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    基于模型预测控制的火电-混合储能系统一次调频控制策略

    Primary Frequency Regulation Control Strategy for Thermal Power-Hybrid Energy Storage Combined System Based on Model Predictive Control

    • 摘要: 为改善含高比例新能源下新型电网的频率特性,提出了一种混合储能辅助火电机组参与一次调频的控制策略。首先,构建了计及能量型储能容量衰退的火电-混合储能一次调频模型,根据电网频率特性对混合储能模型的调频死区进行了设计,并提出了局部惯性补偿控制策略。在此基础上,基于负荷扰动和系统状态变量的预测进行了火电-混合储能系统一次调频的模型预测控制,对燃煤机组与各储能系统的出力调节参数进行了滚动优化。仿真结果表明:所提控制策略能有效减小系统动态频率偏差和稳态频率偏差,减少机组出力调整次数和锂电池的充放电深度,提升电网频率质量。相比于传统下垂控制,在阶跃扰动下的动态最大频率偏差和稳态频率偏差幅值分别减小6.8%和5.8%,连续扰动和长时间扰动下的频率偏差均方根分别减小了8.2%和7.2%,频率越限时间百分比分别减小了10.5%和16.1%。

       

      Abstract: A control strategy for hybrid energy storage-assisted thermal power units participating in primary frequency regulation was proposed to improve the frequency characteristics of a new power grid with a high proportion of new energy. Firstly, a primary frequency regulation model for thermal power-hybrid energy storage combined system considering the capacity degradation of energy-type energy storage was constructed. The frequency regulation dead zone of hybrid energy storage model was designed according to the frequency characteristics of power grid, and a local inertia compensation control strategy was proposed. On this basis, the model predictive control for primary frequency regulation of thermal power-hybrid energy storage combined system was implemented based on the prediction of load disturbances and system state variables, and rolling optimization was performed on the output regulation parameters of coal-fired units and various energy storage systems. Simulation results show that the proposed control strategy can effectively reduce the dynamic and steady-state frequency deviations of the system, decrease the output adjustment frequency of units and the charge-discharge depth of lithium batteries, and improve the power grid frequency quality. Compared with the traditional droop control, the amplitudes of the maximum dynamic frequency deviation and steady-state frequency deviation under step disturbance are reduced by 6.8% and 5.8% respectively, the root-mean-square frequency deviations under continuous disturbance and long-term disturbance are reduced by 8.2% and 7.2% respectively, and the percentages of frequency out-of-limit time are reduced by 10.5% and 16.1% respectively.

       

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