Comparison of different models for estimating the residential sector customer interruption costs

Abstract Estimation of economic impacts of power interruptions in residential customers segment is a challenging and tedious task. The literature presents different methods to come up with sound calculations for these customer interruption costs. This paper makes use of a detailed customer survey study that was conducted in Finland and presents a comparison of five different models: WTA, WTP, direct worth approach, price elasticity approach and a new macroeconomic model. When doing the analysis a total of 1009 customers are divided into three sub-categories regarding the distinct characteristics of power consumptions: households, vacation houses and farm house customers.

[1]  Guido Pepermans,et al.  The Value of Continuous Power Supply for Flemish Households , 2011 .

[2]  Roy Billinton,et al.  Reliability worth assessment in a developing country-residential survey results , 1999 .

[3]  M. Lehtonen,et al.  Interruption costs of service sector electricity customers, a hybrid approach , 2015 .

[4]  K. Samdal,et al.  Customer Costs Related to Interruptions and Voltage Problems: Methodology and Results , 2008, IEEE Transactions on Power Systems.

[5]  Aaron Praktiknjo,et al.  Stated preferences based estimation of power interruption costs in private households: An example from Germany , 2014 .

[6]  Peter Martinsson,et al.  Does it Matter When a Power Outage Occurs? - A Choice Experiment Study on the Willingness to Pay to Avoid Power Outages , 2008 .

[7]  Aaron Praktiknjo,et al.  Assessing energy supply security: Outage costs in private households , 2011 .

[8]  M. Thayer Contingent valuation techniques for assessing environmental impacts: Further evidence , 1981 .

[9]  B. N. Suddeth,et al.  Interruption costs, customer satisfaction and expectations for service reliability , 1996 .

[10]  John J. Boland,et al.  The benefits of environmental improvement : theory and practice , 1982 .

[11]  Customer Interruption Costs Estimations for Service Sectors via Customer Survey Method: A Case Study , 2013 .

[12]  H. Lydall The structure of earnings , 1969 .

[13]  Peter Martinsson,et al.  Willingness to Pay Among Swedish Households to Avoid Power Outages , 2005 .

[14]  Matti Lehtonen,et al.  A Novel Hybrid Approach to Estimate Customer Interruption Costs for Industry Sectors , 2013 .

[15]  Petr Mariel Chladkova,et al.  Choice experiment study on the willingness to pay to improve , 2009 .