DYNAMIC REACTIVE POWER DEMAND ASSESSMENT IN WEAK AREA OF POWER GRID CONSIDERING LARGE-SCALE WIND POWER INTEGRATION

Dai Jianfeng, Wang Zibo, Xie Changchang, Tang Yi

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (9) : 60-69.

PDF(1823 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(1823 KB)
Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (9) : 60-69. DOI: 10.19912/j.0254-0096.tynxb.2023-0534

DYNAMIC REACTIVE POWER DEMAND ASSESSMENT IN WEAK AREA OF POWER GRID CONSIDERING LARGE-SCALE WIND POWER INTEGRATION

  • Dai Jianfeng1,2, Wang Zibo1,2, Xie Changchang3, Tang Yi3
Author information +
History +

Abstract

A dynamic reactive power demand assessment method considering large-scale wind power access is proposed in this paper. Firstly, the random matrix theory is applied to identify weak voltage nodes and areas in power system where the large-scale wind farm cluster is integrated. If the area where the wind farm cluster is integrated is the weak voltage area, the wind farm cluster enters the pre-decision link of emergency voltage control. Secondly, the calculation model of transient voltage stability index in weak areas is established based on BP neural network, and a sensitivity based dynamic reactive power demand assessment method was proposed. Finally, the effectiveness of the proposed method is verified on the IEEE 10 machine 39 bus system connected to the wind farm group.

Key words

wind power / reactive power / voltage control / neural networks / random matrix theory / voltage weak area identification

Cite this article

Download Citations
Dai Jianfeng, Wang Zibo, Xie Changchang, Tang Yi. DYNAMIC REACTIVE POWER DEMAND ASSESSMENT IN WEAK AREA OF POWER GRID CONSIDERING LARGE-SCALE WIND POWER INTEGRATION[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 60-69 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0534

