As electricity rates rise nationwide after two decades of stability, these companion NACo resources help county officials understand why.

The Understanding Electricity Costs Primer provides a foundational overview of how electricity bills are structured, how rates are regulated and how utility types differ.

The Electricity Cost Trends and Projected Growth Report examines the factors driving electricity cost increases — including aging infrastructure, inflation and rapid demand growth from large loads — and surveys the regulator tools being adopted to protect ratepayers. It explains how market structure and utility type determine who bears these costs.

The Electricity Cost Case Studies illustrate how rising costs, large load growth and shifting market structures affect ratepayers differently depending on utility type and regional context, examine utilities across six states to show how regulatory tools and cost allocation shape electricity bills.

As electricity rates rise nationwide after two decades of stability, these companion NACo resources help county officials understand why.

The Understanding Electricity Costs Primer provides a foundational overview of how electricity bills are structured, how rates are regulated and how utility types differ.

The Electricity Cost Trends and Projected Growth Report examines the factors driving electricity cost increases — including aging infrastructure, inflation and rapid demand growth from large loads — and surveys the regulator tools being adopted to protect ratepayers. It explains how market structure and utility type determine who bears these costs.

The Electricity Cost Case Studies illustrate how rising costs, large load growth and shifting market structures affect ratepayers differently depending on utility type and regional context, examine utilities across six states to show how regulatory tools and cost allocation shape electricity bills.

Understanding Electricity Costs Primer

The Understanding Electricity Costs Primer provides a foundational overview of how electricity bills are structured, how rates are regulated and how utility types differ.

Download Primer

  1. Ryan Wiser, Eric O'Shaughnessy, Galen Barbose, Peter Cappers and Will Gorman. "Factors Influencing Recent Trends in Retail Electricity Prices in the United States." The Electricity Journal, vol. 38, 2025. 
  2. Fritz Kahrl et al. "Transmission Cost Allocation Practices." Technical brief, Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory, May 2025. 
  3. Jim Lazar, Paul Chernick, William Marcus and Mark LeBel. "Electric Cost Allocation for a New Era: A Manual." Regulatory Assistance Project, Montpelier, Vt., January 2020. 
  4. Fritz Kahrl et al. "Transmission Cost Allocation Practices." Technical brief, Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory, May 2025. 
  5. Fritz Kahrl et al. "Transmission Cost Allocation Practices." Technical brief, Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory, May 2025. 
  6. Brendan Pierpont. "Clean Energy Isn't Driving Power Price Spikes." Energy Innovation: Policy and Technology LLC, July 2024. 
  7. Bozeman Daily Chronicle. “Butte-Silver Bow Commissioner Wants PSC Parameters on Data Centers.” https://www.bozemandailychronicle.com/news/butte-silver-bow-commissioner-wants-psc-paramaters-on-data-centers/article_3e942a9a-f349-57b5-a901-169ad85b7c65.html 
  8. The Brattle Group. "Large Loads: Interconnection, Tariff Designs and State Actions." September 2025. 
  9. Rocky Mountain Institute. "Tariffs for Large Load Customers." Nov. 23, 2025. https://affordability-toolkit.rmi.org/policies/tariffs-for-large-load-customers 
  10. Duke Energy. "Understanding Riders."  https://www.duke-energy.com/energy-education/understanding-riders 
  11. AEP Ohio. "Data Center Tariff." American Electric Power, 2026. https://www.aepohio.com/company/about/rates/data-center-tariff/ 
  12. Fritz Kahrl et al. "Transmission Cost Allocation Practices." Technical brief, Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory, May 2025. 
  13. Fritz Kahrl et al. "Transmission Cost Allocation Practices." Technical brief, Lawrence Berkeley National Laboratory and Pacific Northwest National Laboratory, May 2025. 
  14. Texas Legislature. "Texas Utilities Code, Chapter 39: Restructuring of Electric Utility Industry." Texas Constitution and Statutes, June 20, 2025. https://statutes.capitol.texas.gov/Docs/UT/htm/UT.39.htm 
  15. Building the Future Transmission Grid – Analysis - IEA  
  16. National-Load-Growth-Report-2023.pdf 
  17. U.S. Energy Information Administration. "Reserve Electric Generating Capacity Helps Keep the Lights On." June 1, 2012. https://www.eia.gov/todayinenergy/detail.php?id=6510 
  18. Brendan Pierpont. "Clean Energy Isn't Driving Power Price Spikes." Energy Innovation: Policy and Technology LLC, July 2024. 
  19.  Brendan Pierpont. "Clean Energy Isn't Driving Power Price Spikes." Energy Innovation: Policy and Technology LLC, July 2024. 
  20. A. Barth, H. Tai, K. Kaladiouk and L. Heath. "Powering a New Era of U.S. Energy Demand." McKinsey & Company, April 29, 2025. 
  21. Monitoring Analytics LLC. "Analysis of the 2027/2028 RPM Base Residual Auction: Part A." Monitoring Analytics, Eagleville, Pa., Jan. 5, 2026. 
  22. Monitoring Analytics LLC. "Analysis of the 2027/2028 RPM Base Residual Auction: Part A." Monitoring Analytics, Eagleville, Pa., Jan. 5, 2026. 

