Performance-based ratemaking ("PBR") is an approach to ratemaking designed to improve utility performance and streamline regulation. There are four well-established approaches. Targeted performance incentive mechanisms (“PIMs”) are designed to strengthen performance incentives in targeted areas using metrics and targets. Another kind of targeted incentive directly encourages preferred practices by such means as cost trackers and management fees. Revenue decoupling relaxes the link between utility revenue and system use, thereby encouraging utility conservation and peak load management initiatives. Multiyear rate plans typically involve a rate case moratorium and attrition relief mechanisms that provide automatic rate relief for changing business conditions between rate cases. These plans often include the other three kinds of PBR mechanisms. Cost containment is encouraged and ratemaking can be streamlined.
The PBR services of PEG encompass expert witness testimony, plan design, and research on related empirical issues. We maintain a large international library of PBR decisions.
We have developed an incentive power model to quantify the impact of alternative regulatory systems on utility cost performance. This model can be used to study the benefits of PBR.
Revenue decoupling is an approach to Altreg that has been used for more than three decades by North American utilities. In a revenue decoupling mechanism, rates are reset periodically to ensure that a company's revenue matches its revenue requirement. This makes utility finances less sensitive to the slowdown in use per customer that can accompany aggressive demand side management ("DSM") programs and growing distributed generation and storage ("DGS") on the customer side of the meter. Utilities are therefore more likely to embrace DSM and customer DGS. A well designed decoupling mechanism can help utilities avoid frequent rate cases that might otherwise be triggered by slow volume growth. The need for decoupling is especially acute when volume growth is slow but utilities are compelled to use historical test years in rate cases.
Revenue decoupling has been a major focus of our recent work. We have filed relevant testimony in proceedings leading to the approval of numerous decoupling mechanisms. A special strength is the design of broad-based revenue adjustment mechanisms ("RAM") that escalates the revenue requirement in the absence of a rate case. Five approaches to RAM design have been established.
MRPs are the most common approach to PBR around the world. An MRP features a moratorium on rate cases that typically lasts three to four years. An attrition relief mechanism ("ARM") adjusts rates or allowed revenue automatically to reflect inflation and other changes in business conditions. Some costs may be addressed separately using cost trackers. Most MRPs also include PIMs to balance incentives for cost containment with incentives to pursue other goals (e.g., reliability or energy conservation) that matter to customers and policymakers.
Some MRPs feature earnings sharing mechanisms that share surplus and/or deficit earnings between the utility and customers when the rate of return on equity deviates from its target. Plans may also feature an efficiency carryover mechanism that incentivizes long term performance gains and discourages the opportunistic timing of expenses by permitting the utility to keep a share of cost savings (or absorb a share of high costs) if rates are trued up to cost at the end of the plan.
Several approaches to the design of ARMs are well established.
•An index-based ARM is developed using industry price and productivity research and can be calibrated to produce superior returns for superior productivity growth. This approach was developed in the United States but is more popular today in Canada and some countries overseas (e.g., New Zealand).
•A stairstep ARM increases revenue by a certain percentage each year, with the percentages set in advance. Allowed revenue then has a stairstep trajectory. This is currently the most popular approach to ARM design in the United States.
•Two hybrid approaches to ARM design have been widely used. In North America, revenue for O&M expenses is indexed, while that for capital cost has a stairstep trajectory. This approach to ARM design was developed in California. In Britain, a multiyear cost forecast is approved and a revenue cap index is chosen that yields equivalent net present value.
MRPs have been especially popular in North America historically where utilities need marketing flexibility since infrequent rate cases lessen concerns about cost allocations and cross-subsidies. Such plans have helped railroads, oil pipelines, and telecommunications utilities provide complex arrays of services to markets with diverse competitive pressures from common sets of assets. MRPs are also favored for energy distributors in most populous provinces of Canada and are increasingly popular for gas and electric utilities in the United States.
Recent developments have increased the potential usefulness of MRPs in the US.
