Influence of system inertia on flexibility resource analysis for an interconnection system with a high proportion of intermittent renewable energy

被引:0
|
作者
Jiang H. [1 ]
Yue C. [2 ]
Yan X. [1 ]
Hou J. [2 ]
Liu S. [2 ]
Zhao T. [1 ]
机构
[1] Global Energy Interconnection Development and Cooperation Organization (Global Energy Interconnection Group Co., Ltd.), Beijing
[2] ABB Power Grid Investment (China) Co., Ltd., Beijing
来源
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 18期
基金
中国国家自然科学基金;
关键词
Flexibility resource; Inertia; Interconnection system; Intermittent renewable energy;
D O I
10.19783/j.cnki.pspc.201381
中图分类号
学科分类号
摘要
There are now many intermittent renewable energy sources such as wind power and PV being connected to the power system. This occasions a problem of system frequency stability caused by system inertia reduction which becomes increasingly prominent, and it is necessary to consider the influence of system inertia in flexible resource allocation. For system flexibility analysis, this paper introduces the characteristics of net load after a high proportion of renewable energy is connected and offers a calculation method of system inertia based on system generator inertia and capacity. Then, a calculation method for the lowest inertia of the system is proposed based on the maximum frequency change rate and maximum power change. Finally, combining with the process of flexibility analysis, a method to examine the minimum inertia constraint in flexibility analysis is proposed. This method is applied in the process of flexible resource optimization. This can change the flexible resource allocation in the low inertia state of the system, improve the inertia and the frequency stability of the system, and realize the combination of system flexibility and frequency characteristics. © 2021 Power System Protection and Control Press.
引用
收藏
页码:44 / 51
页数:7
相关论文
共 25 条
  • [1] YUAN Wei, WANG Caixiao, YE Xiaoning, Comparative analysis of new energy development status and market trends at home and abroad
  • [2] BOSSAVY A, BOSSMANN T, FOURNIE L, Et al., Optimal flexibility portfolios for a high-RES 2050 scenario, (2018)
  • [3] CAPROS P, DE VITA A, PAROUSSOS L, Et al., EU reference scenario 2016 energy, transport and GHG emissions trends to 2050, (2016)
  • [4] SUN Yilin, Prospects for renewable energy generation in the US in 2020
  • [5] (2020)
  • [6] China 2050 High Proportion Renewable Energy Development Scenario and Route Research, (2015)
  • [7] LI Ting, XU Weiting, LIU Xianglong, Et al., Review on planning technology of AC/DC hybrid system with high proportion of renewable energy, Power System Protection and Control, 47, 12, pp. 177-187, (2019)
  • [8] SHI Yudong, LIU Jinyuan, XU Song, Et al., Integrated wind-photovoltaic-storage stochastic planning model considering time-varying characteristics in distribution network, Power System Protection and Control, 47, 10, pp. 24-32, (2019)
  • [9] WANG Bo, YANG Deyou, CAI Guowei, Review of research on power system inertia related issues in the context of high penetration of renewable power generation, Power System Technology, 44, 8, pp. 2998-3006, (2020)
  • [10] LU Zongxiang, LI Haibo, QIAO Ying, Power system flexibility planning and challenges considering high proportion of renewable energy, Automation of Electric Power Systems, 40, 13, pp. 147-157, (2016)