Electricity Cost Trends and Projected Growth Report

The Electricity Cost Trends and Projected Growth Report examines the factors driving electricity cost increases — including aging infrastructure, inflation and rapid demand growth from large loads — surveys the regulatory tools being adopted to protect ratepayers and explains how market structure and utility type determine who bears these costs.

Download Report

  1. John Wilson, Sophie Meyer, Zach Zimmerman and Rob Gramlich. "Power Demand Forecasts Revised Up for Third Year Running, Led by Data Centers." Grid Strategies LLC, November 2025. 
  2. Brendan Pierpont. "Clean Energy Isn't Driving Power Price Spikes." Energy Innovation: Policy and Technology LLC, July 2024. 
  3. Energy Systems Integration Group. "Forecasting for Large Loads: Current Practices and Recommendations." Prepared by the Large Loads Task Force. ESIG, Reston, Va., December 2025. 
  4. P. Gerke. "The True Cost of the Price of Power: Factor This Brief." Renewable Energy World, April 20, 2026. https://www.renewableenergyworld.com/energy-business/energy-finance/the-true-cost-of-the-price-of-power-the-brief-by-factor-this/ 
  5. National Association of Regulatory Utility Commissioners. "Distributed Energy Resources Rate Design and Compensation." Prepared by the NARUC Staff Subcommittee on Rate Design. NARUC, Washington, D.C., 2016. 
  6. U.S. Energy Information Administration (EIA). "Prices and Factors Affecting Prices." June 29, 2023. 
  7. Sydney Forrester et al. "Retail Electricity Price and Cost Trends: 2024 Update." Lawrence Berkeley National Laboratory, December 2024. 
  8. PowerLines. "Rising Utility Bills: Q4 Update (2025 Review)." January 2026. https://powerlines.org/wp-content/uploads/2026/01/0126_PowerLines_Rising-Utility-Bills-Q4-Update-FINAL.pdf 
  9. U.S. Bureau of Labor Statistics. "Consumer Price Index." https://www.bls.gov/cpi/ 
  10. Brattle Group. "Large Loads Interconnection Tariff Designs and State Actions." September 2025. https://www.brattle.com/wp-content/uploads/2025/09/Large-Loads-Interconnection-Tariff-Designs-and-State-Actions.pdf 
  11. Edison Electric Institute. "New Analysis Finds U.S. Electricity Rates Have Remained Stable in a Majority of States." Feb. 2, 2026. https://www.eei.org/en/news/news/all/new-analysis-finds-us-electricity-rates-have-remained-stable-in-a-majority-of-states 
  12. COMEX Live. "Comex Copper: Live Quotes, Prices, Charts and News." 2026. https://comexlive.org/copper 
  13. California Public Utilities Commission. "Decision Authorizing Pacific Gas and Electric Company's General Rate Case Revenue Requirement for 2023-2026." Decision 23-11-069, Nov. 16, 2023, pp. 12-15. 
  14. California Public Utilities Commission. "Fact Sheet: Southern California Edison's 2025 General Rate Case." Sept. 18, 2025. 
  15. Mohit Singh, Andrew Ong and R. Sud. "Wires and Fire: Wildfire Investment and Network Cost Differences Across California's Power Providers." The Electricity Journal, vol. 38, 2025. 
  16. Florida Public Service Commission. "Order Approving Duke Energy Florida LLC's Interim Storm Restoration Recovery Charge." Order No. PSC-2025-0061-PCO-EI, Docket No. 20240173-EI, 2025. 
  17. U.S. Energy Information Administration. "Grid Infrastructure Investments Drive Increase in Utility Spending Over Last Two [title incomplete in source material]." Nov. 18, 2024. 
  18. Rob Gramlich et al. "Unlocking America's Energy: How to Efficiently Connect New Generation to the Grid." Prepared for Advanced Energy United and Solar and Storage Industries Institute. Grid Strategies LLC and the Brattle Group, August 2024. 
  19. Goldman Sachs Research. "GS Sustain: AI/Data Center Power Demand — How Rising Hyperscaler Reinvestment Impacts Power Growth Constraints." Feb. 23, 2026. 
  20. E. Zhou, S. Gadzanku, C. Hodge, M. Campton, S. de la Rue du Can and J. Zhang. "Best Practices in Electricity Load Modeling and Forecasting for Long-Term Power System Planning." National Renewable Energy Laboratory, 2023. https://docs.nrel.gov/docs/fy23osti/81897.pdf 
  21.  John Wilson, Sophie Meyer, Zach Zimmerman and Rob Gramlich. "Power Demand Forecasts Revised Up for Third Year Running, Led by Data Centers." Grid Strategies LLC, November 2025. 
  22. R. Wiser, G. Barbose, W. Gorman, E. O'Shaughnessy, S. Forrester, P. Donohoo-Vallett, P. Cappers, J. Deason, R. Hledik and L. Lam. "Retail Electricity Price Trends and Drivers: Data Update — 2026 Edition." Lawrence Berkeley National Laboratory, 2026. 