•Slower volume growth due to conservation, slow economic growth, and increased distributed generation has reduced the "gravy" many utilities relied on in the past to help finance cost growth.
•Natural gas-fired and wind-powered technologies have replaced solid-fuel technologies as the low cost choice for incremental generating capacity.
•Vertically integrated electric utilities need fewer plant additions, and those that they do need are smaller than in the past.
•Some utilities are engaged in accelerated modernization of distribution systems that involve elevated levels of capital expenditures for several years.
•Diffusion of "smart grid" technologies creates opportunities for new products and services.
•Some customers will pay a premium for better quality service.
Under cost of service regulation, utilities will respond to these conditions by filing rate cases more frequently and requesting additional marketing flexibility. Frequent rate cases raise regulatory cost and weaken utility cost containment incentives. The recurrent issues of cost allocation and cross-subsidies will incline regulators to discourage desired marketing flexibility. In a prior period of frequent rate cases, in the 1970s and 80s, the productivity growth of US energy utilities slowed markedly.
Overseas, the privatization of many utilities in the last 20 years has forced governments to choose a regulatory system. The majority have chosen MRPs over cost of service regulation. Regulators in Britain, Australia, Germany, the Netherlands, Norway, and New Zealand are recognized MRP leaders.
The British approach to PBR is one of the best known. The latest version of this approach is called "RIIO" (Revenue = Incentives + Innovation +Outputs). The heart of the RIIO system is an MRP. The typical plan term is 8 years. Since the ARM is based on multiyear cost forecasts, the regulator must carefully review utility business plans. Statistical benchmarking and independent engineering studies loom large in cost appraisals. 30 months is typically required to process a RIIO application. There are PIMs for a wide range of outputs. Special cost trackers encourage innovative projects.
RIIO has recently been touted as a promising approach to regulating US electric utilities in an era of smart grid innovations and increased distributed generation. However, many components of RIIO (e.g., MRPs and APMs) are already widely used in America and Americans have developed their own approaches to addressing certain regulatory challenges. For example, integrated resource planning has been used for years in some states, and planning in some states can be extended (as in California) to incorporate DG and smart grid innovations. There is a long tradition of "pilot" projects to encourage innovation. Alternative approaches to ARM design are more familiar and can involve lower implementation costs.
A PIM is designed to strengthen utility performance incentives in a targeted area. Basic components of a PIM include a performance metric or indicator (called an "output" in Britain), a performance appraisal that compares the utility's value for the indicator to a benchmark value, and a mechanism for adjusting utility rates to reflect the performance appraisal. Here are some common performance areas targeted by PIMs:
•Reliability (e.g.,SAIDI, SAIFI)
•Other customer service dimensions (e.g.,telephone response time)
•Demand-side management (e.g.,estimated net benefits)
•Cost (e.g.,cost/dkth of gas procured).
PIM Design and Support
PEG personnel have testified in support of PIM proposals for reliability and other dimensions of service quality for clients that include Hawaiian Electric, Kentucky Utilities, Louisville Gas & Electric, Oklahoma Gas & Electric, San Diego Gas & Electric, and Western Resources. Our experience also includes development of reliability benchmarks for the Ontario Energy Board and a consortium of Massachusetts power distributors. In addition, we have conducted several surveys of PIMs and metrics which are discussed further below.
PEG personnel have been North America’s leading PBR consultants for thirty years. We are best known for our work to popularize the multiyear rate plan approach to PBR. We pioneered the use of input price and productivity research in the design of the attrition relief mechanisms that are a key component of these plans. Our MRP services encompass plan design and statistical research on industry input price and productivity trends.
We have been involved in some of the most important cases advancing MRPs in North America. Here are some of our notable MRP accomplishments:
•In the 1990s we provided research and testimony that helped Central Maine Power become the first US electric utility outside California to operate under an MRP with a price cap index. We provided research and testimony that helped Boston Gas become the first US gas distributor to operate under an MRP with a price cap index.
•We have helped numerous other utilities become the first in their respective jurisdictions to obtain MRPs.
•Multiyear rate plans are now one of the most popular approaches to Altreg in the United States.
