Design Fuzzy Logical Power System Stabilizer to Damp Low Frequency Oscillation of Power System

被引：0

作者：

Jie, Jinxing ^{[1
]}

Lin, Hai ^{[1
]}

Liu, Yadong ^{[1
]}

Yu, Yang ^{[2
]}

机构：

[1] State Grid Jilin Elect Power Co Ltd, Elect Power Res Inst, Changchun 130021, Peoples R China

[2] Xianghe Cheng Sci & Technol Changchun Co Ltd, Changchun 130021, Peoples R China

来源：

10TH ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC 2018) | 2018年

关键词：

Power system stabilizer; low frequency oscillations; fuzzy logical control; Matlab simulation;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposed a Fuzzy Logic Controller for Power System Stabilizer (FLPSS) to enhance the performance of a Single Machine Infinite Bus (SMIB) system under steady state and dynamic conditions of the electrical power system. The proposed FLPSS utilizes two signals; namely speed deviation and change in speed deviation as two inputs variable. Each input variable has seven linguistic variables and totally they form forty nine fuzzy rules for controlling the stabilizer. The effectiveness of the proposed fuzzy stabilizer is demonstrated by simulation in Matlab/Simulink of SMIB system, and the performance for damping low frequency oscillations in power system is better compared with Conventional Power System Stabilizer (CPSS) under small perturbation and three-phase fault.

引用

页码：903 / 910

页数：8

共 50 条

[41] Design of an Optimal tuned Sliding Mode Controlled Power System Stabilizer for Stability Enhancement by Damping the Low Frequency Oscillations. [J].

Sreedivya, K. M. ;

Jeyanthy, P. Aruna ;

Devaraj, D. .

PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, :181-186

[42] Research on improving low-frequency oscillation characteristics of wind power grid-connected power system with doubly-fed wind generator based on virtual impedance power system stabilizer [J].

He, Ping ;

Zhu, Yongliang ;

Li, Qiuyan ;

Fan, Jiale ;

Tao, Yukun .

ARCHIVES OF ELECTRICAL ENGINEERING, 2023, 72 (03) :811-828

[43] Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer [J].

D. K. Sambariya ;

R. Prasad .

International Journal of Fuzzy Systems, 2017, 19 :813-828

[44] Selection of Membership Functions Based on Fuzzy Rules to Design an Efficient Power System Stabilizer [J].

Sambariya, D. K. ;

Prasad, R. .

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (03) :813-828

[45] Design of single-input fuzzy logic control-power system stabilizer [J].

Lee, YS ;

Lin, CI ;

Hsu, KL ;

Chuang, CF .

2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS, 2002, :1901-1904

[46] Power System Dynamic Stability Enhancement of SMIB Using Fuzzy Logic Based Power System Stabilizer [J].

Rout, Kamalesh Chandra ;

Panda, P. C. .

POWER ELECTRONICS AND INSTRUMENTATION ENGINEERING, 2010, 102 :10-14

[47] Direct Adaptive Fuzzy Power System Stabilizer for a Multi-machine System [J].

Hussein, Tawfiq ;

Shamekh, Awad .

UKSIM-AMSS 15TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM 2013), 2013, :33-38

[48] Analytical structure of PID fuzzy logic power system stabilizer [J].

Rao, G ;

Sudha, KR .

Proceedings of the Fourth IASTED International Conference on Modelling, Simulation, and Optimization, 2004, :143-147

[49] Fuzzy applications in a multi-machine power system stabilizer [J].

Sambariya D.K. ;

Gupta R. .

Journal of Electrical Engineering and Technology, 2010, 5 (03) :503-510

[50] Fuzzy Applications in a Multi-Machine Power System Stabilizer [J].

Sambariya, D. K. ;

Gupta, Rajeev .

JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2010, 5 (03) :503-510

← 1 2 3 4 5 →