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Información del artículo

A hybrid particle swarm optimization approach for explicit flexibility procurement in distribution network planning

M. Martínez, C. Mateo, T. Gómez, B. Alonso Santos, P. Frías

International Journal of Electrical Power & Energy Systems Vol. 161, pp. 110215-1 - 110215-14

Resumen:

Flexibility services enable distribution system operators to actively manage the grid for accommodating demand and generation growth while potentially reducing or delaying investments in grid reinforcements. This paper proposes a novel hybrid particle swarm optimization and linear programming methodology that analyzes explicit flexibility procurement as an alternative to conventional network reinforcements in electricity distribution network planning. The distribution system planning problem is decomposed into a master problem and an inner problem. Binary particle swarm optimization (BPSO) is used to determine the optimal investment decisions, binary variables, from a set of candidate grid reinforcements in the master problem. At the inner linear programming optimization problem, a market-based procurement of flexibility services is performed. The inner optimization problem obtains the total cost of flexibility and the volume of flexibility at each network bus required to defer or avoid part of the grid reinforcements. A real 500-bus medium voltage network is used to validate the proposed methodology. Results illustrate cost-effective network plans that combine flexibility procurement with network reinforcements. A sensitivity to the cost and availability of flexibility services is also conducted to calculate the thresholds where flexibility becomes an efficient alternative to reinforcing the network.


Resumen divulgativo:

Este artículo propone una metodología para planificar redes eléctricas de distribución que considera la contratación de servicios de flexibilidad como alternativa a inversiones en refuerzos de red. El caso de estudio para una red española de media tensión muestra la viabilidad práctica del modelo.


Palabras Clave: Distribution network planning; Demand response; Flexibility; Network reinforcement; Investment deferral


Índice de impacto JCR y cuartil WoS: 5,000 - Q1 (2023)

Referencia DOI: DOI icon https://doi.org/10.1016/j.ijepes.2024.110215

Publicado en papel: Octubre 2024.

Publicado on-line: Septiembre 2024.



Cita:
M. Martínez, C. Mateo, T. Gómez, B. Alonso Santos, P. Frías, A hybrid particle swarm optimization approach for explicit flexibility procurement in distribution network planning. International Journal of Electrical Power & Energy Systems. Vol. 161, pp. 110215-1 - 110215-14, Octubre 2024. [Online: Septiembre 2024]


    Líneas de investigación:
  • Redes inteligentes
  • Planificación y operación de recursos energéticos distribuidos