2026-06-02T16:17:43Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/411352026-02-03T11:18:04Zcom_10630_2254col_10630_37953

Market Power Mitigation in Transmission Expansion Planning Problems. Aguado-Sánchez, José Antonio Martín-Rivas, Sebastián Pérez-Molina, Carlos A. Rosehart, William D. Modelos matemáticos Análisis numérico The exercise of market power through network constraints in electricity markets can lead to high energy prices far from competitive prices. Traditional transmission expansion planning problem formulations do not consider strategic behavior of market agents. Therefore, they cannot capture the potential exercise of market power. In this paper, a predictor-corrector iterative algorithm is proposed to deal with market power mitigation in market-oriented transmission expansion planning problems. The predictor step consists of the solution of an equilibrium market model based on the conjectured supply function. The corrector step is a conventional transmission expansion planning posed as a mixed integer linear programming problem, where the feasible region is dynamically updated taking into account the results from the predictor step. Lerner index and other indices are used to quantify the potential market power. The algorithm finds the minimum cost expansion plan that avoids the exercise of market power through network congestion. The cost of this expansion plan is only slightly greater than the cost of a conventional expansion plan. The approach is illustrated using the 6-Bus Garver and the IEEE-24 RTS test systems. 2025-12-16T12:11:59Z 2025-12-16T12:11:59Z 2025-12-16T12:11:59Z 2023-02-13 journal article J. A. Aguado, S. Martin, C. A. Pérez-Molina and W. D. Rosehart, "Market Power Mitigation in Transmission Expansion Planning Problems," in IEEE Transactions on Energy Markets, Policy and Regulation, vol. 1, no. 2, pp. 73-84, June 2023, doi: 10.1109/TEMPR.2023.3244337. https://hdl.handle.net/10630/41135 10.1109/TEMPR.2023.3244337 eng /grantAgreement/Junta de Andalucía/Proyectos de Excelencia/PO20_01164 http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional IEEE Power & Energy Society (PES)