Temporal and Spatial Characteristics of Power System Inertia and Its Analysis Method

被引:0
|
作者
Zeng F. [1 ]
Zhang J. [1 ]
机构
[1] School of Electric Power, South China University of Technology, Guangzhou, 510641, Guangdong Province
基金
中国国家自然科学基金;
关键词
Inertia support; Node frequency; Node inertia; Power system inertia; Temporal and spatial characteristics;
D O I
10.13334/j.0258-8013.pcsee.190084
中图分类号
学科分类号
摘要
With the increasing of wind power and photovoltaic penetrations, the power system inertia has changed in characteristics and forms. Traditional power system inertia researches mainly focused on the system or regional level analysis and few mentioned the inertia of each system node, therefore, it is difficult to analysis the temporal and spatial characteristics of power system inertia and more valuable details are hardly provided for the system safety and stability analysis. To cope with this problem, the physical attributes of inertia in power systems, and then proposed the concept of node inertia and its physical interpretation/ representation were illustrated. After that, based on the dynamic characteristics of node frequencies under large and small disturbances, methods for the temporal and spatial characteristics of power system inertia analysis were proposed, followed by a visualization method which provides real-time monitoring of power system inertia distribution. Simulations were carried out in the 10-machine 39-bus system, and results validate the proposed method. © 2020 Chin. Soc. for Elec. Eng.
引用
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页码:50 / 58
页数:8
相关论文
共 26 条
  • [1] Huang L., Xin H., Huang W., Et al., Quantified analysis method of frequency response characteristics for power systems with virtual inertia, Automation of Electric Power Systems, 42, 8, pp. 31-38, (2018)
  • [2] Eftekharnejad S., Vittal V., Heydt G.T., Et al., Impact of increased penetration of photovoltaic generation on power systems, IEEE Transactions on Power Systems, 28, 2, pp. 893-901, (2013)
  • [3] Qin X., Su L., Chi Y., Et al., Functional orientation discrimination of inertia support and primary frequency regulation of virtual synchronous generator in large power grid, Automation of Electric Power Systems, 42, 9, pp. 36-43, (2018)
  • [4] Ulbig A., Borsche T.S., Andersson G., Impact of low rotational inertia on power system stability and operation, IFAC Proceedings Volumes, 47, 3, pp. 7290-7297, (2014)
  • [5] Li Y., Yang Y., Li Y., Et al., Coordinated control of wind farms and VSC-HVDC to improve inertia level of power system, Proceedings of the CSEE, 34, 34, pp. 6021-6031, (2014)
  • [6] Fu Y., Wang Y., Zhang X., Et al., Analysis and integrated control of inertia and primary frequency regulation for variable speed wind turbines, Proceedings of the CSEE, 34, 27, pp. 4706-4716, (2014)
  • [7] Ghafouri A., Milimonfared J., Gharehpetian G.B., Coordinated control of distributed energy resources and conventional power plants for frequency control of power systems, IEEE Transactions on Smart Grid, 6, 1, pp. 104-114, (2015)
  • [8] Ashton P.M., Saunders C.S., Taylor G.A., Et al., Inertia estimation of the GB power system using synchrophasor measurements, IEEE Transactions on Power Systems, 30, 2, pp. 701-709, (2015)
  • [9] Bian Y., Wyman-Pain H., Li F., Et al., Demand side contributions for system inertia in the GB power system, IEEE Transactions on Power Systems, 33, 4, pp. 3521-3530, (2018)
  • [10] Adrees A., Papadopoulos P.N., Milanovic J.V., A framework to assess the effect of reduction in inertia on system frequency response, 2016 IEEE Power and Energy Society General Meeting, (2016)