Equivalency of Different Load Models Based on Volterra Online Parameter Identification

Xiaoming JIN, Kun MEN, Dongqi HUANG, Yong LI, Zhichang YUAN, Songtai YU, Chao LU

South Power Sys Technol ›› 2015, Vol. 9 ›› Issue (6) : 68-74.

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South Power Sys Technol ›› 2015, Vol. 9 ›› Issue (6) : 68-74. DOI: 10.13648/j.cnki.issn1674-0629.2015.06.012
System Analysis & Simulation

Equivalency of Different Load Models Based on Volterra Online Parameter Identification

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Abstract

Based on Volterra online parameter identification method, by means of digital simulation, dominant parameters identification, model substitution, as well as external response characteristic comparison, the equivalency and adaptability of using ZM model to represent ZIP model or ZIPM model are investigated. Simulation results show that, when the proportion of constant impedance load of ZIP portion in ZIPM model is greater than 70%, the external response characteristics of equivalent ZM model are similar to the ZIPM model, and can satisfy the requirements of electromechanical transient simulation.

Key words

load model / Volterra series / paremeter identification

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Xiaoming JIN , Kun MEN , Dongqi HUANG , et al . Equivalency of Different Load Models Based on Volterra Online Parameter Identification[J]. Southern Power System Technology. 2015, 9(6): 68-74 https://doi.org/10.13648/j.cnki.issn1674-0629.2015.06.012

