Reliability evaluation of demand response to increase distribution network utilisation

In response to distribution network challenges such as increasing demand, infrastructure ageing and integration of distributed generation, alternative approaches are being sought to release existing network capacity, before proceeding to new investments. Considering that most distribution networks in the UK are typically designed as a ring but operated radially, this paper discusses the effect of a loop operation aimed at maximizing the capacity utilisation of the existing asset. In this context, demand response schemes are implemented as a corrective action following a contingency with the aim of maintaining the system within its limits. Sequential Monte Carlo Simulations (SMCS) are used to quantify the reliability performance under different scenarios, also considering the influence of Information and Communications Technology (ICT) and automatic control schemes. Simulation studies have been performed on real UK distribution networks, showing the impact of different types of operation. The results indicate that a radial operation with automated interconnection with other circuits could result in comparable performance indicators and capacity increase as a ring operation.

[1]  Daniel S. Kirschen,et al.  Assessing the effect of failures in the information and communication infrastructure on power system reliability , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[2]  Magdy M. A. Salama,et al.  Adequacy assessment of distributed generation systems using Monte Carlo Simulation , 2003 .

[3]  Sasa Z. Djokic,et al.  Reliability performance of smart grids with demand-side management and distributed generation/storage technologies , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[4]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[5]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[6]  G. Strbac,et al.  Sequential Monte Carlo Simulation Assessment of the Quality of Supply in Distribution Networks , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[7]  Timothy C. Green,et al.  Communication Infrastructures for Distributed Control of Power Distribution Networks , 2011, IEEE Transactions on Industrial Informatics.

[8]  Matti Lehtonen,et al.  Benefits of Demand Response on Operation of Distribution Networks: A Case Study , 2016, IEEE Systems Journal.

[9]  M. A. da Rosa,et al.  Adequacy and Security Evaluation of Distribution Systems With Distributed Generation , 2012, IEEE Transactions on Power Systems.

[10]  Yong Fu,et al.  Reliability Assessment of Smart Grid Considering Direct Cyber-Power Interdependencies , 2012, IEEE Transactions on Smart Grid.

[11]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[12]  Roy Billinton,et al.  Reliability-network-equivalent approach to distribution-system-reliability evaluation , 1998 .

[13]  Emilio Ghiani,et al.  Reliability assessment in smart distribution networks , 2013 .