Dynamic tariff-based demand response in retail electricity market under uncertainty
Arega Getaneh Abate, Rosana Riccardi, Carlos Ruiz

TL;DR
This paper develops a game-theoretical model to analyze demand response in retail electricity markets under uncertainty, considering both competitive and market power scenarios, with real data simulations illustrating economic impacts.
Contribution
It introduces a hierarchical decision-making framework modeling retailer-consumer interactions under uncertainty, using MPEC and MILP formulations with tractable KKT-based reformulations.
Findings
Market power allows retailers to increase profits at consumers' expense.
Perfect competition benefits both consumers and social welfare.
Consumer flexibility significantly influences market outcomes.
Abstract
Demand response (DR) programs play a crucial role in improving system reliability and mitigating price volatility by altering the core profile of electricity consumption. This paper proposes a game-theoretical model that captures the dynamic interplay between retailers (leaders) and consumers (followers) in a tariffs-based electricity market under uncertainty. The proposed procedure offers theoretical and economic insights by analyzing demand flexibility within a hierarchical decision-making framework. In particular, two main market configurations are examined under uncertainty: i) there exists a retailer that exercises market power over consumers, and ii) the retailer and the consumers participate in a perfect competitive game. The former case is formulated as a mathematical program with equilibrium constraints (MPEC), whereas the latter case is recast as a mixed-integer linear program…
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Taxonomy
TopicsSmart Grid Energy Management · Power Systems and Renewable Energy · Energy Load and Power Forecasting
