Electricity Tariff Design via Lens of Energy Justice
Hafiz Anwar Ullah Khan, Burcin Unel, and Yury Dvorkin

TL;DR
This paper introduces a justice-aware tariff design framework that balances economic efficiency and fairness, considering environmental and social impacts, using a game-theoretic multi-objective optimization approach evaluated on real power networks.
Contribution
It develops a novel multi-objective game-theoretic framework for designing equitable and efficient electricity tariffs incorporating externalities and consumer characteristics.
Findings
Granular tariffs improve equity and efficiency.
The framework reduces energy burden on consumers.
Evaluations on NY ISO networks validate effectiveness.
Abstract
Distributed Energy Resources (DERs) can significantly affect the net social benefit in power systems, raising concerns pertaining to distributive justice, equity, and fairness. Electricity tariff and DERs share a symbiotic relationship whereby the design of the former directly impacts the economic efficiency and equity in the system. Current tariff design approaches suffer from opaque efficiency-equity trade-offs and are also agnostic of the externalities that affect both economic efficiency and equity. Therefore, this paper develops a justice-cognizant tariff design framework that improves the economic efficiency of tariff without sacrificing its distributional equity, and encompasses economic welfare, social costs of environmental and public health impacts, and socio-economic and demographic characteristics of electricity consumers. The proposed framework is based on a Single Leader…
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Taxonomy
TopicsElectric Power System Optimization · Energy, Environment, and Transportation Policies · Electric Vehicles and Infrastructure
