Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

This study evaluates the techno‐economic feasibility and technical performance of a grid‐connected hybrid renewable microgrid for Mongla Port, Bangladesh, using a dual‐framework methodology that integrates HOMER Pro–based lifecycle cost optimization with DIgSILENT PowerFactory–based quasi‐dynamic load flow analysis. The proposed system combines 250 kW solar photovoltaic, 450 kW wind turbines, and a national grid connection, optimally sized through least‐cost optimization across 8760 annual simulation hours. The optimal configuration (Scenario A) achieves a cost of energy of 0.0341 USD/kWh, net present cost of 531,132 USD, renewable fraction of 70.9%, and a simple payback period of 4.86 years, substantially outperforming the grid‐only baseline. Quasi‐dynamic load flow analysis confirms that renewable integration improves voltage regulation across all seasonal operating conditions, with a critical demand threshold of 350 kW identified beyond which reactive power compensation will be required. Seasonal analysis across representative winter, summer, and monsoon days demonstrates system robustness under the full range of meteorological and demand variability. Sensitivity analysis confirms economic viability under ±40% variations in key meteorological and financial parameters, identifying grid tariff escalation as the dominant risk factor. The findings provide transferable decision‐support guidance for coastal industrial microgrids across developing economies in South and Southeast Asia.