System Modeling and Simulation of Intentionally Islanded Reconfigurable Microgrid

Muhammad Shoaib Khalid; Xiang Ning Lin; Jin Wen Sun; Yi Xin Zhuo; Ning Tong; Fan Tao Zeng; Asad Waqar

doi:10.4028/www.scientific.net/AMR.1070-1072.1366

Paper Titles

Comprehensive Evaluation Index System and Method of Smart Distribution Grid
p.1339

Model Research on the Whole Industry Chain Value Analysis of Strong and Smart Grid
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The Analysis of Micro-Grid Investment Income for Different Operating Modes
p.1355

Concept of URT Traction DC Microgrid and its Application Feasibility Study
p.1361

System Modeling and Simulation of Intentionally Islanded Reconfigurable Microgrid
p.1366

The Research on Commercial Modes of Smart Grid Value-Added Services Based on BSC Theory
p.1371

The Research on Relay Protection Settings On-Line Verification System Application in Smart Grid
p.1378

Multi-Objective Dispatch of a Microgrid with Battery Energy Storage System Based on Model Predictive Control
p.1384

The Development about Multifunction Merging Unit Used in Smart Substation
p.1391

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1070-1072System Modeling and Simulation of Intentionally...

System Modeling and Simulation of Intentionally Islanded Reconfigurable Microgrid

Abstract:

Microgrid reconfiguration plays important role in improving continuity of power supply especially in the event of fault within the power grid or microgrid connected to the medium voltage distribution network. Due to the fault in power grid, intentional islanding through static switch is one possible solution while, fault within the microgrid emphasizes microgrid reconfiguration to recover maximum affected loads in each isolated zone. This paper presents multiagent system based (MAS) approach in order to withstand stably and autonomously in the event of fault within microgrid or power grid. MAS approach includes negotiation agent (NA) for the entire microgrid and bus agent (BA) for each bus within each zone. NA is responsible for selecting a Dominant-BA from each zone and prioritizing the zones by using region weight coefficient (RWC) method. Zone having excessive power will recombine with the zone having lesser power for maintaining power quality of sensitive and less sensitive loads, while normal loads are shed.

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Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

1366-1370

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1366

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Online since:

December 2014

Authors:

Muhammad Shoaib Khalid*, Xiang Ning Lin, Jin Wen Sun, Yi Xin Zhuo, Ning Tong, Fan Tao Zeng, Asad Waqar

Keywords:

Distributed Generation (DG), Microgrid Reconfiguration, Multi-Agent System (MAS), PowerFactory

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* - Corresponding Author

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