  23. PR Newswire. "New Brattle Report Finds Better Utilization of Existing Power Grid Could Save U.S. Consumers More Than $100 Billion in the Next Decade." Sept. 18, 2025. https://www.prnewswire.com/news-releases/new-brattle-report-finds-better-utilization-of-existing-power-grid-could-save-us-consumers-more-than-100-billion-in-the-next-decade-302718234.html 
  24. North American Electric Reliability Corporation (NERC). "2026 Long-Term Reliability Assessment." January 2026, pp. 12-15. https://www.nerc.com/pa/RAPA/ra/Reliability%20Assessments%20DL/NERC_LTRA_2026.pdf 
  25. "Retail Price and Cost Trends 2024 Update." Lawrence Berkeley National Laboratory, 2024.
  26. Tyler Norris, Tim Profeta, Dalia Patino-Echeverri and Anna Cowie-Haskell. "Rethinking Load Growth: Assessing the Potential for Integration of Large Flexible Loads in U.S. Power Systems." Nicholas Institute for Energy, Environment and Sustainability, Duke University, 2025. 
  27. M. DeCourcey and M. Saraswat. "Retail Rate Trends in the U.S." Charles River Associates, Feb. 2, 2026. https://media.crai.com/wp-content/uploads/2026/02/02092628/Retail-rate-trends-in-the-US.pdf 
  28. Lawrence Berkeley National Laboratory. "New Berkeley Lab Technical Brief Describes Pricing and Service Agreements for Large-Load Customers." Jan. 15, 2025. https://emp.lbl.gov/news/new-berkeley-lab-technical-brief-describes-pricing-and-service-agreements-large-load 
  29. Sara Wilson. “Local Governments in Colorado Enact Moratoriums on Data Center Development,” KUNC, August 10, 2026. https://www.kunc.org/news/2026-08-10/local-governments-in-colorado-enact-moratoriums-on-data-center-development
  30. M. Quiñones, host. "How the Data Center Coalition Is Responding to Growing Backlash." POLITICO Energy podcast, POLITICO, May 18, 2026. https://podcasts.apple.com/us/podcast/how-the-data-center-coalition-is-responding-to/id1480605295?i=1000768366204 
  31. The White House. "Ratepayer Protection Pledge." March 4, 2026. https://www.whitehouse.gov/releases/2026/03/ratepayer-protection-pledge/ 
  32. AEP Ohio. "Data Center Tariff." American Electric Power, 2026. https://www.aepohio.com/company/about/rates/data-center-tariff/ 
  33. T. Coghill Jr. "Spotsylvania Board of Supervisors Approves Data Center Design Standards, but They May Be Short-Lived." Fredericksburg Free Press, Dec. 10, 2025. https://www.fredericksburgfreepress.com/2025/12/10/spotsylvania-board-of-supervisors-approves-data-center-design-standards-but-they-may-be-short-lived/ 
  34. Google’s approach for responsible energy growth
  35. Michigan Public Service Commission. "MPSC Approves Terms of Service Between Consumers Energy and Data Centers, Other Very Large Customers; Adds Protections for Existing Customers." Nov. 6, 2025. https://www.michigan.gov/mpsc/commission/news-releases/2025/11/06/mpsc-approves-terms-of-service-between-consumers-energy-and-data-centers 
  36. Federal Energy Regulatory Commission. "eLibrary Filing." Accession No. 20260326-5217, 2026. https://elibrary.ferc.gov/eLibrary/filelist?accession_number=20260326-5217 
  37. Tyler Norris, Tim Profeta, Dalia Patino-Echeverri and Anna Cowie-Haskell. "Rethinking Load Growth: Assessing the Potential for Integration of Large Flexible Loads in U.S. Power Systems." Nicholas Institute for Energy, Environment and Sustainability, Duke University, 2025. 
  38. A. Peterson Corio and B. Kobor. "How We're Working With Utilities to Create a New Model for Clean Energy." Google Blog, June 11, 2024. https://blog.google/feed/nevada-clean-energy/ 
  39. Botetourt County, Va. "Google Advances Botetourt County Data Center Campus Project." March 25, 2026. https://www.botetourtva.gov/m/newsflash/home/detail/1084 
  40. Lauren Eberle and Camille Kadoch. "Building Resilient Foundations for Large Loads." Regulatory Assistance Project, 2025. 
  41. National Association of Counties. "NACo Series on County Considerations for Siting Energy Projects: Battery Energy Storage System (BESS)." May 2026. 
  42. Mike Specian. "Faster and Cheaper: Demand-Side Solutions for Rapid Load Growth." American Council for an Energy-Efficient Economy, Washington, D.C., February 2026. 
  43. Virginia Department of Social Services. "Energy Assistance." https://dss.virginia.gov/benefit/ea/ 
  44. N.Y. Lee. "United Way of the Midlands Weatherization Program Reduces Costs and Strengthens Community." United Way Worldwide. https://www.unitedway.org/news/united-way-of-the-midlands-weatherization-program-reduces-costs-and-strengthens-community 