•We have played a major role in the spread of MRPs to all four populous provinces of Canada. For example, after initially working for some of Ontario’s largest energy utilities, we have for many years advised the Ontario Energy Board on MRPs, helping it become a world PBR leader. Most Ontario power distributors operate under “incentive ratemaking” plans that are part of the Renewed Regulatory Framework that we helped the Board to design. PEG also has played and continues to play a leading role in PBR proceedings in Alberta, British Columbia, and Quebec.
Recent Projects
The ongoing vitality of our US PBR practice is indicated by the following projects we have undertaken in recent years.
• We co-authored influential white papers on PBR for Lawrence Berkeley National Laboratory. The first considered the state of the art in PBR in the context of growth in distributed energy resources. The second paper addressed multiyear rate plans and included research on the O&M, capital, and multifactor productivity trends of US power distributors.
• We represented the Hawaiian Electric companies in a recent and closely-watched PBR proceeding.
• Our recent research and testimony for Duke Energy and Puget Sound Energy recently helped those companies secure approval of MRPs in North Carolina and Washington State, respectively. In 2024, we have filed new evidence for Puget Sound Energy that helps it base its multiyear rate plan proposals on a solid foundation of input price research.
•We speak frequently on PBR at conferences and webinars. Berkeley Lab has funded our presentations and seminars on PBR to numerous organizations that include NARUC, NASUCA, and the National Conference of State Legislatures. We helped the NCSL write a white paper on PBR in 2022.
The performance incentives generated by alternative regulatory systems is a critical issue in MRP plan design and advocacy. In research for several clients, PEG has developed a sophisticated model to quantify the impacts on cost performance of alternative concrete regulatory systems. For each system considered, the model generates results for:
•Strength of incentives
•Earnings
•Customer benefits
Using a sophisticated optimizing algorithm, we have modeled how rational companies respond to several key features of regulatory systems. These include:
•Plan term (e.g., 2 -10 years)
•Rate rebasing provisions (e.g., full rate case, efficiency carryover mechanisms)
•Earnings sharing mechanisms
Our results show that if an MRP is not designed appropriately, some initiatives will not be pursued, and utilities and their customers will both lose. Results can also help managers plan for MRP success. For example, some of the biggest benefits of an MRP may not be realized unless there is timely implementation. Our Incentive Power model can help clients appraise established regulatory options, identify promising new options, and present supportive evidence.
An important part of PEG’s Altreg practice is surveying and analyzing Altreg precedents. Any assessment of PBR and other Altreg options must take account of developments in North America, elsewhere in the world, and academia. We periodically summarize our Altreg research and analysis in polished white papers and surveys.
For example, we have prepared four white papers surveying multiyear rate plan and other Altreg trends and precedents for the Edison Electric Institute (“EEI”), in addition to several other reports on Altreg topics for EEI since the early 1990s. A report on our most recent survey was released in February 2024.
Other white papers and surveys we have prepared include the following.
•Several surveys of trends in PBR for Duke Energy and Sempra Energy
•A comprehensive survey of service quality and other PIMs for Detroit Edison
•A comprehensive survey of service quality benchmark mechanisms and regulatory approaches for the Ontario Energy Board. This paper was cited by the DC Commission in Order No. 16427.
•A survey of customer-specific reliability benchmark mechanisms for the Ontario Energy Board.
•A survey of metrics required to be reported as part of AMI installation approval orders for Commonwealth Edison
•A comprehensive survey and analysis of incentive regulation approaches throughout the world on behalf of the Bundesnetzagentur, Germany’s energy network regulator
•A survey and analysis of the practice of PBR in the US and the UK on behalf of the power distribution companies in the state of Victoria, Australia
•A concept paper on PBR mechanisms, and related cost and measurement issues for the Ontario Energy Board which was published at the outset of the Board’s pathbreaking “Renewed Regulatory Framework for Electricity” initiative
•A survey on the ‘state of the art’ in incentive regulation theory and design for the Electric Power Research Institute.
