Electricity Retail Pricing Packages for the Energy Transition: International Experience, Design Mechanisms, and Emerging Trends

Authors

  • Hang Jing State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China
  • Yansong Xia State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China
  • Houzhi Li State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China
  • Mingze Gao State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.4119

Keywords:

Datacenter design, energy efficiency of datacenter, energy efficient metrics, datacenter carRetail electricity tariffs, time-of-use pricing, real-time pricing, subscription-based tariffs, electric vehicle charging packages, risk-sharing mechanisms

Abstract

Retail electricity tariffs have transitioned from uniform cost-recovery schemes to diversified packages that incorporate temporal, locational, and carbon-intensity signals. This paper reviews the evolution of retail pricing mechanisms, their global applications, and the design principles that underpin modern tariff innovation, and it further identifies electric-vehicle (EV) charging tariffs as a rapidly expanding subset within this broader transformation. Drawing on cases from the United States, the European Union, Australia, Japan, and China, the review traces the progression from traditional two-part tariffs to smart-meter-enabled time-of-use pricing, real-time dynamic rates, and subscription–dynamic hybrid designs. Core mechanisms – marginal-cost reflection, risk hedging, digital customer segmentation, and vehicle-to-grid integration – are evaluated in terms of system efficiency, cost recovery, and distributional fairness. Evidence shows that time-of-use pricing combined with automated control can reduce peak load by 5%–15%, real-time pricing pilots achieve up to 20% load shifting, and subscription-based EV tariffs lower annual charging expenses by 25%–35% while maintaining renewal rates above 90%. The analysis concludes that jurisdictions capable of integrating digital infrastructure, flexible regulation, and equity safeguards are best positioned to deliver retail tariff designs that are efficient, resilient, and socially inclusive.

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Author Biographies

Hang Jing, State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China

Hang Jing received the master’s degree in Electrical Engineering (educational background: master’s degree). He holds the title of Senior Engineer. His research area includes Electrical Engineering.

Yansong Xia, State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China

Yansong Xia received the master’s degree in Electrical Engineering (educational background: master’s degree). He holds the title of Senior Engineer. His research area includes Electrical Engineering.

Houzhi Li, State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China

Houzhi Li received the master’s degree in Management Science and Engineering (educational background: master’s degree). He holds the title of Senior Engineer. His research area includes Management Science and Engineering.

Mingze Gao, State Grid Smart Vehicle-to-Grid Technology Co., Ltd., Beijing 100031, China

Mingze Gao received the master’s degree in Data Science and Engineering (educational background: master’s degree). He holds the title of Junior Engineer. His research area includes Data Science and Engineering.

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Published

2026-02-17

How to Cite

Jing, H. ., Xia, Y. ., Li, H. ., & Gao, M. . (2026). Electricity Retail Pricing Packages for the Energy Transition: International Experience, Design Mechanisms, and Emerging Trends. Distributed Generation &Amp; Alternative Energy Journal, 41(01), 193–244. https://doi.org/10.13052/dgaej2156-3306.4119

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Renewable Power & Energy Systems