Synthesis Load Modeling of Power System Considering Distribution Network Structure

被引：0

作者：

Qu X. ^{[1
]}

Li X. ^{[2
]}

机构：

[1] School of Electrical Engineering, University of South China, Hengyang

[2] School of Electrical and Information Engineering, Hunan University, Changsha

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 12期

关键词：

Distribution network; Load model structure; Load modeling; Power system;

D O I：

10.7500/AEPS20190812005

中图分类号：

学科分类号：

摘要：

The structure of synthesis load model for power system is one of the most basic and key issues in the field of load modeling. In simulation calculations of power system, the load model is directly connected to the high-voltage bus of substation. However, the loads are actually connected to power gird through the high-voltage distribution network, and the existing synthesis load modeling doesn't reflect this condition. In this paper, a load modeling method suitable for high-voltage distribution network is proposed. To avoid extra complexity, the equivalent model of high-voltage distribution network is integrated into the load model, and therefore an synthesis load model considering the distribution network structure is developed. The simulation analysis shows that the proposed synthesis load model has a significant improvement in model description ability, adaptation ranges of voltage and other aspects compared with the existing synthesis load models. The two structures are similar in the comprehensive performances, but have slight differences in the parameter stability and the maintenance of load bus voltage. © 2020 Automation of Electric Power Systems Press.

引用

页码：117 / 123

页数：6

共 26 条

[11]

LI Xinran, QIAN Jun, WANG Lide, Et al., Systhesis induction motor model of power composite load considering distribution network structure, Transactions of China Electrotechnical Society, 24, 4, pp. 175-185, (2009)

[12]

TANG Yong, ZHANG Hongbin, HOU Junxian, Et al., A synthesis load model with distribution network, Power System Technology, 31, 5, pp. 34-38, (2007)

[13]

SON S, LEE S H, CHOI D H, Et al., Improvement of composite load modeling based on parameter sensitivity and dependency analyses, IEEE Transaction on Power Systems, 29, 1, pp. 242-250, (2014)

[14]

HE Zhenan, WU Hao, CHENG Xiang, Et al., Substation load clustering based on substation-consumer two-level structure, Power System Technology, 43, 8, pp. 2983-2991, (2019)

[15]

ROUHANI A, ABUR A., Real-time dynamic parameter estimation for an exponential dynamic load model, IEEE Transactions on Smart Grid, 7, 3, pp. 1530-1506, (2016)

[16]

LI Long, WEI Jing, LI Canbing, Et al., Prediction of load model based on artificial neural network, Transactions of China Electrotechnical Society, 30, 8, pp. 225-230, (2015)

[17]

JOVICA V M, KOJI Y, SERGIO M V, Et al., International industry practice on power system load modeling, IEEE Transaction on Power Systems, 28, 3, pp. 3038-3046, (2013)

[18]

KOSTEREV D N, TAYLOR C W, MITTELSTADT W A., Model validation for the August 10, 1996 WSCC system outage, IEEE Transaction on Power Systems, 14, 3, pp. 967-979, (1999)

[19]

PEREIRA L, KOSTEREV D, MACKIN P, Et al., An interim dynamic induction motor model for stability studies in the WSCC, IEEE Transaction on Power Systems, 17, 4, pp. 1108-1115, (2002)

[20]

Guide for power system load modeling: Q/GDW 11537-2016, (2016)

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