考虑最大馈损变化的频率服务优化调度
Optimal Scheduling of Frequency Services Considering a Variable Largest-Power-Infeed-Loss
摘要：
由于可再生能源渗透率的增加而导致的低惯性水平带来了几个挑战，例如对初级频率响应（PFR）的更高需求。缓解这一问题的潜在解决方案包括减少电网中最大可能的功率损耗。本文开发了一种新的建模框架，分析这种方法的好处。提出了一种新的频率约束随机机组组合（SUC），它允许动态地减少优化问题中的最大可能的损失。此外，负载阻尼的影响包括通过一个近似，而它的效果通常被忽略，在以前的频率保证UC的研究。通过几个案例研究，我们证明，减少最大的损失可以显着降低运营成本和碳排放量在未来的英国的电网。
英文摘要：
Low levels of inertia due to increasing renewable penetration bring several challenges, such as the higher need for Primary Frequency Response (PFR). A potential solution to mitigate this problem consists on reducing the largest possible power loss in the grid. This paper develops a novel modelling framework to analyse the benefits of such approach. A new frequency-constrained Stochastic Unit Commitment (SUC) is proposed here, which allows to dynamically reduce the largest possible loss in the optimisation problem. Furthermore, the effect of load damping is included by means of an approximation, while its effect is typically neglected in previous frequency-secured-UC studies. Through several case studies, we demonstrate that reducing the largest loss could significantly decrease operational cost and carbon emissions in the future Great Britain's grid.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
