Distributed Multi-Agent Scheme to Improve Dynamic Voltage Stability of Distribution Networks

被引：0

作者：

Rahman, M. S. ^{[1
]}

Mahmud, M. A. ^{[2
]}

Pota, H. R. ^{[1
]}

Hossain, M. J. ^{[3
]}

Oo, Amanullah M. T. ^{[4
]}

机构：

[1] Univ New S Wales, POB 7916, Canberra, BC 2610, Australia

[2] Swinburne Univ Technol, Hawthorn, Vic 3122, Australia

[3] Griffith Univ, Gold Coast, Qld 4215, Australia

[4] Deakin Univ, Geelong, Vic 3220, Australia

来源：

2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年

关键词：

dynamic voltage stability; distribution network; multi-agent system; DSTATCOM; renewable energy; ENERGY MANAGEMENT; SYSTEM; CONTROLLER;

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：

In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically perform two tasks-reactive power estimation and necessary control actions. The topology of distribution network is used to estimate the required reactive power for maintaining voltage stability where distributed static synchronous compensators (DSTATCOMs) are used to supply this reactive power. The DSTATCOM is controlled by using a linear quadratic regulator (LQR) controller within the agent framework. The proposed scheme is further compared with the conventional approach to validate the simulation results.

引用

页数：5

共 18 条

[1]

[Anonymous], 2011, 2011 IEEE INT C COMM

[2]

Colson C.M., 2011, IEEE Power and Energy Society General Meeting San Diego, CA, P1

[3] Reactive power compensation technologies:: State-of-the-art review [J].

Dixon, J ;

Morán, L ;

Rodríguez, J ;

Domke, R .

PROCEEDINGS OF THE IEEE, 2005, 93 (12) :2144-2164

[4] Hierarchical management and control based on MAS for distribution grid via intelligent mode switching [J].

Dou, Chun-xia ;

Liu, Bin .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 :352-366

[5] Modelling, simulation and experimental verification for renewable agents connected to a distorted utility grid using a Real-Time Digital Simulation Platform [J].

Guerrero-Rodriguez, N. F. ;

Rey-Boue, Alexis B. .

ENERGY CONVERSION AND MANAGEMENT, 2014, 84 :108-121

[6] Robust STATCOM control for the stabilisation of fixed-speed wind turbines during low voltages [J].

Hossain, M. J. ;

Pota, H. R. ;

Ramos, R. A. .

RENEWABLE ENERGY, 2011, 36 (11) :2897-2905

[7] An integrated framework of agent-based modelling and robust optimization for microgrid energy management [J].

Kuznetsova, Elizaveta ;

Li, Yan-Fu ;

Ruiz, Carlos ;

Zio, Enrico .

APPLIED ENERGY, 2014, 129 :70-88

[8] A multi-agent system for energy management of distributed power sources [J].

Lagorse, Jeremy ;

Paire, Damien ;

Miraoui, Abdellatif .

RENEWABLE ENERGY, 2010, 35 (01) :174-182

[9] An alternative LQR-based excitation controller design for power systems to enhance small-signal stability [J].

Mahmud, M. A. .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 63 :1-7

[10] Partial Feedback Linearizing Excitation Controller for Multimachine Power Systems to Improve Transient Stability [J].

Mahmud, M. A. ;

Pota, H. R. ;

Aldeen, M. ;

Hossain, M. J. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (02) :561-571

← 1 2 →