Consumer-based Carbon Costs: Integrating Consumer Carbon Preferences in Electricity Markets
Wenqian Jiang, Aditya Rangarajan, and Line Roald

TL;DR
This paper proposes a method to incorporate consumer preferences for carbon emissions into electricity market clearing, leading to greener outcomes through redispatch and demand reduction.
Contribution
It introduces a novel market mechanism that assigns carbon costs to consumers and derives equilibrium prices, ensuring market properties are maintained.
Findings
Higher carbon costs lead to greener dispatch and demand reduction.
The proposed model maintains revenue adequacy and individual rationality.
Consumer-based carbon costs influence generation and consumption behaviors.
Abstract
An increasing share of consumers care about the carbon footprint of their electricity. This paper analyzes a method to integrate consumer carbon preferences in the electricity market-clearing by introducing consumer-based carbon costs and a carbon allocation mechanism. Specifically, consumers submit not only bids for power but also assign a cost to the carbon emissions incurred by their electricity use. The carbon allocation mechanism then assigns emissions from generation to consumers to minimize overall carbon costs. Our analysis starts from a previously proposed centralized market clearing formulation that maximizes social welfare under consideration of generation costs, consumer utility, and consumer carbon costs. We then derive an equivalent equilibrium formulation that incorporates a carbon allocation problem and gives rise to a set of carbon-adjusted electricity prices for both…
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Taxonomy
TopicsSmart Grid Energy Management · Electric Power System Optimization · Integrated Energy Systems Optimization
