A discussion on electricity prices, or the two sides of the coin

Author:

Pablo Luna Juan1,Sagastizábal Claudia2ORCID,Silva Paulo J. S.2

Affiliation:

1. Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

2. IMECC-Unicamp, Campinas, Brazil

Abstract

We examine how different pricing frameworks deal with non-convex features typical of day-ahead energy prices when the power system is hydro-dominated, like in Brazil. For the system operator, requirements of minimum generation translate into feasibility issues that are fundamental to carry the generated power through the network. When utilities are remunerated at a price depending on Lagrange multipliers computed for a system with fixed commitment, the corresponding values sometimes fail to capture a signal that recovers costs. Keeping in mind recent discussions for the Brazilian power system, we analyse mechanisms that provide a compromise between the needs of the generators and those of the system operator. After characterizing when a price supports a generation plan, we explain in simple terms dual prices and related concepts, such as minimal uplifts and bi-dual problems. We present a new pricing mechanism that guarantees cost recovery to all agents, without over-compensations. Instead of using Lagrange multipliers, the price is defined as the solution to an optimization problem. The behaviour of the new rule is compared to two other proposals in the literature on illustrative examples, including a small, yet representative, hydro-thermal system. This article is part of the theme issue ‘The mathematics of energy systems’.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Long-run optimal pricing in electricity markets with non-convex costs;European Journal of Operational Research;2023-05

2. Global Convergence of Algorithms Under Constant Rank Conditions for Nonlinear Second-Order Cone Programming;Journal of Optimization Theory and Applications;2022-06-27

3. A distributionally ambiguous two-stage stochastic approach for investment in renewable generation;European Journal of Applied Mathematics;2022-05-12

4. Introduction: the mathematics of energy systems;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2021-06-07

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