A calculation method for a power user’s CIC under specific conditions in smart distribution grid

This paper presents a practical method for calculating a power user’s customer interruption costs (CIC) under specific conditions. This novel method has been developed, based on the CIC results predicted by Lawrence Berkeley National Laboratory (LBNL), so that the key factors, such as customer type, customer size, interruption occurrence time and interruption duration can be considered. As compared to the LBNL method, the method proposed here is easy to understand and easy to execute with an acceptable error. It lays a solid foundation for further investigation of distributed generators and demand response in assessing reliability value of smart distribution grid (SDG). The effectiveness of the proposed method is confirmed through the assessment of RBTS-Bus2.

[1]  K. K. Kariuki,et al.  Evaluation of reliability worth and value of lost load , 1996 .

[2]  Deng Hong-zhong.  Reliability Evaluation of Distribution Systems Based on Time-varying Failure Rate and Service Restoration Time Model , 2011 .

[3]  R. Billinton,et al.  Comparison of Two Alternate Methods to Establish an Interrupted Energy Assessment Rate , 1987, IEEE Transactions on Power Systems.

[4]  Joseph H. Eto,et al.  How to estimate the value of service reliability improvements , 2010, IEEE PES General Meeting.

[5]  Roy Billinton,et al.  Cost-benefit analysis of power system reliability: two utility case studies , 1995 .

[6]  Roy Billinton,et al.  Determination of reliability worth for distribution system planning , 1994 .

[7]  Roy Billinton,et al.  Features that influence composite power system reliability worth assessment , 1997 .

[8]  M. J. Sullivan,et al.  Outage cost estimation guidebook , 1995 .

[9]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[10]  Michael J. Sullivan,et al.  Estimated Value of Service Reliability for Electric Utility Customers in the United States , 2009 .

[11]  Jingran Wang,et al.  Security value based expansion planning of power system with integration of large-scale wind power , 2012 .

[12]  N. Srinivas,et al.  Non-destructive condition assessment of energized cable systems , 2006, 2006 IEEE Power Engineering Society General Meeting.

[13]  YiXin Yu,et al.  1-Neighbour knapsack problem and prospective greedy algorithm of intentional islanding in active distribution network , 2014 .

[14]  Bing Sun,et al.  Challenges and R&D opportunities of smart distribution grids in China , 2014 .

[15]  Roy Billinton,et al.  Rural distribution system reliability worth evaluation using individual customer outage cost characteristics , 2004 .

[16]  Roy Billinton,et al.  A reliability test system for educational purposes-basic distribution system data and results , 1991 .

[17]  Shengwei Mei,et al.  Recent advances on smart grid technology and renewable energy integration , 2013 .

[18]  Roy Billinton,et al.  Time sequential distribution system reliability worth analysis considering time varying load and cost models , 1999 .