Risk assessment of interruption times affecting domestic and non-domestic electricity customers

Abstract Legislation defined to protect domestic and non-domestic customers from long durations of interruptions includes additional requirements to system’s reliability-related performance that distribution network operators (DNOs) must consider in planning the operation and maintenance process of power supply systems. DNOs are required to restore the supply to interrupted customers that fall into “unprotected” customer class within a given period of time, otherwise penalties are applied. In order to meet these requirements, comprehensive strategies must be defined based on upfront analyses. Accordingly, this paper proposes a deterministic algorithm for estimating DNOs’ risk of experiencing interruptions with durations above imposed targets. Besides the Regulator-defined legislation, security of supply requirements are engaged in the development of the proposed methodology. Failure analysis of network components is used to identify interrupted customers that are grouped into power demand classes such that the duration of interruptions can be addressed following the security of supply requirements. Moreover, the penalty times defined by the Energy Regulator are engaged in the analysis and used as thresholds to quantify the penalty risk that DNOs are exposed to. The proposed methodology is applied to a typical UK distribution system, whose average reliability performance is also considered in the analysis.

[1]  M. R. Bhuiyan,et al.  Modelling multistate problems in sequential simulation of power system reliability studies , 1995 .

[2]  Oliver Dzobo,et al.  Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems , 2012 .

[3]  Peng Zhang,et al.  Reliability evaluation of active distribution systems including microgrids , 2012, 2013 IEEE Power & Energy Society General Meeting.

[4]  G. Chicco,et al.  Evaluation of the probability density functions of distribution system reliability indices with a characteristic functions-based approach , 2004, IEEE Transactions on Power Systems.

[5]  Irinel-Sorin Ilie,et al.  Reliability equivalents of LV and MV distribution networks , 2012, 2012 IEEE International Energy Conference and Exhibition (ENERGYCON).

[6]  S. C. Choube,et al.  Frequency-duration analysis of composite distribution system using a non-sequential Monte Carlo simulation , 2013 .

[7]  R. Ashok Bakkiyaraj,et al.  Optimal reliability planning for a composite electric power system based on Monte Carlo simulation using particle swarm optimization , 2013 .

[8]  S. C. Choube,et al.  Probabilistic reliability indices evaluation of electrical distribution system accounting outage due to overloading and repair time omission , 2011 .

[9]  Jaime Román Úbeda,et al.  Sequential simulation applied to composite system reliability evaluation , 1992 .

[10]  Roy Billinton,et al.  Power system reliability and its assessment. III. Distribution systems and economic considerations , 1993 .

[11]  Peng Wang,et al.  Teaching distribution system reliability evaluation using Monte Carlo simulation , 1999 .

[12]  R. Billinton,et al.  Power system reliability and its assessment. I. Background and generating capacity , 1992 .

[13]  A. Yokoyama,et al.  Prevention of Reliability Degradation from Recloser–Fuse Miscoordination Due To Distributed Generation , 2008, IEEE Transactions on Power Delivery.

[14]  Roy Billinton,et al.  Power-system reliability in perspective , 1984 .

[15]  Jukka Lassila,et al.  Comparison of Reliability Indices From the Perspective of Network Automation Devices , 2010, IEEE Transactions on Power Delivery.

[16]  Mahmoud-Reza Haghifam,et al.  Quality performance based regulation through designing reward and penalty scheme for electric distribution companies , 2012 .

[17]  Reuven Y. Rubinstein,et al.  Simulation and the Monte Carlo Method , 1981 .

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

[19]  Roy Billinton,et al.  Sequential Monte Carlo simulation for composite power system reliability analysis with time varying loads , 1995 .

[20]  Ron Allan,et al.  Evaluation of reliability indices and outage costs in distribution systems , 1995 .

[21]  N. Balijepalli,et al.  Modeling and analysis of distribution reliability indices , 2004, IEEE Transactions on Power Delivery.

[22]  R. Billinton,et al.  Power system reliability and its assessment. 2. Composite generation and transmission systems , 1992 .

[23]  R. Billinton,et al.  Distributional Variation Of Distribution System Reliability Indices , 1985, IEEE Transactions on Power Apparatus and Systems.

[24]  S. C. Choube,et al.  Evaluation of reliability indices accounting omission of random repair time for distribution systems using Monte Carlo simulation , 2012 .