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识别最大频率变化率及其影响
Identifying the Largest RoCoF and Its Implications
| 作者 | Licheng Wang · Jun Ren · Gang Huang · Luochen Xie · Changsen Feng · Youbing Zhang |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2024年10月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 SiC器件 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 频率变化率 最优节点惯量调度 节点频率变化率模型 电力系统 惯量分布 |
语言:
中文摘要
频率变化率(RoCoF)是保障低惯量电力系统频率安全的关键指标。现有基于聚合频率模型的惯量优化调度方法难以反映故障后系统各区域频率动态的差异,尤其在惯量分布不均时,局部母线的RoCoF可能显著高于聚合模型预测值。本文基于扩展直流潮流方程及同步机扰动后转子角度瞬时不变特性,推导了节点级RoCoF模型,并严格证明最大初始RoCoF必出现在含惯量的母线上。该结论与所提模型共同构建了形式简洁且凸化的最优节点惯量调度方法,仿真验证了其在不同场景下两典型互联系统中的有效性。
English Abstract
The rate of change of frequency (RoCoF) is a critical factor in ensuring frequency security, particularly in power systems with low inertia. Currently, most RoCoF security constrained optimal inertia dispatch methods predominantly rely on aggregated frequency models which are tractable in optimization problems. These models, however, do not account for the disparities in post-contingency frequency dynamics across different regions of a power system. Specifically, regional buses can exhibit significantly larger RoCoFs than that predicted by an aggregated frequency model, particularly in systems characterized by unevenly distributed inertia. To bridge this gap, in this paper, the post-contingency nodal RoCoF model is first derived on the basis of augmented direct current power flow equations and the intrinsic nature that (virtual) synchronous generators will keep their rotor angles constant immediately after a disturbance. Then, the maximal initial RoCoF is mathematically proven to be at one of buses with inertia. This finding together with the nodal RoCoF model contribute to the establishment of the optimal nodal inertia dispatch method in a convex and concise form. The effectiveness of our finding and the proposed nodal inertia dispatch method are further verified by simulation results of two typical interconnected power systems under different scenarios.
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SunView 深度解读
该节点级RoCoF模型对阳光电源储能系统和构网型控制技术具有重要应用价值。在ST系列储能变流器和PowerTitan大型储能系统中,可基于该模型优化虚拟惯量的空间分布策略,避免传统聚合模型导致的局部母线RoCoF超限风险。该研究提出的凸优化惯量调度方法可直接集成到iSolarCloud云平台的能量管理系统中,实现多储能站点的协调控制。对于构网型GFM控制技术,该模型可指导虚拟同步机VSG参数的动态配置,在低惯量电网场景下精准提供频率支撑服务,提升电网适应性和系统安全裕度,为阳光电源参与电网辅助服务市场提供技术支撑。