Sanem Sergici

Federal and state regulators play a critical role in the evolution of the smart grid. Lawmakers face a host of questions, from deciding who owns consumer data and how it can be used, to defining a new range of regulated and unregulated utility services and applications. How much regulation will be needed to manage the transformation to a smart grid? And how much regulation will be too much?

Are residential time-of-use prices only effective for middle class households, or do low-income customers benefit too—as authors Lisa Wood and Ahmad Faruqui asserted in their October 2010 article? Data from pilot programs show that low-income customers exhibit a reduced ability to benefit from dynamic pricing. Demand response programs should accommodate the realities of low-income customers’ consumption patterns.

Customer value is a key factor in any smart grid business case. But not all customers are created equal. In particular, commercial and industrial (C&I) customers have greatly different needs, considerations and sensitivities, compared to residential customers. As a result, demand response and efficiency programs won’t produce the same results across customer classes. Getting the most from the C&I market will depend on integrating smart grid with smart building technologies.

FERC has proposed that wholesale energy markets should subsidize load reductions with full LMP (locational marginal price), without deducting the customers’ retail savings. Such a policy could distort the market, and other solutions might achieve the same objectives more efficiently.

Pilot projects are demonstrating the potential of smart metering and smart rates to make the most of supply and demand resources. But as empirical studies show, not all pricing designs are equally suited to every region.