Effects on Electricity Markets of a Demand Response Model Based on Day Ahead Real Time Prices: Application to the Colombian Case


This paper presents an alternative methodology, based on a cost optimization model, for evaluating some effects of the implementation of an alternative Demand Response (RD) program based on Day Ahead Real-Time Pricing (DA-RTP) in electricity markets. The proposed methodology has three special characteristics: the first one is to assume that users can modify their consumption patterns without altering the quantity demanded daily; second one, users flexibility to shift demand between hours depend of the kind of user and the time (peak vs off peak hours); finally, consumers have limited capability to shift demand outside of certain periods withing the day. The model is tested with a simulation exercise for the Colombian electricity market. The results show a significant improvement in system and market performance, including consumer savings, a flattened load curve, and reduced operational risk in the system. © 2003-2012 IEEE.


Palabras clave

Commerce, Costs, Electric power transmission networks, Mathematical programming, Smart power grids, Consumption patterns, Day-ahead real-time pricing, Demand response, Market performance, Operational risks, Real time pricing, Simulation exercise, Smart grid, Power markets