Branch Grouping Algorithm for Enhancing Reliability of the Distribution System Restoration

The radial distribution design is one of the most used grid types, and a single branch fault in the network may disconnect downstream portion of the system. Therefore, an efficient and quick restoration plan is required when fault is occurred. This paper proposes new branch grouping algorithm (BGA), which is based on the topology of the network. BGA may be used for fastening the restoration of the distribution grid. Case study considers a single switch solution using tie-lines for single branch fault scenarios for IEEE 33-bus and 69-bus distribution systems. Results reveal that scenario calculation time for offline solutions in the larger system is decreased thrice.

[1]  Li Mengzan,et al.  Design and realization for fault restoration system based on the genetic algorithm , 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

[2]  T. Genji,et al.  Comparative Study of Modern Heuristic Algorithms to Service Restoration in Distribution Systems , 2001, IEEE Power Engineering Review.

[3]  Yong Wang,et al.  Service restoration of distribution system with priority customers and distributed generation , 2012, IEEE PES Innovative Smart Grid Technologies.

[4]  Yang Fan,et al.  An integrated power restoration method based on improved genetic algorithm for active distribution network , 2017, 2017 2nd International Conference on Power and Renewable Energy (ICPRE).

[5]  Mehrdad Abedi,et al.  A New Heuristic Method for Distribution Network Restoration and Load Elimination Using Genetic Algorithm , 2018, 2018 Electrical Power Distribution Conference (EPDC).

[6]  Y. Besanger,et al.  Optimizing the re-energizing of distribution systems using the full potential of dispersed generation , 2006, 2006 IEEE Power Engineering Society General Meeting.

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

[8]  Li-Bao Shi,et al.  A Multi-agent Based Framework for Load Restoration Incorporating Photovoltaic-Energy Storage System , 2018, 2018 International Conference on Power System Technology (POWERCON).

[9]  Galiveeti Hemakumar Reddy,et al.  Fuzzy Based Approach for Restoration of Distribution System During Post Natural Disasters , 2018, IEEE Access.

[10]  Pramod Kumar,et al.  Distribution system restoration using fuzzy multi-criteria evaluation , 2014, 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH).

[11]  Srdjan Lukic,et al.  Multi-Agent Distributed Service Restoration Scheme for Distribution Systems with Embedded Microgrids , 2018, 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).

[12]  Xia Mingchao,et al.  A Service Restoration Method for Active Distribution Network , 2014 .

[13]  M. Kezunovic,et al.  Distribution System Self-Healing Implementation using Decentralized IED-based Multi-Agent System , 2018, 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA).

[14]  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).

[15]  Seung-Jae Lee,et al.  Service Restoration Methodology for Multiple Fault Case in Distribution Systems , 2006, IEEE Transactions on Power Systems.

[16]  Y. Fukuyama,et al.  Comparative study of modern heuristic algorithms to service restoration in distribution systems , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).