Ratepayer Protection and Large Load Tariffs

A market comparison of regulatory tools designed to allocate large load costs fairly

This case study is part of a series on Understanding Electricity Cost Trends and Projected Growth. As large load growth has accelerated, states and utilities across the country have developed a range of regulatory tools to address how infrastructure costs are allocated between new large load customers and existing ratepayers.

The two cases below show how both regional market mechanisms and utility specific tariffs can be used to protect residential and small business ratepayers from absorbing costs driven by industrial demand growth.

Key Takeaway

Ohio’s Schedule Data Center Tariff (DCT) is one example of a utility-level regulatory tool that ties infrastructure costs directly to the large loads that impact them. In states without equivalent protections, a Schedule DCT may serve as a useful model for county-level advocacy in state regulatory proceedings.

Background

AEP Ohio is a local electric utility that owns and operates distribution infrastructure across Ohio, while coordinating with PJM for transmission reliability. Facing unprecedented large-scale computing facility demand requests, AEP Ohio and the Public Utilities Commission of Ohio (PUCO) developed a comprehensive large load tariff framework.

The Challenge

AEP Ohio faced two compounding challenges as large-scale computing facility demand surged. First, these facilities were seeking power commitments faster than the utility could plan, permit and build the infrastructure. Second, there was a stranded asset risk, meaning under standard terms, the cost of unused or underutilized infrastructure would have fallen to existing residents and small business customers.1

The Response

The Data Center Tariff (Schedule DCT)

Schedule DCT applies to large loads exceeding 25 MW and contains three core protections designed to ensure large load growth does not shift costs onto existing residential and small business ratepayers:

  • Minimum-Take Provisions: Data centers must pay at least 85% of their contracted capacity, even if actual usage is lower. This ensures infrastructure costs are recovered even if a facility underperforms.
  • Stranded Asset Collateral: Developers post upfront collateral equal to 50% of total minimum charges for the full contract term. If a project is canceled, that collateral helps cover the cost of infrastructure already built.
  • Extended Contract Terms: Long-term agreements align infrastructure cost recovery with the expected operational life of the facilities that triggered grid construction. If a facility exits early, the financial obligation does not transfer to other ratepayers.
The Settlement Framework

PUCO reached a settlement establishing 12-year contracts with the 85% minimum take provision as standard terms for large load computing facility loads. This framework reduces the risk that transmission infrastructure costs flow to other ratepayers.2

Outcomes for Ratepayers

Because pricing drivers are all indirectly affected by market conditions, residential ratepayers in municipal utility territories may see rate changes that are difficult to trace to a specific cause or decision point.

