Contingency Assessment of Radial Distribution System

The purpose of the investigation presented in this paper is to obtain the optimal restructure of radial distribution system under the impact of contingencies, with and without the scope of distributed generation. Firstly, solution to occurrence of contingency is proposed by finding out the best switching sequence of a specified number of tie lines and sectionalizes with an objective to improve the continuity of power flow in radial system. Secondly genetic algorithm (GA) has been used to find the optimal location and size of embedded distribution generation (DG), to improve voltage profile and to reduce losses for given load demand. The outcome of the proposed study is illustrated through simulations of loaded 69-bus radial distribution system. The obtained results suggest that the investment is distribution generation is attractive when reconfiguration is used to minimize load curtailment.

[1]  C. Lyra,et al.  Adaptive Hybrid Genetic Algorithm for Technical Loss Reduction in Distribution Networks Under Variable Demands , 2009, IEEE Transactions on Power Systems.

[2]  Caisheng Wang,et al.  Analytical approaches for optimal placement of distributed generation sources in power systems , 2004, IEEE Transactions on Power Systems.

[3]  K. Ravindra,et al.  Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation , 2013, IEEE Transactions on Power Systems.

[4]  Luciane Neves Canha,et al.  Electric distribution network reconfiguration based on a fuzzy multi-criteria decision making algorithm , 2009 .

[5]  J. Teng.  A direct approach for distribution system load flow solutions , 2003 .

[6]  Javier Contreras,et al.  Contingency Assessment and Network Reconfiguration in Distribution Grids Including Wind Power and Energy Storage , 2015, IEEE Transactions on Sustainable Energy.

[7]  Debapriya Das.  Reconfiguration of distribution system using fuzzy multi-objective approach , 2006 .

[8]  Northwoods Pkwy.  Distribution Network Reconfiguration: Single Loop Optimization , 1996 .

[9]  Karma Sonam Sherpa,et al.  An Efficient Method for Load−Flow Solution of Radial Distribution Networks , 2008 .

[10]  D.V. Nicolae,et al.  Reconfiguration and Load Balancing in the LV and MV Distribution Networks for Optimal Performance , 2007, IEEE Transactions on Power Delivery.

[11]  Naoto Yorino,et al.  Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization , 2016, IEEE Transactions on Power Systems.

[12]  R. Jabr.  Radial distribution load flow using conic programming , 2006, IEEE Transactions on Power Systems.

[13]  Mahmoud Moghavvemi,et al.  Artificial neural network approach to network reconfiguration for loss minimization in distribution networks , 1998 .

[14]  Haixia Zhang,et al.  Distribution system feeder reconfiguration considering different model of DG sources , 2015 .

[15]  D. Shirmohammadi,et al.  Reconfiguration of electric distribution networks for resistive line losses reduction , 1989 .

[16]  M. M. Aman,et al.  Graph theory‐based radial load flow analysis to solve the dynamic network reconfiguration problem , 2016 .

[17]  S. Singh,et al.  Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss , 2012, IEEE Transactions on Power Delivery.

[18]  G.W. Chang,et al.  An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems , 2007, IEEE Transactions on Power Systems.

[19]  D. Shirmohammadi,et al.  A compensation-based power flow method for weakly meshed distribution and transmission networks , 1988 .

[20]  R. Taleski,et al.  Voltage correction power flow , 1994 .