References

[1]
田芳, 董春晖, 李亚楼, 等. 电力系统运行及安全监控仿真系统的研究与开发[J]. 中国电机工程学报, 2011, 31(28):80-86.
TIAN Fang, DONG Chunhui, LI Yalou, et al. Power system operation and security monitoring simulation system[J]. Proceedings of the CSEE, 2011, 31(28):80-86.
[2]
肖健, 文福拴. 广域保护及其应用[J]. 电力系统及其自动化学报, 2008, 20(2):22-35.
XIAO Jian, WEN Fushuan. Wide-area protection and its applications[J]. Proceedings of the CSU-EPSA, 2008, 20(2):22-35.
[3]
靳希, 吴文辉, 吴世敏, 等. 基于PMU的广域测量技术及其应用[J]. 电网与清洁能源, 2010, 26(10):10-13.
JIN Xi, WU Wenhui, WU Shimin, et al. Wide area measurement technology based on PMU and its applications[J]. Power System and Clean Energy, 2010, 26(10):10-13.
[4]
王梅义. 大电网事故分析与技术应用[M]. 北京: 中国电力出版社, 2008.
[5]
汤涌, 张红斌, 侯俊贤. 考虑配电网络的综合负荷模型[J]. 电网技术, 2007, 31(5):34-38.
TANG Yong, ZHANG Hongbin, HOU Junxian. A synthesis load model with distribution network[J]. Power System Technology, 2007, 31(5):34-38.
[6]
李欣然, 李培强, 陈辉华, 等. 基于统计综合负荷建模的系统方法研究[J]. 电力自动化设备, 2004, 24(3):25-28.
LI Xinran, LI Peiqiang, CHEN Huihua, et al. Systemic method research of aggregate load modeling based on component-based modeling approach[J]. Electric Power Automation Equipment, 2004, 24(3):25-28.
[7]
廖其龙, 电压稳定现象和负荷失稳性质的理论分析和控制策略研究[D]. 重庆: 重庆大学, 2010.
[8]
金小明, 门锟, 李勇, 等. 单一综合负荷模型等效负荷群的适用性研究[J]. 南方电网技术, 2015, 9(4):96-102.
JIN Xiaoming, MEN Kun, LI Yong, et al. Feasibility of a single composite load model representing composite loads in an area[J]. Southern Power System Technology, 2015, 9(4):96-102.
[9]
李勇, 金小明, 邱丽萍, 等. 南方电网负荷模型在故障拟合上比较分析[J]. 南方电网技术, 2014, 8(3):63-66.
LI Yong, JIN Xiaoming, QIU Liping, et al. Comparative analysis of CSG’s load models for fault simulation[J]. Southern Power System Technology, 2014, 8(3): 63-66.
[10]
李颖, 贺仁睦, 徐衍会, 等. 广东电网基于PMU的负荷模型参数辨识研究[J]. 南方电网技术, 2009, 3(1):16-19.
LI Ying, HE Renmu, XU Yanhui, et al. Research of PMU-based load model parameters identification of Guangdong Power Grid[J]. Southern Power System Technology, 2009, 3(1): 16-19.
[11]
尹建华, 黄东启, 艾芊. 基于电能质量装置数据和改进克隆选择算法的电力动态负荷建模[J]. 南方电网技术, 2011, 5(6):42-46.
YIN Jianhua, HUANG Dongqi, AI Qian. Electrical dynamic load modeling based on the power quality equipments data and the improved clone selection algorithm[J]. Southern Power System Technology, 2011, 5(6): 42-46.
[12]
鞠平, 潘学萍, 韩敬东. 3种感应电动机综合负荷模型的比较[J]. 电力系统自动化, 1999, 23(19):40-42,47.
JU Ping, PAN Xueping, HAN Jingdong. Comparison of three composite induction motor load models[J]. Automation of Electric Power Systems, 1999, 23(19):40-42,47.
[13]
鞠平, 谢会玲, 陈谦. 电力负荷建模研究的发展趋势[J]. 电力系统自动化, 2007, 31(2):1-4,64.
JU Ping, XIE Huiling, CHEN Qian. Research tendencies of electric load modeling[J]. Automation of Electric Power Systems, 2007, 31(2):1-4,64.
[14]
陈谦, 孙建波, 蔡敏, 等. 考虑配电网络综合负荷模型的参数确定[J]. 中国电机工程学报, 2008, 28(16):45-50.
CHEN Qian, SUN Jianbo, CAI Min, et al. Parameters determination of synthesis load model considering distribution network connection[J]. Proceedings of the CSEE, 2008, 28(16):45-50.
[15]
李旭前, 孙士云. 基于WAMS的静态负荷模型参数辨识[J]. 云南水力发电, 2007, 23(4):9-12.
LI Xuqian, SUN Shiyun. Parameters identification of the static load model based on wide-area-measurement system[J]. Yunnan Water Power, 2007, 23(4):9-12.
[16]
鞠平. 电力系统负荷建模理论与实践[J]. 电力系统自动化, 1999, 23(19):1-7.
JU Ping. Theory and practice of load modeling in power system[J]. Automation of Electric Power Systems, 1999, 23(19):1-7.
[17]
LI Lili, XIE Xiaorong, YAN Jianfeng, et al. Fast online identification of the dominant parameters of composite load model using Volterra model and pattern classification[C]// IEEE PES General Meeting, 2007, Tampa, Florida: IEEE PES, 2007: 1-8.
[18]
SCHETZEN M. The Volterra and Wiener theories of nonlinear systems[M]. New York: John Wiley & Sons, 1980.
[19]
孔祥玉, 韩崇昭, 马红光, 等. 基于Volterra级数的全解耦RLS自适应辨识算法[J]. 系统仿真学报, 2004, 16(4):807-809.
KONG Xiangyu, HAN Chongzhao, MA Hongguang, et al. Fully decoupled RLS adaptive identification algorithm based on Volterra series[J]. Journals of System Simulation, 2004, 16(4):807-809.
[20]
谢宏, 何怡刚, 曾广达, 等. 基于Volterra级数和方波脉冲函数变换的非线性系统模型辨识与故障诊断[J]. 电路与系统学报, 2004, 9(2):50-53.
XIE Hong, HE Yigang, ZENG Guangda, et al. Nonlinear system identification and fault diagnosis based on Volterra series and block-pulse function transform[J]. Journal of Circuits and Systems, 2004, 9(2):50-53.
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