Benchmark Regulation and Efficiency of Electricity Distribution



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Pontificia Universidad Católica de Chile Departamento de Ingeniería Eléctrica Benchmark Regulation and Efficiency of Electricity Distribution Hugh Rudnick Bundesnetzagentur Conference Bonn, 25-26 April 2006

Objective Share the experience of Latin American countries that, from 1982 onwards, reformed their electricity power sectors to establish conditions of economic efficiency and attract private investment, replacing central planning and control by market oriented approaches. Competition was introduced in generation and pseudo competition in transmission and distribution. Share the characteristics of benchmark yard stick regulation for distribution, with analytical cost models, model company and model network concepts, used in Chile, Argentina, Peru and others.

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

The building of the price for the final consumer Generation and transmission systems Distribution systems MgC Tx STx MgC P generation + cost Tx + cost STx P generation + cost Tx + cost STx +cost Dx

Electricity cost Industrial consumer 7000000 Chilean Pesos 6000000 5000000 4000000 3000000 2000000 1000000 0 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 Year Energy cost Distribution cost

Electricity cost Residential consumer 7000 Chilean Pesos 6000 5000 4000 3000 2000 1000 0 199 1993 1994 1995 1996 1997 1998 1999 2000 2001 Year Energy cost Distribution cost

Market reforms: benefit final consumer Market environment MgC Tx STx MgC Monopolistic activity (stimulate efficiency through regulation) P generation + cost Tx + cost STx +cost Dx

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Price regulation objectives for monopoly Strategic objectives -avoid loses of monopoly prices -avoid individual tariff considerations -provide -economic efficiency signals for operation and investment -flexibility and stability -adequate response to market changes -symmetry of risks and opportunities for the regulated agent Prices must be fixed considering -cost of service provision -reflect to the consumer the supply cost structure -adequate return to investment capital -incentives for cost reduction

Distribution monopoly regulation Requirements -concession required to run the business -public service activity -obligation to serve -open access to wires -quality of service regulated Rights -concession granted for the right to use public roads and private grounds with compensation -realistic price regulation considering restrictions -adequate return to investment capital, if efficient -higher efficiency rewarded

Regulatory Models All models to regulate industrial monopolies consider fixing initial prices and adjusting them with time. P f(p' ) + Z = o t t P t Initial Price Annual adjustment factor Adjustment Price in year t

Regulatory Models Fixing initial prices From what are the costs? to what they should/could be? Based on real costs, standardised ones, efficient ones? Adjustment with time Regulatory models adjust prices on a yearly bases, given parameter changes or incentive needs Based on inflation, efficiency increases?

Regulatory Models Cost Plus (Cost based) Regulation recognize real costs and determine required rent, no incentives to reduce costs Incentive Regulation - Price Cap bridge between traditional regulation and deregulation costs fixed and reduced over time (productivity index RPI-X) Model Company or Yardstick Competition possibility to compare costs of different similar companies- introduction of concept of a model company

Model Company or Yardstick Competition P(q) Average cost Inefficient company Model company High efficient company Quantity Comparison of different companies achieved through identifying different distribution areas Models determined for each area, tariffs different for each area q

Challenges -definition of efficient investment and administration -manage information deficiencies -regulator independent from monopoly pressure (avoid capture) -need to consider reliability and quality of supply Risks -conflictive interests between regulator and monopoly -regulator manipulating model company with other objectives

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Process of electricity distribution Investment planning Network construction System operations System maintenance Business management Identify new system needs. Develop plans to satisfy need. Facilitate plans and budgets. Assess large projects. Build lines, substations, low voltage networks. Connections & disconnections Follow up and control of system operations Correct damages & incidents. Maintenance of lines, substations and low voltage networks. Maintenance of protection equipment. Measurement, meter reading Billing Contracts Solution management.