Input price and productivity research is used to design index-based rate and revenue escalators in Massachusetts, Alberta, British Columbia, Hawaii, Ontario, Quebec, New Zealand, and several other jurisdictions around the world. These escalators can provide relief to utilities for increasing cost pressures without weakening their cost containment incentives.
PEG personnel have been the leading consultants on energy utility productivity for more than two decades. We have done more productivity studies over the years than all other North American consultancies combined. We pioneered the use of productivity research in energy utility regulation and have spearheaded its spread across Canada. Research on the productivity trends of gas and electric power distributors, power transmitters, and vertically-integrated electric utilities are PEG specialties. We routinely calculate the productivity of operation and maintenance (“O&M”) and capital inputs in our studies as well as multifactor productivity (“MFP”).
Here are some productivity studies we have undertaken that are especially notable.
•Our research and/or testimony on productivity trends of US electric utilities has provided the basis for X factors in approved MRPs of Central Maine Power, Central Vermont Public Service, Hawaiian Electric, NSTAR Electric, and San Diego Gas and Electric.
•For the Ontario Energy Board, we have prepared productivity research and testimony used to set X factors in PBR plans for gas and electric power distributors, power transmitters, and hydroelectric generators.
•Our productivity research and testimony has also influenced X factors chosen by regulators in Alberta, British Columbia, and Quebec.
•We recently testified on input price and productivity trends for the Hawaiian Electric companies in a closely-watched PBR proceeding.
•We have written several papers on our productivity research, including one that was published in the Review of Network Economics.
•A recent white paper for Lawrence Berkeley National Laboratory included results of our power distributor productivity research.
•In 2024, we have testified on the input price inflation trends of US gas and electric utilities for Puget Sound Energy.
What is Statistical Benchmarking?
Statistical benchmarking is a scientific approach to performance measurement that makes extensive use of data on utility operations. Indicators are chosen that reflect important dimensions of company performance. Company values are then compared to benchmarks that reflect the performance of other utilities. Statistics are used to compare benchmarks and draw conclusions about performance. Econometric and indexing (e.g., unit cost) methods are commonly used for this purpose in English-speaking countries.
Benchmarking has long been used by utility managers to appraise operating efficiency. Today, it is also playing a role in regulation. Utilities, intervenors, and regulators all use benchmarking to appraise the reasonableness of historical costs and forecasts of future costs. The results can be used to help set rates in rate cases and the out-year provisions of multiyear rate plans. Companies investing in utilities outside the US are especially likely to encounter benchmarking studies in the regulatory arena.
PEG Research is a leading North American consultant on statistical benchmarking for energy utilities. Our personnel first testified on benchmarking research for Southern California Edison in 1994. We pioneered the use of scientific benchmarking methods in US and Canadian ratemaking. The X factors in the price cap indexes of most Ontario power distributors are adjusted annually to reflect the outcome of our ongoing benchmarking research for the Ontario Energy Board. Company President Mark Newton Lowry has chaired several benchmarking workshops and conferences. Our methods are also useful in management since they produce the most accurate performance measures available. We can help managers track trends in their company's performance and identify areas of strength and weakness.
PEG Research uses a range of sophisticated benchmarking tools.
Unit Cost Indexes
Unit cost metrics are most commonly used in cost benchmarking by North American utilities. A unit cost index is the ratio of cost to a measure of operating scale. It facilitates cost comparisons between companies with different operating scales.
Experienced benchmarkerswill have encountered the challenge of deciding which measure of operating scale should be used in unit cost research. A distributor, for instance, may find that it stacks up much better on a cost per customer basis than on a cost per line mile or volume deliveredbasis. The output quantity indexes we use in our benchmarking work help to finesse this problem. These feature multiple output quantity measures with weights that reflect their relative importance as cost drivers. The weights are based on our econometric cost research.
Productivity Indexes
A productivity index is the ratio of an output and an input quantity index. Productivity indexes are widely used in government and industry as performance measures. They are most commonly employed to measure performance trends over time. For example, they can measure the annual productivity growth of a company and compare it to that of other companies in a specified region. This is a great way to appraise the success of efficiency initiatives.
