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@article{182586,
        author = {Amit Kumar Sinha},
        title = {Review of PV-STATCOM Integration in Multimachine Power Systems with Soft Computing Control Strategies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {2623-2626},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182586},
        abstract = {The integration of solar photovoltaic (PV) systems into multimachine power systems presents both opportunities and challenges for ensuring grid stability amid dynamic disturbances. The PV-STATCOM, a hybrid configuration combining PV inverters with Static Synchronous Compensator (STATCOM) capabilities, enhances reactive power support and voltage regulation. This review synthesizes advancements in PV-STATCOM applications, with a focus on soft computing techniques such as Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA), and hybrid metaheuristic algorithms for controller optimization. Analysingrecent peer-reviewed articles, this paper evaluates the evolution of control strategies, their impact on transient and voltage stability, and integration challenges in multimachine environments. Findings underscore the efficacy of hybrid optimization algorithms in addressing nonlinear grid dynamics, though gaps persist in scalability, real-time implementation, and cybersecurity. Future research should explore advanced algorithms, energy storage integration, and hardware validation to broaden PV-STATCOM’s applicability in modern power systems.},
        keywords = {PV-STATCOM, Multimachine Power Systems, Soft Computing, Reactive Power Compensation},
        month = {July},
        }