Distribution System Restoration Using Spanning Tree Based on Depth First Search Visual in GUI

Distribution system restoration (DSR) is one of the most challenging problems of modern distribution network under the umbrella of smart grids. DSR is aimed to resupply out-of-service load by changing the topological structure of the distribution system following the fault isolated area through the network reconfiguration. This paper present spanning tree search to ascertain the optimal DSR plan that maximizes the restored load, minimizes the number of switching operation and minimizes the real power losses. Depth first search (DFS) algorithm is unweight graph which is proposed to represent the distribution system as a spanning tree that can maintain the radial structure of system. The proposed algorithm is applied to a modified IEEE 69-bus system by compared with heuristic graph-based method to verify its effectiveness. The results illustrate that, the same amount of switching operation for both proposed algorithms, the proposed algorithm in this paper is able to minimize real power losses and provide a most effective restoration strategy in multi-fault conditions. The 111-bus system which is a part of Surabaya distribution is also used as a test system. Simulation results are displayed on MATLAB graphic user interface (GUI) tool that can help users to carry out computations through an interface.

[1]  S. Srivastava,et al.  Expert-system method for automatic reconfiguration for restoration of shipboard power systems , 2006 .

[2]  Hsiao-Dong Chiang,et al.  Improving Service Restoration of Power Distribution Systems Through Load Curtailment of In-Service Customers , 2011, IEEE Transactions on Power Systems.

[3]  Ali Doustmohammadi,et al.  Optimal islands determination in power system restoration applying multi-objective populated simulated annealing , 2019 .

[4]  Sanjay Goswami,et al.  A graph theory application for fast and efficient search of optimal radialized distribution network topology , 2020 .

[5]  Whei-Min Lin,et al.  A new approach for distribution feeder reconfiguration for loss reduction and service restoration , 1998 .

[6]  M. M. A. Salama,et al.  A graph-theoretic service restoration algorithm for power distribution systems , 2018, 2018 International Conference on Innovative Trends in Computer Engineering (ITCE).

[7]  Chen Yuan,et al.  Modified Viterbi Algorithm Based Distribution System Restoration Strategy for Grid Resiliency , 2017, IEEE Transactions on Power Delivery.

[8]  Kwan-Ho Kim,et al.  Expert system-aided service restoration in distribution automation , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[9]  Suneet Singh,et al.  A heuristic method for feeder reconfiguration and service restoration in distribution networks , 2009 .

[10]  Y. Kumar,et al.  Multiobjective, Multiconstraint Service Restoration of Electric Power Distribution System With Priority Customers , 2008, IEEE Transactions on Power Delivery.

[11]  Anamika Dubey,et al.  A Graph-theoretic Framework for Electric Power Distribution System Service Restoration , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[12]  Hiroshi Sasaki,et al.  An efficient method for power distribution system restoration based on mathematical programming and operation strategy , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[13]  G. Heydt,et al.  Distribution System Restoration via Subgradient-Based Lagrangian Relaxation , 2008, IEEE Transactions on Power Systems.

[14]  Y.-T. Hsiao,et al.  Enhancement of restoration service in distribution systems using a combination fuzzy-GA method , 2000 .

[15]  Chen-Ching Liu,et al.  Distribution System Restoration With Microgrids Using Spanning Tree Search , 2014, IEEE Transactions on Power Systems.

[16]  G.T. Heydt,et al.  Optimal Restoration of Distribution Systems Using Dynamic Programming , 2008, IEEE Transactions on Power Delivery.

[17]  Meysam GHOLAMI,et al.  Service restoration in distribution networks using combination of two heuristic methods considering load shedding , 2015 .

[18]  Khaled Bashir Shaban,et al.  Modern network reconfiguration techniques for service restoration in distribution systems: A step to a smarter grid , 2018, Alexandria Engineering Journal.

[19]  D. Popović,et al.  Multi-objective distribution network restoration using heuristic approach and mix integer programming method , 2000 .

[20]  Adi Soeprijanto,et al.  Power-Flow Development Based on the Modified Backward-Forward for Voltage Profile Improvement of Distribution System , 2016 .

[21]  D Pavana,et al.  POWER SYSTEM RESTORATION IN DISTRIBUTION NETWORK THROUGH RECONFIGURATION USING MST-KRUSKAL'S ALGORITHM , 2015 .