Productivity trend indexes capture the change in a company's cost over time that is not due to changes in its input prices or operating scale. Productivity level indexes capture differences in the costs of sampled companies that are not due to differences in their input prices or scale. Since input prices and operating scale are major cost drivers, productivity indexes are useful measures of operating efficiency. They permit the use of data from companies facing different input prices and operating scales in benchmarking a company's efficiency.
Productivity indexes can be calculated at various levels of detail. Multifactor productivity ("MFP") indexes summarize the efficiency with which all inputs of a company are utilized to provide a bundle of services. Partial factor productivity indexes can address the productivity of specific input groups (e.g., operation and maintenance inputs).
Econometric Cost Models
An econometric cost model explains the relationship between utilities' costs and an array of quantifiable business conditions in their service territories. Model specifications are guided by economic theory. Model parameters are estimated using historical data on the costs and business conditions (cost "drivers") of a sample of utilities. Statistical tests can ensure that the model contains only significant cost drivers. The model can then be used to predict a utility's past, current, or future cost given the exact business conditions that it faces in its service territory. This reduces the need to choose a peer group of companies. Models can also be used to predict the change in a company's cost given expected changes in local business conditions (e.g., input price inflation and customer growth).
Econometric cost models have important advantages over unit cost and productivity metrics in performance measurement.
•A model can simultaneously consider the impact on cost of a wider array of business conditions. Examples include the extent of undergrounding of a power delivery system and whether companies distribute both gas and electricity.
•Statistical tests can be conducted of hypotheses regarding deviations from efficiency norms. Confidence intervals used in these tests reflect, as they should, the size of the sample and the success of the cost model in explaining the variations in cost in the historical sample.
Capital Measurement
Capital accounts for the largest share of the cost of most utilities. Capital cost containment is therefore the single most important dimension of long run utility operating efficiency. Many benchmarking consultancies nonetheless focus on O&M expenses due to the difficulty of comparing capital costs across utilities. Moreover, their studies usually take little account of the amount of capital utilized even though it has a major impact on the amounts of O&M inputs used. PEG Research uses rigorous capital measurement methods that can surmount this barrier to comprehensive efficiency measurement. We routinely benchmark capital cost and can consider a utility's capital holdings when benchmarking O&M expenses.
Econometric Reliability Models
Like cost, the service quality of utilities also depends on local business conditions. These conditions can vary between utilities and account for much of the variations in quality that utilities achieve. PEG Research has developed econometric models that benchmark the reliability of a utility given local business conditions. Models have been developed for SAIDI and SAIFI. Model parameters are estimated using only data in the public domain that conform to IEEE standard 1366. The models are useful in setting reliability targets and in evaluating prudence. The econometric approach to benchmarking is especially advantageous given the paucity of utilities with publicly available, standardized data which are candidates for inclusion in peer groups.
Other Methods
Other benchmarking methods, including data envelopment analysis (DEA), are sometimes used in the regulatory arena. PEG Research personnel are familiar with DEA and can advise clients on the comparative advantages of alternative benchmarking methods.
PEG Research can provide index and econometric cost benchmarking studies for all of the major services of gas and electric utilities and relevant combinations thereof. Benchmarking the total cost of base rate inputs is a company specialty. We are currently working with the Ontario Energy Board to improve their capability to benchmark costs at more granular levels.
ELECTRIC POWER
•Generation
•Transmission
•Local Delivery
•Customer Accounts
•Distribution (Local Delivery and Customer Accounts)
•T&D (Transmission, Local Delivery, and Customer Accounts)
•Bundled Power Service
•Reliability (e.g., SAIDI and SAIFI)
NATURAL GAS
•Transmission
•Storage
•Local Delivery
•Customer Accounts
•Distribution (Local Delivery and Customer Accounts)
•Integrated Transmission, Storage, and Distribution
For each service, studies are available for detailed cost categories as well as for total cost and we can appraise performance levels and changes in performance.
