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Do rural residential consumers cross subsidize their urban counterparts? Exploring the inequity in load shedding among metros, towns and villages Santosh M. Harish and Rahul Tongia santosh.harish@povertyactionlab.org / rtongia@brookingsindia.org


  1. Do rural residential consumers cross ‐ subsidize their urban counterparts? Exploring the inequity in load shedding among metros, towns and villages Santosh M. Harish and Rahul Tongia santosh.harish@povertyactionlab.org / rtongia@brookingsindia.org Brookings India Working Paper 04 ‐ 2014 Department of Engineering and Public Policy, Carnegie Mellon University

  2. Research Questions 1. How do load shedding schedules in metro, small town and rural feeders compare? 2. Are tariff differences an adequate explanation for the load shedding disparity? 3. Is uninterrupted, but current limited, supply viable? 2

  3. Why should we frame this in terms of cross ‐ subsidies? • Claim: Favorable treatment for the metros is necessary – Supply deficits exist – Costs of supply: higher in rural areas, than in urban – Revenues: lower in rural than in urban, because tariffs and consumption levels are lower – Distribution utility needs to be financially viable Q: Does the relief provided by load shedding rural consumers more than compensate for tariff subsidies they receive? • Claim: Tariff differences between rural and urban residential consumers introduced to reflect poorer supply – Tariffs are lower because the supply is poorer, not the other way round Q: Do the tariff differences sufficiently account for the differences in supply? 3

  4. Data source • Karnataka Supervisory Control and Data Acquisition (SCADA) systems, courtesy KPTCL • Nature of data – Minute ‐ wise details on consumption and supply for every 11kV feeder • Geographical region and dates – 9 days (3 each from Sep ‘12, Dec ‘12 and April ’13) of data from Chitradurga ‐ Tumkur zone, and NRS substation ‘representative’ from Bangalore Metropolitan zone – Entire BESCOM area for 3 days (1 each from Sep ‘12, Dec ‘12 and April ’13) – Additional validation using HESCOM data from Sep ‘12 and Dec ‘12 4

  5. BESCOM zones and districts covered Chitradurga ‐ Tumkur zone : Davanagere, Chitradurga, Tumkur Bangalore rural zone : Bangalore rural, Kolar, Chickballapura Bangalore metropolitan zone : Bangalore urban 5

  6. The many kinds of subsidies Consumer Number of Total cons. Average Revenue/ Revenue category consumers (MU) monthly month/ per unit cons. (kWh) consumer (Rs.) (Rs./kWh) Rural- poorest 0.7 million 110 13 # 65* 5 * Bhagyajyothi Irrigation pump- 0.7 million 4,300 530 # 700* 1.3 * sets (<10HP) Rural residential 1.6 million 550 28 92 3.4 Urban 4.2 million 5,600 110 470 4.3 residential 0.8 million 1,800 (U) 210 (U) 1,600 (U) 7.6 (U) LT Commercial 100 (R) 90 (R) 660 (R) 7.3 (R) HT Industrial 4,900 5,800 100 ,000 600 ,000 6 HT Commercial 4,800 3,900 68 ,000 540 ,000 8 # - Not always metered, and hence presumptive *- Subsidized by Government of Karnataka 6

  7. Supply availability in BESCOM feeders Rural Non Bangalore urban Bangalore urban 24 20 16 Hours of 12 supply over 8 24 hours 4 0 Sep 26, ‘12 Dec 26, ‘12 Apr 15, ‘13 1 2 3 4 3 Hours of supply in the 2 evening (6 ‐ 10 PM) 1 0 Sep 26, ‘12 Dec 26, ‘12 Apr 15, ‘13 1 2 3 7

  8. Estimating the shed load 5 • Evenings only 2 phase 3 phase 1 phase 3 phase Power consumed G. Hosahalli 4 – Peak for both rural 3 (MW) and urban domestic 2 1 • Interpolation to 0 estimate load shed 0 2 4 6 8 10 12 14 16 18 20 22 Time of day 5 Power consumed (MW) 2 phase 3 phase 1 phase 3 phase • Only single phase Singadahalli 4 consumption 3 – No pump ‐ sets 2 1 0 0 2 4 6 8 10 12 14 16 18 20 22 Time of day These are rural feeders in Gubbi Substation, Sep 26 2012 8

  9. Estimated evening demands and load shed (in MWh) 46% 42% 38% 7% 8% 8% 13% 21% 18% 4000 Rural 3000 (single phase 2000 only) 1000 0 Sep 25 Sep 26 Sep 27 Dec 25 Dec 26 Dec 27 Apr 14 Apr 15 Apr 16 Non 38% 36% 21% 8% 13% 11% 16% 21% 19% Bangalore 1000 urban 0 Sep 25 Sep 26 Sep 27 Dec 25 Dec 26 Dec 27 Apr 14 Apr 15 Apr 16 5000 5% 5% 3% 1% 1% 1% 10% 13% 12% 4000 Bangalore 3000 urban 2000 1000 0 Load shed Sep 25 Sep 26 Sep 27 Dec 25 Dec 26 Dec 27 Apr 14 Apr 15 Apr 16 Consumption 9

  10. Framing the “cross ‐ subsidy” Tariff based transfers Load shedding based transfers Consumptions are known Load shedding levels known • • Estimate common tariff structures Estimate unrecovered costs if rural • • which are revenue neutral, and and non Bangalore urban account for the higher costs of supply consumers are load shed at the in rural areas Bangalore urban level Function of consumption and Function of loads shed, • • difference between regular and procurement costs at peak and common average tariffs marginal tariffs 10