Key Takeaway

In low-density cooperative territories, regional rules for sharing transmission costs can shift the costs of distant large load growth onto local ratepayers. Large Load Tariffs are an emerging tool to ensure new users — not existing members — pay for the infrastructure they require. Local ordinances requiring utilities to offer or adopt large load tariffs, or statutory mandates compelling utility commissions to create these tariffs, are options that have been used to address this issue.

Background

Rural electric cooperatives within the Southwest Power Pool (SPP) face a dual challenge: maintaining poles and wires across low-density territories, while being subject to regional transmission cost-sharing rules that can assign costs from large industrial loads to small communities with limited ability to absorb the resulting costs.3

The Challenge

When a large industrial load in one part of the SPP region triggers a regional transmission upgrade, the costs of that upgrade are shared across the SPP footprint — including small rural cooperatives whose members may never benefit from the new infrastructure. For communities with a small ratepayer base, even a small regional cost allocation can lead to a significant rate increase.4,5

Emerging Solution: Large Load Tariffs

Modernized contract structures, such as Large Load Tariffs, offer a path forward by requiring system expansion costs to be borne by the new users who trigger them rather than spread across the existing member base. This approach can also leverage large load growth to support long-term regional reliability improvements and rate stability that benefit all ratepayers.6

Outcomes for Ratepayers

In low-density cooperative territories, the arrival of large loads in one part of a regional transmission organization can result in cost increases for ratepayers in communities that have no direct connection to the new load and receive no local economic benefit from it. Without modernized cost allocations structures, rural cooperatives members are among the most exposed to this dynamic.

Intended Use: This content is intended for educational purposes only. NACo does not endorse any particular strategy or approach. For official NACo positions, please refer to the American County Platform. 

Electricity Bills by Utility Type

A comparison of how investor-owned utilities and rural cooperatives allocate large load costs to ratepayers

Changes in electricity prices are driven by a range of factors, including utility models. For example, when a new large load customer (e.g., manufacturing facility, large-scale computing facility) arrives in a region, its impact on electricity bills will depend heavily on the type of utility serving the area and the regulatory rules that govern how costs are allocated across the customer base.

The two cases below contrast how the same challenge of a sudden surge of large load demand plays out differently depending on the utility structure and regulatory environment.

Key Takeaway

In an IOU territory, infrastructure costs from a large load in one community can be spread across an entire service area. The host community captures property tax revenue; neighboring communities share the costs. Michigan’s Special Contract model shows that regulatory action can flip this dynamic, ensuring equitable cost allocation across the service territory while still enabling large load growth.

Background

Detroit Edison (DTE Energy) is an investor-owned utility (IOU) that services a diverse mix of urban, suburban and industrial communities across Michigan including:

  • Detroit: major urban center with traditional heavy automotive manufacturing
  • Lansing and Grand Rapids: urban areas with no large new loads
  • Ann Arbor: suburban-urban mix, where a 1.4 GW data center is planned
The Challenge

Ann Arbor ratepayers are not solely responsible for the infrastructure costs associated with the new 1.4 GW facility, despite its physical location within the city. As all three communities are served by DTE's shared infrastructure, the total cost requirement for hosting the facility is allocated proportionally across DTE's entire customer base.

This means Ann Arbor captures local property tax revenue from the development, while neighboring communities in Lansing, Grand Rapids and Detroit share the infrastructure costs without receiving any direct local economic benefit.