Cost components in added distribution value Distribution Value Added Fixed costs Investment costs, Operation & Maintenance Distribution losses Meter reading Billing Distribution of bills Accounting related to client Bill follow up Client relation Other fixed costs related to client. High Voltage Feeders Control equipment. Protection equipment. Capital costs Low Voltage Distribution substations Low voltage networks Protection equipment Operational costs HV LV Technical losses Other losses Storage Workshops Labs and tools Operational engineering Transport Security Rent, insurance Network maintenance and operation Patents and property taxes

Characteristics of distribution costs Cost of distribution dictated by capacity requirements (demand defines network dimensioning, thus defines investment and operation) Energy only important given network losses Important economies of scope (the higher the load density, the lower the unit costs) Marginal cost of distribution equal to average costs (except for high density)

Distribution characteristics Total monthly costs semi urban area, Chile, 1988 Average value 10,2 US$/kW/month Total cost (MUS$/Month 1800 1600 1400 1200 1000 800 600 400 200 0 0 50 100 150 200 Maximum demand (MW)

Distribution characteristics Total monthly cost rural area, Chile, 1988) Average values 13,8 US$/kW/month 700 Total cost (MUS$/Month) 600 500 400 300 200 100 0 0 10 20 30 40 50 Maximum demand (MW)

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Cost structure for distribution Cost = Investment annuity + Operation kw HV + kw LV + Losses Replacement cost concept for investment. Investment annuity considering useful life of installations and given return rate. Econometric models are built to represent the industry costs, with a log-log regression between the average cost per km*kw and the km*kw, for high voltage and low voltage. Following examples represent Chilean distribution industry.

Distribution characteristics Relation between unit costs HV and the product kmhv*(kwhv+kwlv) 2 1 0 ln(cost HV per kw*km) (m$/kw/km) -1-2 -3-4 -5-6 -7 0 5 10 15 20 25 ln(kw*km) Cost HV ( ) A km ( kw + kw ) HV HV LV ln = km kw + kw e HV HV LV ( ( ) ) + B

Distribution characteristics Relation between unit cost LV and the product kmlv*kwlv 4 3 2 ln(cost LV per kw*km) (m$/kw/km) 1 0-1 -2-3 -4-5 -6 0 5 10 15 20 25 Cost LV A = km kw ln e LV LV ln(kw*km) ( ( ) ) km LV kw LV + B

Investment (VNR) and operation cost (Cexp) for 12 of the 39 companies considered

Physical parameters: Iength of HV and LV networks, kw demand HV and LV

Structure of yardstick competition Industry segmentation -companies are grouped according to similar distribution costs, considering a maximum deviation -segments are identified Reference company is chosen for each segment -cost close to the group average -representation coverage -existence of previous studies Efficiency distribution costs determined for each segment -global industry check up Tariffs set every four years -indexation

2004 Chilean study Segments and model company Area 1: Area 2: Area 3: Area 4: Area 5: Chilectra Río Maipo, Emelat, CGE, Luzandes, Puente Alto, Eliqsa, Elecda, Conafe, Coop. Curicó. Chilquinta, Emelari, Edelmag, Emec, Emelectric, Energía de Casablanca, Saesa. Elecoop, Colina, Edelaysen. Til Til, Luzlinares, Emetal, Litoral, Frontel, Luzosorno Area 6: Emelca, Luzparral, Socoepa, Codiner, Coopelan, Copelec, Coelcha, Cooprel.

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Building the efficient company Efficient network -Low voltage network design -Distribution transformer sizing -High voltage network design Efficient infrastructure (buildings and facilities) Efficient management Energy and capacity balances Loss calculations Use of geographical information - GIS based

LOW VOLTAGE NETWORK DESIGN Based on identification of families of cells, electric project for sample ones, extrapolation to universe 500*500 meter cells

Conductor and transformer selection Objective function -minimize present value of investment, losses and depreciation. Parameters (2004) Value Unit Description N 15 Years Study horizon Td 10 % Return rate Tc 0 a 3 % Demand growth rate ρ E 18,55 $/kwh Energy price ρ P 5.523,36 $/kw Capacity price

Transformer selection Proyectos Transformadores 3F de 12 kv 14000 12000 10000 VAN [M$] 8000 6000 4000 2000 10 kva 15 kva 30 kva 45 kva 75 kva 100 kva 150 kva 300 kva 500 kva 0 1 26 51 76 101 126 151 176 201 226 Demanda Inicial [kva] VAN i = N k= 0 INV i k + CPT i k+ 1 (1 τ) ( 1+ Td) k DEP i k+ 1 τ

