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The Q-Element in Incentive Regulation Challenges of Implementation

The Q-Element in Incentive Regulation Challenges of Implementation. Presentation at the 34 th IAEE International Conference (Session 57). Karolin Leukert Barbara Fischer. Outline. Motivation Incentive regulation and quality: A trade-off?

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The Q-Element in Incentive Regulation Challenges of Implementation

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  1. The Q-Element in Incentive RegulationChallenges of Implementation Presentation at the 34th IAEE International Conference (Session 57) Karolin Leukert Barbara Fischer

  2. Outline • Motivation • Incentive regulation and quality: A trade-off? • Challenges of implementing a «Q-Element»: Empirical evidence from Germany • Conclusions 34th IAEE - The Q-Element in Incentive Regulation

  3. Motivation • In incentiveregulationschemesofelectricitynetworkssoonerorlaterqualityissuesarebeingdiscussed • Most regulatorysystems in Europe startwithpriceorrevenuecapwithout an explicit considerationofqualityandimplementinstruments after thefirstregulatoryperiod (UK; NO; NL; G) • Central questions • Why ist qualityregulationneeded? • Whatareappropriateinstrumentstoensurereliability? • Whatarethechallengesofimplementingqualityregulation? 34th IAEE - The Q-Element in Incentive Regulation

  4. Outline • Motivation • Incentive regulation and quality: A trade-off? • Challenges of implementing a «Q-Element»: Empirical evidence from Germany • Conclusions 34th IAEE - The Q-Element in Incentive Regulation

  5. Cost-Quality-Relation: «Hysteresis problem» situation A costs short-run  direct cost effect situation B long-run  quality effect quality Incentive regulation and quality: A trade-off? Incentive Regulation: Setting targets for efficiency improvement cap costs/revenues investments Transfer to 2nd period? real costs/ revenues regulatoryperiod Trade-off 34th IAEE - The Q-Element in Incentive Regulation 5

  6. Instruments for incentives for investment and quality regulation • «Q-Element» based on quality indices with adjustment of cap (bonus or malus) • Direct payments to interrupted customers (service quality) Complemenatary instruments Main instruments • Stable and sustainable regulatory framework • Adequate return on investments (WACC) • Adjustment of revenue or price cap within a regulatory period in the case of investment activities • A robust benchmarking w.r.t. • the underlying cost basis (comparable capital costs) • quality of supply (no discrimination of DSOs with high reliability) 34th IAEE - The Q-Element in Incentive Regulation

  7. marg. utility marg. cost marg. utility customer a marg. utility customer b marg. cost DSO a marg. cost DSO b optimum 1 optimum 3 reliability optimum 2 optimum 4 What is the optimal level of reliability? • Different optimacallfor a differentiatedmechanismwithrespectto • qualityreferencevalues • bonus-malus-payments •  Challenge ofadjustingthesystem in ordertosetappropriateincentives 34th IAEE - The Q-Element in Incentive Regulation

  8. Outline • Motivation • Incentive regulation and quality: a trade-off? • Challenges of implementing a «Q-Element»: Empirical evidence from Germany • Conclusions 34th IAEE - The Q-Element in Incentive Regulation

  9. Germany: Planned quality regulation • Regulatory Framework: revenuecap 2 periods à 5 years • «Q-Element» as a bonus-malus-mechanismtotherevenuecap will beimplementedby 2012 • SAIDI (min/customer/year) asthe relevant qualityindex (averageof3 years, composedof 50% planned/100% unplannedinterruptions) • Company specificreferencevalues(medium voltage) accountingforstructrualcharacteristics • Monetarisationby uniform rate per min/customer/year (VOLL) based on a macroeconomicapproach (18 cent/min) • Challenges: • Definingthe relevant functional form forexplainingthe SAIDI • Appropriatemonetarisation 34th IAEE - The Q-Element in Incentive Regulation

  10. Emprical results: SAIDI-Volatility 2007-2009 PreliminaryResults High volatility of SAIDI over the years (indep. of absolute SAIDI-level)  average should be taken to capture stochastic influences  German regulator plans a 3-year-average SAIDI MV: Deviationsfromthemean in % SAIDI-data of 113 German DSO for 2007-2009, sorted acending by absolute SAIDI median: -6.14 min/customer/a; std. dev. 20.52 min/customer/a 34th IAEE - The Q-Element in Incentive Regulation

  11. Empirical results: Structural differences PreliminaryResults Kruskal-Wallis- and Kolmogorov-Smirnov-Tests for SAIDI-differences w.r.t structural characteristics show significant differences between different predefined groups frequency in % groupedbysharecables/total linelength SAIDI MV in min/a/cust frequency in % groupedbycustomerdensity SAIDI MV in min/a/cust. 34th IAEE - The Q-Element in Incentive Regulation

  12. Emprical results: Functional form PreliminaryResults Large sizenetworks Small sizenetworks Medium sizenetworks Predictionload density^1 Predictionload density^0.8 Predictionload density^0.5 Example 1: load density 0.02 MW/km2 difference between functional form (^1 und ^0.8) 14.5% (=15 min) Example 2: load density 2.6 MW/km2  Difference between functional form (^1 und ^0.8) 30% (=1.6 min) SAIDI MV in min/customer/a loaddensity MV in MW/km2 (load/geographicalarea) 34th IAEE - The Q-Element in Incentive Regulation

  13. Empirical results: Bonus/Malus payments PreliminaryResults West East bonus/malus in % ofnetworkcosts DSO with low load density achieve higher shares of bonus or malus of network costs (average share bonus 0.7% and 0.9% malus) loaddensity MV in MW/km2 (load/geographicalarea) median malus/bonus in %: 0.86 / 0.68 34th IAEE - The Q-Element in Incentive Regulation

  14. Outline • Motivation • Incentive regulation and quality: A trade-off? • Challenges of implementing a «Q-Element»: Empirical evidence from Germany • Conclusions 34th IAEE - The Q-Element in Incentive Regulation

  15. Conclusions • Incentive regulation needs elements in order to set appropriate incentives for investment and a reliable energy supply • «Hysteresis problem» makes definition of adequate instruments challenging: • Long-run framework (WACC, cap-adjustment for investments) • Short-run complementary elements (Q-Element, service quality) • Different optimal cost-reliability levels make definition of «Q-Element» challenging: • Definition of a reference value (stochastic influences, structural characteristics, functional form) • Monetarisation for deviations from reference value • A «Q-Element» alone will not set sufficient incentives to invest in sustainable, long-run reliability improvements 34th IAEE - The Q-Element in Incentive Regulation

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