A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding

被引：119

作者：

Sharma, Anurag ^{[1
]}

Srinivasan, Dipti ^{[1
]}

Trivedi, Anupam ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 640190, Singapore

来源：

IEEE TRANSACTIONS ON SMART GRID | 2015年 / 6卷 / 06期

关键词：

Distributed generation (DG); electric vehicles (EVs); islanding; multiagent system (MAS); service restoration; smart grid; vehicle-to-grid (V2G); LARGE-SCALE; RECONFIGURATION; OPERATION; IMPACT;

D O I：

10.1109/TSG.2015.2418334

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a decentralized multiagent system (MAS) approach for service restoration using controlled distributed generator (DG) islanding. Furthermore, it investigates the impacts of vehicle-to-grid (V2G) facility of the electric vehicles (EVs) for service restoration. Service restoration is formulated as a multiobjective optimization problem considering maximization of priority load restored and minimization of switching operations as the multiple objectives and solved using the proposed decentralized MAS approach. Extensive case studies are conducted on 38, 69, and 119 bus distribution systems, and the following advantages of the proposed MAS approach are observed: 1) flexibility-to perform under different DG and EV penetration levels; 2) scalability-to restore service for different size test systems, small as well as large; and 3) robustness-ability to perform efficiently for both single as well as multiple-fault situations. The simulation results also highlight the benefits of V2G feature of EVs for service restoration.

引用

页码：2784 / 2793

页数：10

共 33 条

[1] Microgrid Stability Characterization Subsequent to Fault-Triggered Islanding Incidents [J].

Alaboudy, A. H. Kasem ;

Zeineldin, H. H. ;

Kirtley, James L., Jr. .

IEEE TRANSACTIONS ON POWER DELIVERY, 2012, 27 (02) :658-669

[2]

[Anonymous], 2009, IEEE Std 1698-2009, P1, DOI [DOI 10.1109/IEEESTD.2009.5154067, 10.1109/IEEESTD.2011.5712769, DOI 10.1109/IEEESTD.2011.5712769, 10.1109/IEEESTD.2009.5332051, DOI 10.1109/IEEESTD.2009.5332051]

[3]

[Anonymous], 2011, IEEE Standard 1241-2010, P1, DOI [DOI 10.1109/IEEESTD.2011.5692956, 10.1109/IEEESTD.2011.5692956, DOI 10.1109/IEEESTD.2011.5960751]

[4]

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

[5] Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach [J].

Falaghi, Hamid ;

Haghifam, Mahmood-Reza ;

Singh, Chanan .

IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (01) :268-276

[6]

Feng XuePing, 2011, 2011 IEEE International Conference on Advanced Power System Automation and Protection (APAP), P378, DOI 10.1109/APAP.2011.6180431

[7] PEA guidelines for impact study and operation of DG for islanding operation [J].

Fuangfoo, Pradit ;

Meenual, Thongchai ;

Lee, Wei-Jen ;

Chompoo-inwai, Chow .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2008, 44 (05) :1348-1353

[8] Smart Scheduling and Cost-Benefit Analysis of Grid-Enabled Electric Vehicles for Wind Power Integration [J].

Ghofrani, Mahmoud ;

Arabali, Amirsaman ;

Etezadi-Amoli, Mehdi ;

Fadali, Mohammed Sami .

IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (05) :2306-2313

[9] Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation [J].

Han, Sekyung ;

Han, Soohee ;

Sezaki, Kaoru .

IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (01) :65-72

[10] A Fully Decentralized Multi-Agent System for Intelligent Restoration of Power Distribution Network Incorporating Distributed Generations [J].

Li, Hengxuan ;

Sun, Haishun ;

Wen, Jinyu ;

Cheng, Shijie ;

He, Haibo .

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2012, 7 (04) :66-76

← 1 2 3 4 →