Conductor selection 5000 Proyectos Conductores Aluminio Desnudo 4500 4000 VAN [M$] 3500 3000 2500 2000 70 mm² 120 mm² 240 mm² 300 mm² 1500 1000 500 0 1 26 51 76 101 126 Demanda Inicial [Amp] VAN i = N k= 0 INV i k + CPT i k+ 1 (1 τ) ( 1+ Td) k DEP i k+ 1 τ

HIGH VOLTAGE NETWORK DESIGN Based on computer model (Peco)

Santiago high voltage network (12 and 23 kv)

Summary of High Voltage distribution per company Items Unit Quantity Value M$ 1.- AÉRIAL NETWORK 1.1 Km network km 1.2 Poles c/u 1.3 Structures c/u 1.4 Electric equipment c/u 1.5 Ground connections c/u 1.6 Others c/u Total Aerial 2.- UNDERGROUND NETWORK 2.1 Km network km 2.2 Vaults c/u 2.3 Canals c/u 2.4 Electric equipment c/u 2.5 Ground connections c/u 2.6 Others c/u Total Underground Total Company

Quality of service requirements Interruption indexes Urban Rural Interruption average frequency per transformer (FMIT) 5,0 times a year 7,0 times a year Interruption average frequency per kva, (FMTK) 3,5 times a year 5,0 times a year Total interruption time per transformer, (TTIT) Total interruption time per kva, (TTIK) 22 hours a year 13 hours a year 28 hours a year 18 hours a year Penalties Compensations to consumers based on value of non served energy

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Cost reductions (Chile) Evolution Low Voltage Cost Area 1 Pesos of July 2004 9.000 $/kw/month 8.000 7.000 6.000 5.000 4.000 3.000 2.000 1.000 0 1984 1988 1992 1996 2000 2004 Year

Loss reductions technical and non technical Chilectra (Santiago, Chile) Edesur (Buenos Aires, Argentina) % 30 25 20 15 10 19,8 18,8 16,1 13,6 13,3 12,0 26,0 10,6 21,9 9,3 16,2 12,5 9,3 5 0 1987 1988 1989 1990 1991 1992 1993 1994 1995

Loss reductions (Peru) 25% 20% 15% 13.9% 15.4% 18.2% 21.8% 20.6% 19.7% 17.1% 14.6% 12.4% 11.8% 10% 5% 0% 90 91 92 93 94 95 96 97 98 99 E. Zolezzi, CTE, Oct. 99

Clients per worker (Chile) 4000 3500 3000 Chilectra RioMaipo Clients/Worker 2500 2000 1500 1000 500 0 1992 1993 1994 1995 1996 1997 Year 1998 1999 2000 2001 2002 CGE Emelari Eliqsa Conafe Emelectric Emelat Litoral

Supply coverage (Peru) 4.0 80% 3.5 70% 3.0 2.5 2.0 1.5 1.0 60% 50% 40% 30% 20% 0.5 0.0 0% 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 Millones de Clientes Coeficiente de Electrificación (%) Clientes CE 10% Clients increase 77% from 1992 to 2001 Ref: PA Consulting Group

Costs as determined by parties involved 120.000 Chile results 2000 - HV cost ($/KW/year) 100.000 80.000 60.000 40.000 20.000 0 regulator companies result 1 2 3 4 5 6 Typical area

Returns of distribution companies (Chile) 35,000% 30,000% % 25,000% 20,000% 15,000% 10,000% CGE RIO MAIPO CHILECTRA EMELECTRIC ELIQSA EMELARI CONAFE EMELAT LITORAL 5,000% 0,000% 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 Year

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

New methods to determine efficiency 1968 Econometric methodology (introduction of deterministic frontier models) 1977 Stochastic frontier models and stochastic frontier analysis (SFA). 1978 Data envelopment analysis (DEA) with linear programming technique. -establish which companies of a sample determine the envelopment area or efficient production frontier. The radial distance of a company to the frontier provides the efficiency measurement. Therefore, companies that are on the frontier (the ones that determine it) are considered efficient, while the ones that are far from the frontier are considered inefficient. 2003 DEA and Distribution Value Added

