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东南大学电气工程学院,江苏省南京市 210018
Received:22 April 2025,
Revised:2025-06-20,
Online First:05 August 2025,
Published:25 January 2026
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刘雷,王广华,梅军等.计及功率振荡的新能源电力系统节点惯量薄弱区域补偿方法[J].电力系统自动化,2026,50(2):156-164.
LIU Lei,WANG Guanghua,MEI Jun,et al.Compensation Method for Weak-inertia Areas of Bus in Power System with Renewable Energy Considering Power Oscillations[J].Automation of Electric Power Systems,2026,50(2):156-164.
刘雷,王广华,梅军等.计及功率振荡的新能源电力系统节点惯量薄弱区域补偿方法[J].电力系统自动化,2026,50(2):156-164. DOI: 10.7500/AEPS20250422005.
LIU Lei,WANG Guanghua,MEI Jun,et al.Compensation Method for Weak-inertia Areas of Bus in Power System with Renewable Energy Considering Power Oscillations[J].Automation of Electric Power Systems,2026,50(2):156-164. DOI: 10.7500/AEPS20250422005.
新能源渗透率的提升加剧了电力系统惯量空间分布的差异,易导致节点频率变化率及最大频差过大等稳定性问题。为此,提出一种计及功率振荡的新能源电力系统节点等效惯量计算及补偿方法。首先,分析新能源电力系统中有效惯量来源,阐明频率时空动态过程中能量交互特点;其次,考虑机组间功率振荡微增量因素,建立分布式节点等效惯量解析模型。在此基础上,提出节点关联度计算方法,利用层次分析法构建节点差异度矩阵,根据节点之间的差异性特征实现集群划分。然后,通过对比权重系数之和,精确定位节点等效惯量薄弱区域最优补偿节点,并确定最低补偿惯量,实现系统规划层面的区域惯量的最优补偿。最后,在改进的IEEE 10机39节点系统中进行仿真验证,仿真结果证明了所提方法的正确性和有效性。
The increase in the penetration rate of renewable energy has exacerbated the differences in the spatial distribution of inertia in the power system
and easily leads to the stability issues such as excessive node frequency change rate and maximum frequency difference. Therefore
a method for calculating and compensating the equivalent inertia of nodes in power system with renewable energy
taking into account power oscillations
is proposed. Firstly
the effective inertia source in the power system with renewable energy is analyzed
and the energy interaction characteristics in the frequency spatio-temporal dynamic process are elucidated. Secondly
considering the low increment in power oscillation between units
a distributed node equivalent inertia analytical model is established. On this basis
a method for calculating node correlation degree has been proposed
which utilizes the analytic hierarchy process method to construct a node dissimilarity matrix and implements cluster partitioning based on the differential characteristics between nodes. Then
by comparing the sum of weight coefficients
the optimal compensation node for the weak area of equivalent inertia of the node is accurately located
and the lowest compensation inertia is determined to achieve the optimal compensation of regional inertia at the system planning level. Finally
simulation verification is conducted on the modified IEEE 10-machine 39-bus system
and the simulation results verify the correctness and effectiveness of the proposed method.
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