Optimal Placement Method for Harmonic Resonance Monitoring Points Considering Uncertainties of System Parameters

被引:0
作者
Jiang H. [1 ]
Xu Y. [1 ]
He Z. [1 ]
Tao S. [1 ]
Chang X. [2 ]
Wang J. [2 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[2] Electric Power Research Institute of State Grid Shanxi Electric Power Co., Ltd., Taiyuan
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 23期
基金
中国国家自然科学基金;
关键词
Monte Carlo approach; Observability index; Optimal placement of monitoring points; Parallel harmonic resonance; Probabilistic resonance monitoring matrix; Resonance mode analysis; Trade-off factor; Uncertainty;
D O I
10.7500/AEPS20210407007
中图分类号
学科分类号
摘要
On the premise of considering uncertainties of the parameters of different types of components in the power system, an optimal placement method for the potential parallel harmonic resonance monitoring points in the power system is proposed. Firstly, based on the harmonic resonance mode analysis (HRMA), the concept of observability of parallel harmonic resonance is introduced. Then, according to the random model of different types of component parameters, the probabilistic resonance monitoring matrix is constructed by using HRMA approach and Monte Carlo approach. Furthermore, the resonance observability index and observability-cost trade-off factor are defined and quantified, and on this basis, an optimal placement method for harmonic resonance monitoring points is proposed. This method can enable the placement scheme to achieve the coordination and optimization between the observability of harmonic resonance and the economics of investment cost under the condition that the number of required monitoring devices meets the investment cost limit. Finally, the proposed method is simulated and analyzed based on the IEEE 30-bus test system. The placement results obtained by the proposed method and traditional methods are compared to verify the rationality and superiority of the proposed method. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:141 / 151
页数:10
相关论文
共 20 条
[1]  
IEEE draft recommended practice for monitoring electric power quality: IEEE Standard P1159/D6, (2019)
[2]  
OLGUIN G, VUIONOVICH F, BOLLEN M H., An optimal monitoring program for obtaining voltage sag system indexes, IEEE Transactions on Power Systems, 21, 1, pp. 378-384, (2006)
[3]  
HE Sheng, YANG Bin, YU Ming, Et al., Two-stage algorithm for optimal configuration of harmonic measurement points, Proceedings of the CSU-EPSA, 33, 6, pp. 22-27, (2021)
[4]  
LIU Ping, OUYANG Sen, Optimization of power quality monitoring network considering severity of substation voltage sags and difference of monitors, Automation of Electric Power Systems, 41, 3, pp. 161-167, (2017)
[5]  
MADTHARAD C, PREMRUDEEPPREECHACHARN S, WATSON N R, Et al., An optimal measurement placement method for power system harmonic state estimation, IEEE Transactions on Power Delivery, 20, 2, pp. 1514-1521, (2005)
[6]  
ZHANG Yan, LIN Yongyi, SHAO Zhenguo, Multi-objective optimal allocation of positioning monitoring points under considerable constraints of voltage sag, Transactions of China Electrotechnical Society, 34, 11, pp. 2375-2383, (2019)
[7]  
ALICIC R, SMAKA S., A new approach to optimal placement of power quality monitors for voltage sag detection[C], 2019 IEEE PES Innovative Smart Grid Technologies Europe, pp. 1-5, (2019)
[8]  
XU Wenyuan, ZHANG Dahai, A modal analysis method for harmonic resonance assessment, Proceedings of the CSEE, 25, 22, pp. 92-96, (2005)
[9]  
TANG Li, HU Haitao, LI Zhaoyang, Et al., Harmonic resonance analysis method considering branch type of harmonic source, Automation of Electric Power Systems, 43, 16, pp. 132-140, (2019)
[10]  
WANG Ying, LUO Daijun, XIAO Xianyong, Et al., Analysis on supraharmonic resonance characteristics with integration of multiple inverters, Automation of Electric Power Systems, 44, 1, pp. 192-199, (2020)