Knowledge Problem

Smart Grid Technology, Economics, and Policy (Part 1 of 5)

Lynne Kiesling

This week I’ll be writing a series of posts about smart grid technology, economics, and policy. The buzz around the idea of smart grid is palpable:  old companies like GE and new companies like Google are changing their business models to incorporate more smart grid activities and products, entrepreneurs are exploring new products and services at unprecedented rates, and federal legislation supports smart grid investments and proposes to direct $40 billion of taxpayer funding to smart grid investments under the “stimulus bill”. In fact, on Tuesday the Senate Committee on Energy and Natural Resources will have a hearing on smart grid initiatives and technologies. None of this is new to readers here, though, because for the past four years I have been working on smart grid economics and policy through my membership on the GridWise Architecture Council and through my participation in the GridWise Olympic Peninsula research; these activities have led to several smart grid posts at KP over the years.

What is the definition of smart grid, and what are its most important and relevant features? I encourage you to think of smart grid from two different directions simultaneously — its technologies and its functionalities. Technologically, a smart grid is a digital communication overlay and integration into the electric power network. This communication technology includes

These various smart grid technologies enable a variety of functionalities in the electric power network, such as

The integration of these technologies into the electric power network will embed distributed intelligence in the systems that the network comprises. Please note that when I refer to the grid or the electric power network I am including distributed human agents (and their private knowledge-preferences-intelligence) in the definition of the network, not just the physical assets.

The potential ways that smart grid capabilities can create value are large, and they transcend the traditional utility-provided “plain vanilla” electricity generation and delivery value proposition. By enabling better, and more decentralized, coordination of electricity supply and demand, smart grid functionalities contribute to the optimization of resource use in the entire electricity system. This optimization has both economic (cost reduction) and environmental (reduced resource use, reduced emissions) implications, which I’ll delve into later in the week. Note, though, that the distributed intelligence => decentralized coordination connection allows these economic and environmental benefits to converge. One example of this convergence is how dynamic pricing induces consumers to shift consumption away from expensive peak hours, which leads to a reduced need for expensive infrastructure investment that is built to meet peaks and then sits idle for 95 percent of the year. Avoiding that investment saves costs and saves resources.

Investments in smart grid technologies to achieve the functionalities that we want in the electric power network do not occur in an institutional vacuum, though. There are existing regulatory policies that serve as barriers to such investments, and the policy environment that affects who does (and who can, under regulation) make such investments is complicated because it is composed of federal, regional, and state policies. So we’ll discuss some of them this week; here’s my plan:

  1. Monday: introduction to smart grid
  2. Tuesday: a transactive smart grid — if a grid’s not transactive, it’s not smart
  3. Wednesday: intelligent end-use devices are going to be transformational
  4. Thursday: smart grid and renewables interconnection
  5. Friday: federal and state smart grid policy

If you are looking for background and useful introductions to smart grid ideas, I recommend these sources:

Tomorrow: if a grid is not transactive, it’s not smart

Other posts in this series: