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Optimal integration of RES-based DGs with reactive power support capabilities in distribution network systems

S. F. Santos, D. Fitiwi, A. W. Bizuayehu, J.P.S. Catalão, M. Shafie-khah

13th International Conference on the European Energy Market - EEM16, Oporto (Portugal). 06-09 junio 2016


Resumen:

One of the major changes currently involving distribution network systems (DNSs) is the ever-increasing integration of renewable-based distributed generation (DG), wind and solar PV types in particular. This is dramatically influencing the planning and operation of distribution systems, in general. The traditional “fit-and-forget” approach is outdated. Current developments in the DNS would require new, efficient and robust planning and operation tools to support smooth integration of such DGs. The present work focuses on an optimal integration of renewable-based DGs with reactive power support capabilities. Accordingly, a stochastic mixed integer linear programming (S-MILP) model is developed that takes into account the optimal integration of RES-based DGs and reactive power sources. The developed model is tested using a standard IEEE distribution system. Test results show that integrating DGs with reactive power support capability significantly enhances voltage stability and improves the overall cost in the system. Simulation results show that setting the reactive power support capability of the RES-based DGs from 0.95 leading to 0.95 lagging leads to the maximum penetration level of wind and solar PV power in the system.


Palabras clave: distributed generation, distribution network, optimal integration, reactive power support, renewable energy sources.


DOI: DOI icon 10.1109/EEM.2016.7521317

Fecha de publicación: junio 2016.



Cita:
Santos, S. F., Fitiwi, D., Bizuayehu, A. W., Catalão, J.P.S., Shafie-khah, M., Optimal integration of RES-based DGs with reactive power support capabilities in distribution network systems, 13th International Conference on the European Energy Market - EEM16, Oporto (Portugal). 06-09 junio 2016.


    Líneas de investigación:
  • *Smart grids
  • *Green energy integration
  • *Planificación táctica a medio plazo
  • *Análisis de estrategia a largo plazo

IIT-16-186A

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