Impact of primary substation and HV faults on suburban MV network topology and total costs

The availability of electricity is of paramount importance in urban distribution networks, and one planning consideration is the way medium voltage network is protected against faults in the feeding primary substation or high voltage network. One approach is to provide primary substations with full redundancy, and another is to ensure backup from adjacent primary substations. This paper details the methodology to implement this consideration in a distribution network planning algorithm that has been under development for several years at Aalto University. A case study on a 10 kV suburban network area is demonstrated, comparing the benefit of endowing a GIS primary substation with dual HV busbars rather than just a single busbar, versus forcing backup to be available from the adjacent primary substations.

[1]  Eduardo G. Carrano,et al.  Electric distribution network multiobjective design using a problem-specific genetic algorithm , 2006, IEEE Transactions on Power Delivery.

[2]  Matti Lehtonen,et al.  Generating fault rate surfaces using network fault statistics and geographic information , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[3]  Gianni Celli,et al.  Optimal MV distribution networks planning with heuristic techniques , 1999, 1999 IEEE Africon. 5th Africon Conference in Africa (Cat. No.99CH36342).

[4]  Matti Lehtonen,et al.  An improved initial network for distribution network planning algorithms , 2014 .

[5]  E. Miguez,et al.  An Improved Branch Exchange Algorithm for Large Scale Distribution Network Planning , 2002, IEEE Power Engineering Review.

[6]  E. Miguez,et al.  Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage , 2002 .

[7]  Eero Saarijärvi Geographical Perspectives on the Development of Power Distribution Systems in Sparsely Populated Areas , 2013 .

[8]  M. Lehtonen,et al.  Switch and reserve connection placement in a distribution network planning algorithm , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[9]  Vladimiro Miranda,et al.  Genetic algorithms in optimal multistage distribution network planning , 1994 .

[10]  Koichi Nara,et al.  Algorithm for expansion planning in distribution systems taking faults into consideration , 1994 .

[11]  Matti Lehtonen,et al.  Electricity Distribution Network Planning Algorithm Based on Efficient Initial and Radial-to-Full Network Conversion , 2013 .

[12]  Matti Lehtonen,et al.  Comparison of voltage sag and outage cost in urban meshed 110-kV subtransmission network planning , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.

[13]  A. M. Cossi,et al.  Primary power distribution systems planning taking into account reliability, operation and expansion costs , 2012 .

[14]  Matti Lehtonen,et al.  Impact of MV Connected Microgrids on MV Distribution Planning , 2012, IEEE Transactions on Smart Grid.

[15]  Haozhong Cheng,et al.  Distribution network planning based on tree structure encoding partheno-genetic algorithm , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[16]  I. J. Ramírez-Rosado,et al.  New multiobjective tabu search algorithm for fuzzy optimal planning of power distribution systems , 2006, IEEE Transactions on Power Systems.