**7. Conclusions**

To relieve the congestion and recognize the congestion management's importance in the power system, an attempt using FPA has been carried out in this paper. Generator rescheduling is used in this work for congestion managemen<sup>t</sup> with that to reduce the transmission congestion cost. Here a study has been carried out to solve the congestion problem by generator rescheduling with the help of flower pollination algorithm aimed at reducing transmission congestion cost. Then the algorithm is compared with the other optimization techniques taking the same constraints and outage. The efficacy of FPA in benefitting the ISO in reliving the congestion in terms of minimized congestion cost. It is marked that there is a considerable amount of decrease in congestion cost by the incorporation of pumped storage unit and is validated effectively by Flower Pollination Optimization. Furthermore, the effects of other network parameters like system losses and voltage has been computed. The result obtained proves effectiveness of the algorithm in terms of minimized cost convergence as compared with other recent trendsetting reported optimization techniques.

**Author Contributions:** All authors were involved in developing the concept, simulation, and validation and making the article an error-free technical outcome for the set investigation work.

**Acknowledgments:** The would authors like to acknowledge the Department of Energy Technology, Aalborg University, Esbjerg, Denmark for supporting this research activity for the insight technical guidance and providing technical information for this project.

**Conflicts of Interest:** The authors declare no conflicts of interest.

### **List of Symbols and Abbreviations**

