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基于小扰动频率量测数据的电网节点惯量分布评估方法
作者:
作者单位:

1.输变电新技术教育部工程研究中心(湖南大学),湖南省长沙市 410082;2.云南电网有限责任公司电力调度控制中心,云南省昆明市 650011;3.国网湖南省电力有限公司经济技术研究院,湖南省长沙市 410004

摘要:

惯量在电力系统抵抗扰动中起到关键作用。随着新能源渗透率的提升,电力系统中低惯量与惯量时空分布不均的特征日益凸显,准确评估电网节点惯量分布具有重要意义。为此,文中提出一种基于小扰动频率量测数据的节点惯量分布评估方法。首先,分析了频率与惯量的数学耦合机理,揭示了新型电力系统惯量分布特征。然后,根据单次小扰动下的频率量测数据与系统电源参数,分别提出了考虑各节点频率相较于系统中心频率变化水平偏差的节点等效惯量定义方法,以及基于自适应阶数多项式拟合的节点频率变化率计算方法,两层方法相结合即可计算出单次小扰动下的节点等效惯量。进一步,鉴于单次小扰动下求出的节点等效惯量具有一定的随机误差,提出考虑多次扰动事件评估结果的动态聚合策略,形成适用于新型电力系统的节点等效惯量分布评估方法。最后,分别以IEEE 39节点系统、中国某省级电网为例验证了所提方法的有效性。结果表明,所提方法所需数据量少,仅需各节点同步相量测量单元采集的频率量测数据即可实现对电网惯量分布的有效评估,评估结果准确性高且时效性强。

关键词:

基金项目:

湖南创新型省份建设科技重大专项项目(2020GK1011);国家自然科学基金资助项目(52207093);中国博士后科学基金资助项目(2021TQ0100,2022M721083)。

通信作者:

作者简介:

李勇(1982—),男,博士,教授,博士生导师,主要研究方向:能源电力系统优化运行与控制、电能变换系统与装备。E-mail:yongli@hnu.edu.cn
常樊睿(1999—),男,硕士研究生,主要研究方向:新能源并网稳定性分析与控制。E-mail:changfanrui@hnu.edu.cn
彭衍建(1988—),男,通信作者,博士,副研究员,主要研究方向:新能源并网稳定性分析与控制。E-mail:yjpeng@hnu.edu.cn


Evaluation Method for Node Inertia Distribution of Power Grids Based on Small Disturbance Frequency Measurement Data
Author:
Affiliation:

1.Engineering Research Center of Ministry of Education for Power Transmission and Transformation New Technology;(Hunan University), Changsha 410082, China;2.Power Dispatching and Control Center of Yunnan Power Grid Co., Ltd., Kunming 650011, China;3.Economic and Technological Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China

Abstract:

Inertia plays a key role in the resistance of power system to disturbances. With the increase of renewable energy penetration, the characteristics of low inertia and uneven spatial and temporal distribution of inertia in the power system are becoming more and more prominent, and it is of great significance to accurately evaluate the node inertia distribution in the power grid. To this end, this paper proposes an evaluation method for node inertia distribution based on small disturbance frequency measurement data. First, the mathematical coupling mechanism between frequency and inertia is analyzed, and the inertia distribution characteristics of the new power system are revealed. Then, based on the frequency measurement data and system power supply parameters under a single small disturbance, a node equivalent inertia definition method considering the horizontal deviation of each node frequency compared to the change of the center frequency of the system, and a calculation method for the rate of change of the frequency of each node based on adaptive-order polynomial fitting are proposed, respectively. The node equivalent inertia can be calculated by combining the two methods under a single small disturbance. Further, in view of the fact that the node equivalent inertia calculated under a single small disturbance has a certain random error, a dynamic aggregation strategy that takes into account the evaluation results of multiple disturbance events is proposed, and an evaluation method for node equivalent inertia distribution applicable to the new power system is formed. Finally, the effectiveness of the proposed method is verified by taking the IEEE 39-bus system and a certain provincial power grid in China as cases. The results show that the proposed method requires a small amount of data, and only the frequency measurement data collected by the synchrophasor measurement unit at each node is needed to realize the effective evaluation of grid inertia distribution, and the evaluation results have high accuracy and strong timeliness.

Keywords:

Foundation:
This work is supported by Key Science and Technology Special Projects of Hunan Innovation Province (No. 2020GK1011), National Natural Science Foundation of China (No. 52207093) and China Postdoctoral Science Foundation (No. 2021TQ0100, No. 2022M721083).
引用本文
[1]李勇,常樊睿,彭衍建,等.基于小扰动频率量测数据的电网节点惯量分布评估方法[J].电力系统自动化,2024,48(13):50-59. DOI:10.7500/AEPS20230814004.
LI Yong, CHANG Fanrui, PENG Yanjian, et al. Evaluation Method for Node Inertia Distribution of Power Grids Based on Small Disturbance Frequency Measurement Data[J]. Automation of Electric Power Systems, 2024, 48(13):50-59. DOI:10.7500/AEPS20230814004.
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  • 收稿日期:2023-08-14
  • 最后修改日期:2023-11-14
  • 录用日期:2023-11-16
  • 在线发布日期: 2024-07-02
  • 出版日期: