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Towards Optimal System Scheduling With Synthetic Inertia Provision From Wind Turbines

机译:朝着风力涡轮机的合成惯性提供的最佳系统调度

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The undergoing transition from conventional to converter-interfaced renewable generation leads to significant challenges in maintaining frequency stability due to declining system inertia. In this paper, a novel control framework for Synthetic Inertia (SI) provision from Wind Turbines (WTs) is proposed, which eliminates the secondary frequency dip and allows the dynamics of SI from WTs to be analytically integrated into the system frequency dynamics. Furthermore, analytical system frequency constraints with SI provision from WTs are developed and incorporated into a stochastic system scheduling model, which enables the provision of SI from WTs to be dynamically optimized on a system level. Several case studies are carried out on a Great Britain 2030 power system with different penetration levels of wind generation and inclusion of frequency response requirements in order to assess the performance of the proposed model and analyze the influence of the improved SI control scheme on the potential secondary frequency dip. The results demonstrate that the inclusion of SI provision from WTs into Unit Commitment (UC) can drastically impact the overall system costs.
机译:从传统到转化器接口的可再生生成的经历过渡导致由于系统惯性下降而保持频率稳定性的显着挑战。本文提出了一种新的用于风力涡轮机(WTS)的合成惯性(SI)的新型控制框架,其消除了二次频率倾度,并允许SI的动态从WTS分析集成到系统频率动态中。此外,从WTS的Si提供的分析系统频率约束并结合到随机系统调度模型中,这使得能够在系统级别提供来自WT的SI。几种案例研究是在英国2030电力系统上进行的,具有不同的渗透水平的风力产生和包含频率响应要求,以评估所提出的模型的性能,并分析改进的SI控制方案对潜在次级的影响频率浸渍。结果表明,将SI提供从WTS进入单位承诺(UC)可以大大影响整体系统成本。

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