基于模型预测控制的新型电力系统光储电站调频控制策略

光伏渗透率的不断提高降低了新型电力系统的转动惯量,给系统频率稳定性带来了新的挑战,储能出力灵活且迅速,将储能与光伏结合构成光储电站参与电网调频能够提高新型电力系统频率稳定性。光储电站参与系统调频的有功出力受到光照强度、储能荷电系数等多因素的影响,然而现有的与光储电站调频控制有关的研究大多对这些多约束的处理能力较差。在此背景下,提出一种基于模型预测控制的新型电力系统光储电站调频控制策略。该控制策略以最小化系统频率偏差与频率变化率之和为目标,计及光储电站有功出力及总发电量约束,优化光储电站有功出力,并通过控制光储电站有功输出参与系统频率调节。最后,通过仿真算例说明了所提方法相比传统控制策略调频效果更优,能够在考虑多约束的情况下快速精准确定光储电站出力,提高系统频率稳定性。

Frequency Regulation Control Strategy Based on Model Predictive Control for Combined PV and Energy Storage Power Station in New Power System

The continuous increasing of penetration rate of photovoltaic power reduces the rotational inertia of the new power system and brings new challenges to the frequency stability of the system. Therefore, it is imperative to combine photovoltaic power and energy storage to form a combined PV and energy storage power station to participate in the frequency regulation of the new power system. The active power output of the combined PV and energy storage power station participating in the frequency regulation of the system is not only affected by the randomness and volatility of the photovoltaic output, but also limited by various output constraints. The ability to handle multiple constraints is also poor. In this context, this paper proposes a new frequency regulation control strategy based on model predictive control for combined PV and energy storage power stations in power systems. The control strategy aims to minimize the sum of the system frequency deviation and the rate of change of frequency, and takes into account the constraints of the active power output and total power generation of the combined PV and energy storage power stations to obtain the optimal active power output of the combined PV and energy storage power stations, and participate in the system frequency regulation by controlling the active power output of the combined PV and energy storage power stations. Finally, simulation examples verify that, the proposed method has a better effect in frequency regulation than the traditional control strategy, which can quickly and accurately determine the output of the PV and energy storage power station under the condition of considering multiple constraints, and improve the frequency stability of the system.