Integrating controllable demand into real-time, security constrained economic dispatch.
Historically, grid operators tapped into voluntary load reduction as a last resort for keeping the lights on. But now, smart grid technologies and dynamic pricing mechanisms bring vastly greater potential for using load as a dispatchable resource. Effective implementation requires advanced technologies—and also foresight in creating programs, policies, and market mechanisms.
Rising expectations in the Dog Days of summer.
Yet another sweltering summer is causing its share of outages and supply problems, with predictable backlash from customers and policy makers. And with the advances we’ve seen in recent years, perhaps again we should be asking whether we’re adequately focused on our most critical mission: keeping the power on.
Three CEOs, three business models, one shared outlook.
Cheap gas, regulatory uncertainties, and a technology revolution are re-making the U.S. utility industry. Top executives at three very different companies—CMS, NRG, and the Midwest ISO—share their outlook on the industry’s transformative changes.
The debate about freeridership in energy efficiency isn’t wrong, but it is wrongheaded.
In any conservation or efficiency program, some market participants will reap benefits without paying their share of the costs—i.e., the “freerider” problem. Some freeriders are unavoidable and generally not a problem. But as Cadmus Group analysts Hossein Haeri and M. Sami Khawaja explain, avoiding excessive freeridership requires careful program structuring, as well as ongoing measurement to accurately evaluate outcomes.
Identifying correlations between adoption rates and market factors.
Demand response—temporary changes to electric loads in reaction to conditions in the grid—has grown to become an important part of today’s power systems and a central component of the smart grid of the future.
Performance measurement and action steps for smart grid investments.
Regulators and customers are holding utilities’ feet to the fire, when it comes to investing in advanced metering and smart grid systems—and rightly so. Making the most of investments requires a systematic approach to establishing standards and monitoring performance. But it also requires policy frameworks and cost recovery regimes that provide the right incentives.
Can time-of-use rates drive the behavior of electric vehicle owners?
Time-of-use (TOU) pricing might seem like the ultimate solution to ensure electric vehicle charging loads won’t overburden the grid. But will TOU rates guide drivers’ behavior when it’s time to top up their batteries? Early indicators suggest the answer varies among vehicle owners and pricing plans.
When you sell demand response back to the grid, how much capacity are you now not buying?
When customers sell demand response into a regional capacity market (such as PJM’s Reliability Pricing Model, known as the RPM), how much credit should they earn for agreeing to curtail demand and alleviating stress on the grid — that is, for reducing the market’s need for generating capability and capacity reserve margin? And further, should the amount of credit depend on whether the customer works with market aggregators, known both as CSPs (“Curtailment Service Providers”) or ARCs (“Aggregators of Retail Customers”)? One view would pay customers for the full extent of their curtailment of demand — known as its “Guaranteed Load Drop” (GLD). The other would limit capacity credit to the customer’s prior load history — “Peak Load Contribution,” or PLC. The answer may well dictate whether regulators continue to treat “energy” and “capacity” as two distinct concepts.
Technology opens customers’ homes to utility services.
Advanced metering infrastructure and intelligent appliances are opening the door to a new market for utility services. But in-home services are a completely different ball game. Going beyond the meter will require utilities to transform the way they engage and serve customers.
Forecasting the geographic distribution of demand reductions. Copyright © 2011 Consolidated Edison Company of New York, Inc.
As new energy efficiency programs proliferate, regulators increasingly will seek to use the associated demand reductions to reduce capital expenditures on new transmission and distribution assets. However, forecasting the expected geographic distribution of these demand reductions within the grid and integrating this information into a utility’s capital planning process is a challenging task.