  11. Calculating tariff subsidies Rural Urban Number of consumers (million) 1.6 4.2 Average monthly consumption (kWh) 28 97 For the first kW 15 25 Monthly fixed charges (Rs.) Every additional kW 25 35 Approved 0 ‐ 30 kWh 2.4 2.5 tariffs for 31 ‐ 100 kWh 3.4 3.7 2012 ‐ 13 Variable charges (Rs./kWh) 101 ‐ 200 kWh 4.55 4.85 >200 kWh 5.35 5.85 At approved tariffs for 2012 ‐ 13 3.5 (R) 4.2 (U) Step 1: If rural households paid urban tariffs 4.1 “ Average revenue Step 2: Adjusting the common tariffs so that 4.0 (R’) 4.1 (U’) per unit total revenue is unchanged* Rs./kWh # Step 3: Accounting for higher distribution 4.2 (R’’) 4.1 (U’’) losses in rural feeders Tariff subsidies to rural consumers = R’’ – R = Rs. 0.7/ kWh Tariff subsidies from urban consumer = U – U’’= Rs. 0.1/ kWh # ‐ All calculations based on D21 sheet of BESCOM’s filings to KERC and inputs therein 11 * ‐ Both revenues from fixed and variable charges are kept unchanged

  12. Calculating load shedding transfers Cost of procuring “Unsubsidized” ‐ (Actual load shed – and supplying Marginal (1 ‐ frac non ‐ domestic* ) BU load shedding level) Load shed relief from a x x peak power tariff % MWh given feeder category = Rs./MWh (Rs./ consumer ‐ day) Total number of domestic consumers in the feeder category (i.e. R/BU/NBU) *Non ‐ domestic consumers here include Bhagyajyothi households and commercial consumers This is calculated for the 9 days for which we have data • Annual estimates are then made by mapping all the days in the year into one of • these 9 ‐ day types based on state level demand and load shedding as per KPTCL Total load shed Evening load shed 25% 20% Load 15% shed 10% % 5% 0% 12

  13. Rural ‐ urban transfers for the 9 days Sep ’12 Dec ’12 April ’13 Load shed (%) 37 ‐ 45 8 ‐ 9 13 ‐ 21 Tariff transfer ‐ 0.2 to ‐ 0.3 ‐ 0.4 ‐ 0.2 to ‐ 0.3 Rural (Rs./consumer ‐ day) Load shed transfer +2.6 to +3.8 +0.5 to +0.6 +0.2 to +0.4 (Rs./consumer ‐ day) Load shed (%) 26 ‐ 36 7 ‐ 11 16 ‐ 21 Non ‐ Tariff transfer +0.05 to +0.06 +0.06 +0.05 Bangalore (Rs./consumer ‐ day) urban Load shed transfer +1.2 to +2.3 +0.4 to +0.6 +0.3 to +0.5 (Rs./consumer ‐ day) Load shed (%) 16 ‐ 22 4 ‐ 7 10 ‐ 13 Tariff transfer Bangalore +0.05 +0.04 +0.04 (Rs./consumer ‐ day) urban Load shed transfer ‐ 1.4 to ‐ 2.1 ‐ 0.3 to ‐ 0.4 ‐ 0.1 to ‐ 0.3 (Rs./consumer ‐ day) ‘+’ transfer from category ‘ ‐ ’ transfer to category Net transfer from category Net transfer to category 13 Ranges in values are due to the three days for which the calculations are made

  14. Annually, who subsidizes whom? Annual load shed transfer Annual net transfer (Rs./residential consumer ‐ (Rs./residential consumer ‐ Classification criteria for year) year) weighting Non Bang Bangalore Non Bang Bangalore Rural Urban urban Rural Urban urban Unscheduled and scheduled +240 +200 -140 +120 +220 -120 evening load shed Total unscheduled and scheduled +230 +200 -140 +120 +220 -120 load shed in 24h Unscheduled and scheduled load +320 +260 -190 +190 +280 -170 shed and demand ‐ evening Total load shed and demand in +510 +350 -290 +380 +370 -270 the evening + transfer from category ‐ transfer to category The results vary depending on the criteria used to categorize the days of the year, but the conclusion remains the same : Net positive transfer from rural and non Bangalore urban, net negative from Bangalore urban 14

  15. Results are sensitive to procurement costs ‐ but the direction of net transfers is robust 400 300 Rural 200 100 0 Net transfer ‐ 100 Rs./cons. ‐ year ‐ 200 Bangalore urban ‐ 300 ‐ 400 4 6 8 10 12 Cost of procuring peak power (Rs./kWh) + transfer from category ‐ transfer to category The results vary depending on the criteria used to categorize the days of the year, but the conclusion remains the same : Net positive transfer from rural and non Bangalore urban, net negative from Bangalore urban 15

  16. Putting the transfers in perspective • Annual load shedding transfers of Rs. 240 ‐ 510/ rural consumer – On average, 20 ‐ 44% of annual electricity expenditure • Net transfers in terms of annual electricity expenditure – 20 ‐ 60% for the poorest three rural deciles – 10 ‐ 36% for the richest three rural deciles • Not just rural ‐ urban disparity, but the load shedding is regressive and impacts rural poor disproportionately • Kerosene expenditure for the poorest 30% of the population is on average equal to 85% of their electricity expenditure 16

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