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@article{204917,
        author = {Nandu Sajan and Athul Krishna K.M and Nikhitha Sunil and Vishnu M Vijayan and Saritha K. S},
        title = {Multi-Objective Optimization Technique to Enhance Microgrid Performance by Optimal Placement of DGs and UPFC},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4759-4769},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204917},
        abstract = {Demand for a reliable power supply and increasing renewable energy utilization have added complexity to the power systems. Flexible AC Transmission Systems (FACTS) devices are essential for improving voltage stability, lowering power losses, and improving system performance. In this paper, the IEEE 33-Bus distribution system is taken as a base model and modified as a microgrid by incorporating solar, wind, storage units as energy sources with the utility source. Unified Power Flow Controller (UPFC), is employed to study the impacts of FACTS devices on the proposed microgrid system performance. The same system is optimized for increasing the renewable share, minimizing active power losses by optimal placement of Distributed Generator (DG) and FACTS devices. Moreover, voltage stability and small signal stability are also considered during optimization. In this study, various optimization algorithms such as Multi-Objective Particle Swarm Optimization (MOPSO) and Non-dominated Sorting Genetic Algorithm (NSGA-II) are compared in order to find the best way to achieve optimal placement and control of DG and UPFC devices to enhance the system performance.},
        keywords = {FACTS Devices, Line losses, Microgrid, Renewable energy, Voltage stability.},
        month = {June},
        }