Benchmarking Workshops
Many clients today want to strengthen their in-house benchmarking capabilities. PEG Research can conduct benchmarking workshops to help staffers new to benchmarking get up to speed and to sharpen the skills of more experienced staffers. Workshops can be held on site, at our Madison office, or an attractive retreat location. PEG Research can also provide real world data for a benchmarking exercise.
Expert Witness Testimony
PEG Research personnel have testified on benchmarking for some of North America's best known utilities. Utilities have also submitted our research to regulators overseas, where formal rate cases are rare. Impressive results have been achieved for clients in several instances.
The expertise of PEG in statistical cost research has a number of other useful applications in utility regulation.
Cost Forecasts
Indexes and econometric models are both useful in the preparation of cost forecasts for internal budgeting and forward test years. For example, it is well established that
growth Cost = growth Input Prices - growth Productivity + growth Scale
PEG Research can prepare utility-specific input price indexes, scale indexes, and tough, but attainable productivity targets that permit custom forecasts of O&M expenses and total cost. Formulas of this kind are currently used by the Australian Energy Regulator to establish multiyear O&M budgets for gas and electric power distributors.
Inflation Research
Most US energy utilities were not compensated for the rapid input price inflation that recently resulted from the economic distortions triggered by the pandemic and war in the Ukraine. Rate cases were not welcomed, and few utilities had automatic inflation adjustment mechanisms. In 2024 testimony for Puget Sound Energy, PEG has put the Company’s inflation forecasts on a solid foundation of empirical research. PEG has also developed useful inflation adjustment mechanisms that can true up inflation forecasts to actuals.
Overview
The term Alternative Regulation ("Altreg") encompasses a wide range of alternatives to the traditional approach to utility ratemaking, where base rates are reset only in occasional rate cases using historical test years. In addition to performance-based ratemaking (“PBR”), which includes multiyear rate plans and revenue decoupling, constructive approaches to Altreg include capital spending (capex) trackers and forward test years. The growing use of Altreg in North America reflects in part its effectiveness in improving the timeliness of rate adjustments without frequent rate cases.
PEG Research Capabilities
PEG possesses North America's most experienced staff of energy Altreg consultants. We are especially well-known for our pathbreaking work in the PBR field, which has had a material impact on utility ratemaking. In addition to PBR, we are recognized as experts on other Altreg approaches that include capital cost trackers, formula rates, forward test years, and attrition allowances. We have advised the Edison Electric Institute on Altreg issues for two decades, preparing numerous authoritative white papers and teaching an Altreg strategy workshop at the EEI Electric Rates Advanced Course. Our most recent Altreg survey for EEI was released in February 2024. Our staff has over sixty man-years of Altreg experience. We routinely extend the frontier of Altreg with cutting edge research.
We are not wedded to any single approach to Altreg and are committed to helping our clients find the approach that makes sense for them. Our services include the monitoring of Altreg developments across utility industries and around the world. Clients can quickly access our extensive collection of Altreg documents.
Applications we have worked on include most major energy utility services.
•ELECTRIC POWER: Transmission, Distribution, Customer Care, Energy Procurement, and Bundled Power Service
•NATURAL GAS: Transmission, Distribution, and Procurement
Many utilities are still compelled to use historical or hybrid test years in rate cases. These approaches were designed for an earlier era of rapid volume per customer growth and are often uncompensatory under today's business conditions. A forward (aka fully forecasted) test year allows the utility to set its rates using forecasted costs, investment levels, and revenues. Forward test years are now used in more than twenty-five states and most Canadian provinces.
Many energy distributors are engaged today in accelerated programs of system modernization. Vertically integrated electric utilities face an additional challenge when engaged in a multiyear program to install scrubbers on its generating units. Assets with appreciable value become used and useful each year, and timely recovery of the cost of plant additions can require frequent and even annual rate cases. Capex trackers can help utilities achieve timely recovery of new investments without frequent rate cases. The majority of U.S. regulatory jurisdictions have employed a capex tracker.