A novel framework for the day-ahead market clearing process featuring the participation of distribution system operators and a hybrid pricing mechanism
The electricity market liberalization propelled by the increased operational flexibility observed in distribution systems urges the development of mathematical models for competitive electricity markets accounting for the participation of distribution systems operators. Most existing approaches mode...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/40021 |
| Acceso en línea: | https://hdl.handle.net/10578/40021 |
| Access Level: | acceso abierto |
| Palabra clave: | Bilevel optimization Distributed energy resources Distribution system operators Energy pricing Wholesale day-ahead market |
| Sumario: | The electricity market liberalization propelled by the increased operational flexibility observed in distribution systems urges the development of mathematical models for competitive electricity markets accounting for the participation of distribution systems operators. Most existing approaches model the interaction between the agents and the market as a bilevel programming problem, wherein the market is characterized at the lower level. Hence, the upper-level agents objective function is favored over minimizing the costs of supplying the systems demand. In this paper, a new bilevel formulation is proposed. In the upper level, the market operator determines the optimal energy price that ensures the demand supply and maximizes the overall social welfare. In the lower level, the generation companies and distribution systems operators determine the amount of energy injected/extracted into/from the transmission system to maximize profits/minimize operational costs. A new pricing method is proposed in this paper as an alternative to the transmission systems dual variables, which are inaccessible under the proposed framework. The resulting nonlinear mixed integer bilevel programming formulation is transformed into an equivalent single-level mixed-integer linear program. Numerical results illustrate the proposed approachs effectiveness in maintaining the minimum operational costs while distributing the payoff amongst the agents. |
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