SEVERAL VARIABLES CONSIDERED IN RESEARCH Variables Sigla Unidad Valor Neto retornable total VNRT m$* Valor Neto retornable alta tensión VNRAT m$* Valor Neto retornable baja tensión VNRBT m$* Costos de explotación** CEXPLT m$* Costos de explotación alta tensión CEXPLAT m$* Costos de explotación baja tensión CEXPLBT m$* Energía comprada ECOMP kwh Energía vendida total EVENDT kwh Energía vendida en alta tensión EVENDAT kwh Energía vendida en baja tensión EVENDBT kwh Número de comunas NCOMU Número de clientes NCLTS Longitud total de líneas KMT Km Longitud de líneas en alta tensión KMAT Km Longitud de líneas en baja tensión KMBT Km Potencia total coincidente KWT KW Potencia total coincidente en horas de punta alta tensión KWAT KW Potencia total coincidente en horas de punta baja tensión KWBT KW Número de trabajadores NTRAB Remuneraciones anuales REMUN m$* Bienes muebles e inmuebles BMI m$* Costo por compra de energía y potencia CCOMP m$* Costos por pérdidas de energía y potencia*** CPERD m$* * : Miles de pesos del 31 de Diciembre de 1999 ** : No considera los costos por compra de energía y potencia *** : De acuerdo a precio monómico definido por la CNE

VARIABLES UTILIZED IN DEA MODEL Inputs min θ p n subject to: θ x λ x 0 i = 1, 2,...,m p ip j ij j= 1 n y + λ y 0 k = 1, 2,...,s kp j kj j= 1 λ 0 j = 1, 2,...,n j Outputs VADT (1), (2), (3) EVEND (1), (2), (3) KM T (1), (2), (3) KWT (1) ENFAC (3) NCLTS (1), (2), NTRAB (2), (3) SALARIO (2), (3) where θ p is the efficiency of the electrical distribution company under evaluation

VAD EFFICIENCY RESULTS Empresa Cod. SEG. Modelo 1 θ Modelo 2 θ Modelo 3 θ EMELARI 1 67.09 70.56 83.13 ELIQSA 2 60.54 80.68 100.00 ELECDA 3 79.71 98.85 99.96 EMELAT 4 46.97 43.83 87.51 EMEC 5 35.30 38.79 65.51 CHILQUINTA 6 60.86 45.65 51.42 CONAFE 7 54.66 62.88 100.00 EMELCA 8 56.39 95.86 95.92 LITORAL 9 41.53 58.98 58.98 CHILECTRA 10 100.00 100.00 100.00 RIO MAIPO 11 84.96 100.00 100.00 COLINA 12 96.39 70.68 95.69 TIL TIL 13 53.60 53.61 55.24 PUENTE ALTO 14 85.89 85.89 85.89 LUZANDES 15 100.00 100.00 100.00 PIRQUE 16 56.89 100.00 100.00 EMELECTRIC 17 26.63 44.32 45.83 CGE 18 49.59 68.04 100.00 COOPELAN 21 22.32 49.44 49.81 FRONTEL 22 19.46 37.13 42.52 SAESA 23 29.08 59.69 70.16 EDELAYSEN 24 44.66 55.15 57.01 EDELMAG 25 58.07 61.39 100.00 CODINER 26 23.92 71.49 71.77 ELECOOP 27 30.42 98.61 98.61 EDECSA 28 53.18 100.00 100.00 COOP CURICO 29 28.91 81.29 81.96 EMETAL 30 16.21 96.27 96.27 LUZLINARES 31 21.11 50.76 55.14 LUZPARRAL 32 21.57 100.00 100.00 COPELEC 33 17.77 30.92 33.92 COELCHA 34 21.72 47.50 47.50 SOCOEPA 35 38.39 79.17 79.17 COOPREL 36 50.01 60.96 60.96 CREO 39 61.06 100.00 100.00

The importance of efficiency in distribution Regulating the monopoly The distribution activity- costs to consider Analytical models The building of an efficient company Results of incentive regulation Projections into the future (DEA, SFA, etc.) Other elements of regulation

Other elements Transmission and sub transmission networks -efficient replacement value -efficient model company -centralized transmission expansion -tariffs set every four years, indexation Competitive gas supply wit no price regulation -natural gas competing with bottled liquefied gas -only security and quality regulated -market power supervision

Hugh Rudnick Department of Electrical Engineering Pontificia Universidad Católica de Chile Santiago, Chile Email h.rudnick@ieee.org http://www.ing.puc.cl/power/