The Response

To address this imbalance, Michigan regulators introduced ‘Special Contracts’ requiring hyperscale developers to cover 100% of their infrastructure and clean energy needs upfront. The goal is to ensure large loads are a net benefit to the grid rather than a shared financial burden on existing ratepayers.1

Outcomes for Ratepayers

The additional revenue generated through Special Contracts allowed DTE to pause electric rate hikes for two years, delivering direct and measurable savings to all ratepayers across the service territory, including communities that would otherwise have shouldered infrastructure costs without offsetting local benefit.2

Key Takeaway

Rural cooperatives are structurally more cost-vulnerable than IOUs when large loads arrive, because infrastructure costs are shared across a smaller member base. UEC’s PSA model partially protects residential ratepayers by ring-fencing electricity costs for large industrial users, but infrastructure costs were still socialized. The NWCPUD model shows that full cost recovery from large loads is achievable for smaller utilities.

Background

Umatilla Electric Cooperative (UEC) is a distribution cooperative in rural northeastern Oregon. Unlike IOUs, UEC does not generate its own electricity; it purchases power wholesale, primarily from the Bonneville Power Administration (BPA) and supplemented by open-market purchases to serve large industrial loads.3

Rural cooperatives like UEC face a structural cost challenge: high fixed costs for maintaining poles and wires across low-density terrain. These costs are spread across a small member base, making them more vulnerable to rate shocks from sudden large load growth.

The Challenge

The arrival of hyperscale data centers rapidly transformed UEC from a small rural cooperative built to serve a rural agriculture region into a high-density power provider. Data centers now account for over 80% of total system load.4

The Response

To meet demand, UEC established a long-term Power Supply Agreement (PSA) for large industrial members, purchasing power on the open market specifically to serve those accounts.

Outcomes for Ratepayers

Electricity costs under the PSA are passed directly to qualifying large industrial members, not spread across all ratepayers, resulting in measurable savings. However, infrastructure upgrade costs were spread across the broader ratepayer base.

Neighboring Example: NWCPUD – Municipal Utility, Oregon

Northern Wasco County People’s Utility District (NWCPUD), a neighboring municipal utility, has hosted data centers since 2005 and offers a contrasting model. NWCPUD does not subsidize new loads by the existing rate class. When new large loads seek to connect, NWCPUD conducts detailed load studies and establishes special contracts that recover 100% of infrastructure upgrade costs from the large load customer to ensure residential and small business customers do not shoulder the cost.

Intended Use: This content is intended for educational purposes only. NACo does not endorse any particular strategy or approach. For official NACo positions, please refer to the American County Platform.

Electricity Market Structure Impact on Electricity Bills

A comparison of how restructured and vertically integrated markets allocate large loads

Changes in electricity prices are driven by a range of factors, including electricity market structure. For example, when a new large load customer arrives in a region, its impact on electricity bills will depend heavily on the type of market in which the utility operates and the regulatory rules that govern how costs are allocated across the customer base.

The three cases below illustrate how the same underlying pressure from large load growth produces varying ratepayer outcomes depending on market design.

Key Takeaway

In a vertically integrated market with high baseline costs, large loads can be a net financial benefit to all ratepayers, but only if the regulatory framework ensures they pay their fair share upfront. California’s Rule 30 provides one example of how tariff design can structure this cost allocation.

Background

Pacific Gas and Electric Company (PG&E) is California’s largest investor-owned utility, serving roughly 16 million people across Northern and Central California. It operates under close state oversight as a vertically integrated utility, meaning one entity manages generation, transmission and distribution under regulated rates set by the California Public Utilities Commission (CPUC).1

The Challenge

In California, renewable energy deployment, wildfire mitigation and increased electrification are contributing to high electricity and grid costs for all PG&E customers.

The Response

PG&E’s new tariff, Rule 30, requires data centers to pay upfront for any necessary grid upgrades for their facilities. Rule 30 also includes customer protections if anticipated large load customers do not materialize, ensuring that costs are not shared with ratepayers if projects are canceled.2,3

Outcome for Rate Payers

A recent analysis by Energy and Environmental Economics (E3), prepared for PG&E, found that large loads can lower electricity rates for utility customers by generating revenue that exceeds maintenance and service costs, effectively acting as a financial subsidy for the grid.4

Key findings from the E3 analysis:

  • For every 1 gigawatt (GW) of new data center capacity added to PG&E’s system, average household electricity bills could decrease by 1 to 2%. With 10 GW of large load growth, total household bill reductions could reach 10%.
  • Data centers’ consistent, around-the-clock load optimizes grid utilization in ways that residential demand does not.
  • Revenue surpluses from large loads help cover PG&E’s broader fixed costs, including grid modernization and wildfire mitigation, reducing what residential and small business customers would otherwise owe.

