最大梯度（时间衍生）的限制。该方法是通过用于撒丁岛电力系统的2030个预测场景中的模拟测试的方法。

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