A dynamic pricing approach to electricity prices in the Indian context

In this paper, we study the mechanism of dynamic pricing of electricity and its opportunities in the Indian context. We compare the economic efficiency of dynamic pricing vis-a-vis the traditional flat tariff of electricity. We analyse various ways in which dynamic tariff can be introduced in the electricity market and we show the Indian experience in this regard. We consider the state of Maharashtra, in particular, to understand how the time of day (TOD) pricing system has been introduced and how it is more efficient than the flat tariff approach. We develop a mathematical model using pseudo-real data (as per the advice of a renowned sector expert) to show how TOD tariff is more efficient than flat tariff and how real-time pricing (RTP) tariff is associated with the uncertainty of electricity bills. We further emphasise how the dynamic pricing system can be modified to increase its efficiency.

[1]  Santiago Grijalva,et al.  Modeling for Residential Electricity Optimization in Dynamic Pricing Environments , 2012, IEEE Transactions on Smart Grid.

[2]  Anjali A. Dharme,et al.  Time of Use pricing - India, a case study , 2009, 2009 International Conference on Power Systems.

[3]  Massoud Pedram,et al.  Demand-side load scheduling incentivized by dynamic energy prices , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[4]  Raimo P. Hämäläinen,et al.  Customer level analysis of dynamic pricing experiments using consumption-pattern models , 1995 .

[5]  Seoki Lee,et al.  Customers' perceptions of demand-driven pricing in revenue management context: comparisons of six tourism and hospitality industries , 2010 .

[6]  Goutam Dutta.  IFORS OR for Development Prize , 2001 .

[7]  Sanem Sergici,et al.  Household Response to Dynamic Pricing of Electricity - A Survey of the Empirical Evidence , 2010 .

[8]  Raj Chetty.  Residential time-of-use pricing : an econometric assessment. , 2009 .

[9]  Tongquan Wei,et al.  Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home , 2013, IEEE Transactions on Smart Grid.

[10]  Ahmad Faruqui,et al.  How Dynamic Pricing Can Save $35 Billion in Electricity Costs , 2007 .

[11]  Iee Whitepaper.  Moving Toward Utility-Scale Deployment of Dynamic Pricing in Mass Markets , 2009 .

[12]  W. Hogan.  Fairness and Dynamic Pricing: Comments , 2010 .

[13]  S. Borenstein,et al.  Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets , 2002 .

[14]  A. Faruqui,et al.  Quantifying Customer Response to Dynamic Pricing , 2005 .

[15]  S. Ghosh,et al.  Consumer profiling for demand response programs in smart grids , 2012, IEEE PES Innovative Smart Grid Technologies.