Under dynamic pricing, customers pay different prices at different times – prices that, at least in theory, reflect system conditions. This contrasts with “flat rate” pricing, under which customers pay the same price for each kilowatt-hour they consume power, without regard to the time of day or electric system conditions,
Supporters of dynamic pricing claim these programs have the potential to save customers money and reduce utilities' costs. Dynamic pricing advocates say consumers generally will adjust their use of power if they are equipped with information about the true cost of their energy. And if people are financially incented to reduce consumption during peak periods (the argument goes), this lessens both utilities’ needs to build costly new power plants to cover times of peak energy demand and their overall emissions of greenhouse gases.
Conversely, consumer advocates tend to take a more cautious view, fearing that utility customers who sign up for dynamic rates without knowing how to take advantage of them – for example, those lacking the education or skills to correctly read and incorporate smart meter information or those unable to afford smart appliances – could end up paying more for their power than under the present flat rate regimes.
Concerns over the impact of dynamic pricing on low income customers led to the moratorium on smart meter installation earlier this year in the Australian state of Victoria (see Post # 11). Likewise, the impact of dynamic pricing has been a concern of consumer advocate in states such as California as utilities have begun to install smart meters, see here and here, as well as Post # 25 on the BGE smart meter decision in Maryland.
- Will this combination of smart meter “discounts” and “penalties” change consumer behavior, and to what degree?
- Will those consumers adept at using their smart meters to manage the time periods they purchase power actually be subsidized by those consumers who lack that ability or inclination?
- Will time-differentiated rates lead to reductions in AEP’s generation during traditional peak periods?
- To what extent should the results of this pilot rate program serve as a metric for regulatory decisions aboutmandatory dynamic pricing?