Prims Aided Floyd Warshall Algorithm for Shortest Path Identification in Microgrid

Reconfiguration of microgrid results in dynamic variation in topology of the network. Due to this, the conventional protection scheme is no longer applicable in microgrid. Hence the microgrid network demands an adaptive protection scheme, which is a key challenge to protection engineers. It is critical for the protection engineers to know the current topology of the microgrid before a suitable relay coordination technique is deployed on it. This paper proposes a Prims aided Floyd Warshall algorithm, where the Prims algorithm identifies the current topology of the network at any instant of time. In the event of fault occurrence, the output of Prims algorithm is a list of active nodes: utility grid, loads, Distributed Generators (DG) and critical circuit breakers in the network. This list aids the Floyd Warshall algorithm in identifying the shortest path from the node closer to the fault to the utility grid (in grid connected mode) or point of common coupling (in islanded mode). The algorithm ensures minimum portion of network disconnection for fault isolation. The proposed algorithm is tested and validated on an IEEE 21-bus microgrid network in islanded mode and an IEEE 69-bus distribution network with DG included at certain nodes in grid connected mode.

[1]  Stefania Conti,et al.  Analysis of distribution network protection issues in presence of dispersed generation , 2009 .

[2]  Taha Selim Ustun,et al.  Modeling of a Centralized Microgrid Protection System and Distributed Energy Resources According to IEC 61850-7-420 , 2012, IEEE Transactions on Power Systems.

[3]  Khaleequr Rehman Niazi,et al.  A novel codification for meta-heuristic techniques used in distribution network reconfiguration , 2011 .

[4]  Chun Wang,et al.  Optimization of Network Configuration in Large Distribution Systems Using Plant Growth Simulation Algorithm , 2008, IEEE Transactions on Power Systems.

[5]  S.M.T. Bathaee,et al.  Adaptive centralized protection scheme for distribution systems with DG using risk analysis for protective devices placement , 2013 .

[6]  J. C. Cebrian,et al.  Reconfiguration of distribution networks to minimize loss and disruption costs using genetic algorithms , 2010 .

[7]  Taha Selim Ustun,et al.  Implementation of Dijkstra's algorithm in a dynamic microgrid for relay hierarchy detection , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[8]  Jovica V. Milanovic,et al.  The impact of distributed synchronous generators on quality of electricity supply and transient stability of real distribution network , 2009 .

[9]  Tarlochan S. Sidhu,et al.  A Protection Strategy and Microprocessor-Based Relay for Low-Voltage Microgrids , 2011, IEEE Transactions on Power Delivery.

[10]  Sukumar Brahma,et al.  Development of adaptive protection scheme for distribution systems with high penetration of distributed generation , 2004 .

[11]  Joydeep Mitra,et al.  Microgrid Protection Using Communication-Assisted Digital Relays , 2010, IEEE Transactions on Power Delivery.

[12]  Srdjan Dimitrijevic,et al.  An innovative approach for solving the restoration problem in distribution networks , 2011 .

[13]  Azah Mohamed,et al.  TECHNICAL CHALLENGES ON MICROGRIDS , 2008 .

[14]  Xiangning Lin,et al.  Regional protection scheme designed for low-voltage micro-grids , 2015 .

[15]  Taha Selim Ustun,et al.  Fault current coefficient and time delay assignment for microgrid protection system with central protection unit , 2013, IEEE Transactions on Power Systems.

[16]  Yi Han,et al.  Study of adaptive fault current algorithm for microgrid dominated by inverter based distributed generators , 2010, The 2nd International Symposium on Power Electronics for Distributed Generation Systems.

[17]  Zhe Chen,et al.  A Simple Adaptive Overcurrent Protection of Distribution Systems With Distributed Generation , 2011, IEEE Transactions on Smart Grid.

[18]  Hamidreza Akhondi,et al.  A New Adaptive Method for Distribution System Protection Considering Distributed Generation Units Using Simulated Annealing Method , 2012 .