引用本文:陈可欣,辛焕海,高晖胜,胡光,倪秋龙,曹建伟.计及多模态分量的新能源电力系统节点频率分析方法[J].电力自动化设备,2023,43(10):136-144
CHEN Kexin,XIN Huanhai,GAO Huisheng,HU Guang,NI Qiulong,CAO Jianwei.Nodal frequency analysis method for renewable energy power system considering multimodal components[J].Electric Power Automation Equipment,2023,43(10):136-144
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计及多模态分量的新能源电力系统节点频率分析方法
陈可欣1, 辛焕海1, 高晖胜1, 胡光1, 倪秋龙2, 曹建伟3
1.浙江大学 电气工程学院,浙江 杭州 310027;2.国网浙江省电力有限公司,浙江 杭州 310007;3.国网浙江省电力有限公司 湖州供电公司,浙江 湖州 313000
摘要:
“双碳”背景下,大规模新能源接入电力系统,频率响应空间分布差异扩大,此时各节点频率响应中的非全局分量可能主导频率稳定问题,而对于此类问题的研究目前尚不充分。为此,基于频率响应模态分解思路,提出新能源电力系统节点频率响应量化分析方法。首先,用惯量-阻尼-调频系统统一结构近似各类型设备频率-有功传递函数。然后,基于二次特征值分析方法将各节点频率响应进行分解,获得共模频率与若干差模频率的表达式。进一步地,解析了各频率分量的最大偏移量、变化率等关键特征量,并类比总惯量与全局频率变化率间的对应关系,针对各节点各模态频率分量定义了节点模态惯量指标。所提频率分解方法与指标直观地展示了电力系统中各差模频率的节点分布差异。最后,仿真验证了所提频率分解方法和指标的有效性。
关键词:  电力系统  差模频率  频率空间分布  二次特征值  节点模态惯量指标
DOI:10.16081/j.epae.202309003
分类号:TM711
基金项目:国家电网有限公司科技项目(5108?202218280A?2?437?XG)
Nodal frequency analysis method for renewable energy power system considering multimodal components
CHEN Kexin1, XIN Huanhai1, GAO Huisheng1, HU Guang1, NI Qiulong2, CAO Jianwei3
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007, China;3.Huzhou Power Supply Company, State Grid Zhejiang Electric Power Co.,Ltd.,Huzhou 313000, China
Abstract:
Under the background of “dual-carbon”,large-scale renewable energy is connected to the power system, and the spatial distribution difference of frequency response is expanded. At this time, the non-global component in the frequency response of each node may dominate the frequency stability problem, and such problems are not fully studied at present. Therefore, based on the idea of frequency response mode decomposition, the quantitative analysis method of node frequency response of renewable energy power system is proposed. Firstly, the frequency-active power transfer function of various types of equipment is approximated by the unified structure of inertia-damping-frequency modulation system. Then, based on the quadratic eigenvalue analysis method, the frequency response of each node is decomposed to obtain the expressions of common mode frequency and several differential mode frequencies. Furthermore, the key characteristic quantities such as the maximum offset, the change rate of each frequency component and so on are analyzed. By analogy with the corresponding relationship between the total inertia and the global frequency change rate, the node modal inertia index is defined for each modal frequency component of each node. The proposed frequency decomposition method and index intuitively demonstrate the node distribution difference of each differential mode frequency in the power system. Finally, the effectiveness of the proposed frequency decomposition method and index is verified by simulation.
Key words:  electric power systems  differential mode frequency  frequency spatial distribution  secondary eigenvalue  node modal inertia index

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