References

[1] 田颢璟, 孙大卫, 刘辉, 等. 短路故障清除时刻直驱风电机组机端暂态过电压研究[J]. 太阳能学报, 2023, 44(1): 247-256.
TIAN H J, SUN D W, LIU H, et al.Research on transient overvoltage of PMSG terminal at fault clearing time[J]. Acta energiae solaris sinica, 2023, 44(1): 247-256.
[2] 许进, 秦文萍, 宋述勇, 等. 系统薄弱点电压分布特性分析及识别方法[J]. 中国电机工程学报, 2018, 38(1):158-167, 352.
XU J, QIN W P, SONG S Y, et al.Analysis and identification method of power system weak bus based on bus voltage distribution characteristic[J]. Proceedings of the CSEE, 2018, 38(1): 158-167, 352.
[3] 王波, 王佳丽, 刘涤尘, 等. 基于高维随机矩阵理论的电网薄弱点评估方法[J]. 中国电机工程学报, 2019, 39(6): 1682-1691, 1864.
WANG B, WANG J L, LIU D C, et al.Research on evaluating vulnerability of power network based on high-dimensional random matrix theory[J]. Proceedings of the CSEE, 2019, 39(6): 1682-1691, 1864.
[4] 徐敬友, 陈冲, 罗纯坚, 等. 基于改进复杂网络模型的电网关键环节辨识[J]. 电力系统自动化, 2016, 40(10): 53-61.
XU J Y, CHEN C, LUO C J, et al.Identification of power grid key parts based on improved complex network model[J]. Automation of electric power systems, 2016, 40(10):53-61.
[5] BOMPARD E, NAPOLI R, XUE F.Extended topological approach for the assessment of structural vulnerability in transmission networks[J]. IET generation, transmission and distribution, 2010, 4(6): 716-724.
[6] 王涛, 岳贤龙, 顾雪平, 等. 基于犹豫模糊决策法的电网脆弱性综合评估[J]. 电网技术, 2017, 41(7): 2272-2281.
WANG T, YUE X L, GU X P, et al.Comprehensive evaluation of power grid vulnerability based on hesitant fuzzy decision making method[J]. Power system technology, 2017, 41(7): 2272-2281.
[7] 张忠会, 胡一波, 朱文涛. 模态分析技术在系统薄弱环节分析中的应用[J]. 电力系统保护与控制, 2014, 42(15):58-64.
ZHANG Z H, HU Y B, ZHU W T.Modal analysis technology in the application of the weak parts of systems[J]. Power system protection and control, 2014, 42(15):58-64.
[8] 李勇, 刘俊勇, 刘晓宇, 等. 基于潮流熵的电网连锁故障传播元件的脆弱性评估[J]. 电力系统自动化, 2012, 36(19):11-16.
LI Y, LIU J Y, LIU X Y, et al.Vulnerability assessment in power grid cascading failures based on entropy of power flow[J]. Automation of electric power systems, 2012, 36(19): 11-16.
[9] 潘学萍, 李乐, 黄华, 等. 综合灵敏度和静态电压稳定裕度的直流受端交流系统电压薄弱区域评估方法[J]. 电力自动化设备, 2019, 39(3): 1-8.
PAN X P, LI L, HUANG H, et al.Method for evaluating voltage weak area of AC power system at DC receiving end considering sensitivity and static voltage stability margin[J]. Electric power automation equipment, 2019, 39(3):1-8.
[10] HE X, AI Q, QIU R C, et al.A big data architecture design for smart grids based on random matrix theory[J]. IEEE transactions on smart grid, 2017, 8(2): 674-686.
[11] 吴茜, 张东霞, 刘道伟, 等. 基于随机矩阵理论的电网静态稳定态势评估方法[J]. 中国电机工程学报, 2016, 36(20): 5414-5420, 5717.
WU Q, ZHANG D X, LIU D W, et al.A method for power system steady stability situation assessment based on random matrix theory[J]. Proceedings of the CSEE, 2016, 36(20): 5414-5420, 5717.
[12] ZHU D L, WANG B, MA H R, et al.Evaluating the vulnerability of integrated electricity-heat-gas systems based on the high-dimensional random matrix theory[J]. CSEE journal of power and energy systems, 2020, 6(4):878-889.
[13] ANGHEL M, MILANO F, PAPACHRISTODOULOU A.Algorithmic construction of Lyapunov functions for power system stability analysis[J]. IEEE transactions on circuits and systems I: regular papers, 2013, 60(9): 2533-2546.
[14] POTA H R, MOYLAN P J.A new Lyapunov function for interconnected power systems[C]//Proceedings of the 28th IEEE Conference on Decision and Control. Tampa, FL, USA, 1989: 2181-2185.
[15] 陈湘, 刘兵, 任大江, 等. 交直流混联系统直流功率转移对交流电压的影响[J]. 电网技术, 2016, 40(7): 1957-1961.
CHEN X, LIU B, REN D J, et al.Study on influence of DC power transfer on AC voltages in hybrid AC/DC system[J]. Power system technology, 2016, 40(7): 1957-1961.
[16] 汤涌. 交直流电力系统多时间尺度全过程仿真和建模研究新进展[J]. 电网技术, 2009, 33(16): 1-8.
TANG Y.New progress in research on multi-time scale unified simulation and modeling for AC/DC power systems[J]. Power system technology, 2009, 33(16): 1-8.
[17] 刘俊磊, 钱峰, 伍双喜, 等. 基于支持向量回归的直流受端电网动态无功需求在线评估[J]. 电力系统保护与控制, 2019, 47(13): 37-45.
LIU J L, QIAN F, WU S X, et al.Online evaluation of dynamic reactive power demand of DC receiving power grid based on SVR[J]. Power system protection and control, 2019, 47(13): 37-45.
[18] 刘威, 张东霞, 丁玉成, 等. 基于随机矩阵理论与熵理论的电网薄弱环节辨识方法[J]. 中国电机工程学报, 2017, 37(20): 5893-5901.
LIU W, ZHANG D X, DING Y C, et al.Power grid vulnerability identification methods based on random matrix theory and entropy theory[J]. Proceedings of the CSEE, 2017, 37(20): 5893-5901.
[19] 薛安成, 周健, 刘瑞煌, 等. 采用多二元表判据的实用暂态电压稳定裕度指标研究[J]. 中国电机工程学报, 2018, 38(14): 4117-4125, 4317.
XUE A C, ZHOU J, LIU R H, et al.A new practical transient voltage stability margin index based on multiple-two-element notation criterion[J]. Proceedings of the CSEE, 2018, 38(14): 4117-4125, 4317.
[20] 侯建兰, 刘育权, 谢小荣, 等. 一种量化评估暂态电压稳定性的指标与方法[J]. 电力自动化设备, 2015, 35(10): 151-156.
HOU J L, LIU Y Q, XIE X R, et al.Quantitative assessment index and method of transient voltage stability[J]. Electric power automation equipment, 2015, 35(10):151-156.
[21] 芮宏斌, 曹伟, 孙宁宁. 基于BP神经网络的光伏阵列清洁机械臂逆运动学分析与时间最短运动规划[J]. 太阳能学报, 2022, 43(10): 43-51.
RUI H B, CAO W, SUN N N.Inverse kinematics analysis and time optimal motion planning of photovoltaic array cleaning manipulator based on BP neural network[J]. Acta energiae solaris sinica, 2022, 43(10): 43-51.
[22] 戴剑丰. 适应弱惯性大电网的风电场频率响应技术研究[D]. 南京: 东南大学, 2019.
DAI J F.Research on frequency response technology of wind farm for adapting to large power grid with weak inertial[D]. Nanjing: Southeast University, 2019.
PDF(1823 KB)

Accesses

Citation

Detail

Sections
Recommended

/