The E3 analysis estimates that without large load contributors, a greater share of PG&E’s multi-billion-dollar infrastructure costs would be borne by existing ratepayers. Rule 30’s upfront cost recovery requirement ensures that if a large load customer does not materialize, those costs do not transfer to the general ratepayer base.

Key Takeaway

In deregulated markets without capacity mechanisms, large load growth can trigger rapid price signals through congestion pricing that residential customers feel before infrastructure upgrades are complete. Texas SB 6 represents one legislative approach to assigning interconnection costs directly to large load customers in this type of market.

Background

Texas operates a uniquely restructured electricity market through the Electric Reliability Council of Texas (ERCOT). ERCOT is an energy-only market with no capacity market, and generators are paid nodal prices for the electricity they produce.. While this model incentivizes efficiency, areas with high transmission congestion and new concentrations of large demand can experience price volatility when infrastructure does not keep pace with growth.5

The Challenge

In areas where transmission infrastructure cannot keep pace with new large load growth, ERCOT’s nodal pricing model means congestion costs are felt quickly and directly. When transmission lines become constrained, the Locational Marginal Price (LMP) — the cost of delivering power to a specific location — rises sharply. Those costs work their way into contracts and ultimately into customer bills.6,7

Physical geography compounds this challenge. Routing new transmission through mountain passes or right-of-way-restricted corridors can be expensive, and those costs are shared across the state’s ratepayer base under ERCOT’s regional reliability framework.

The Response

Texas Senate Bill 6 (SB 6), signed by Governor Abbott in June 2025, requires large load customers to bear their own interconnection costs, establishing interconnection standards designed to minimize stranded asset risk and protecting overall system reliability from unplanned large load growth.8

Outcome for Ratepayers

Prior to SB 6, when new large load demand required more power than local transmission lines could carry, the resulting congestion was reflected in rising Locational Marginal Prices that went into retail electricity contracts and increased costs for all customers in the affected area.

SB 6 shifts interconnection costs directly to large load customers going forward, reducing the risk that future infrastructure investments are shared across existing ratepayers.

Key Takeaway

Municipal utilities operating under wholesale power contracts have less direct control over cost drivers than IOUs or cooperatives. Rate transparency and regulatory advocacy are tools available to manage cost impacts on residential ratepayers.

Background

South Carolina’s municipal utilities operate as vertically integrated entities under close state oversight, but their pricing is heavily driven by factors outside their direct control: pass-through fuel costs, federally approved transmission rates and bilateral power supply contracts with larger generation providers. 9

The Challenge

Because these cost drivers can all be indirectly affected by changes in the market, municipal utilities in South Carolina have limited ability to ensure residential rates accurately reflect actual service costs. When market conditions shift, costs can change in ways that are difficult for ratepayers to anticipate or contest.

Municipal utilities in this environment must rely primarily on advocacy in federal (FERC) and state regulatory proceedings to protect residential rates, rather than having direct ratemaking authority over the cost drivers themselves. Under the Base Load Review Act, SCE&G was allowed to pass through financing costs to ratepayers for a large load nuclear project via a rider.10

The Response

Municipal utilities in South Carolina have engaged in state and federal regulatory proceedings to advocate for rate structures that more accurately reflect service costs. Where possible, utilities have pursued greater transparency in billing to help ratepayers understand the external drivers behind rate changes. 11

When the above mentioned project was abandoned, the South Carolina Public Service Commission and legislature conducted a prudency review, ultimately issuing rate cuts and refunds (roughly $2.4–4.6 billion in relief to ratepayers) because the costs were found to have been imprudently incurred.

Outcome for Ratepayers

Residential ratepayers in municipal utility territories may see rate changes that are difficult to trace to a specific cause or decision point. Rate transparency and active participation in regulatory proceedings remain the primary tools available to manage cost impacts.

Intended Use: This content is intended for educational purposes only. NACo does not endorse any particular strategy or approach. For official NACo positions, please refer to the American County Platform.

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County News

The "Backslash Backlash:" Counties pivot in the data center buildout

Data center development across the country has put a new focus on county policies, how they regulate land use and more for local residents and how they could shape the path for economic growth built around artificial intelligence and information technology.

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