<![CDATA[The purpose of this research is to examine the economic and technical feasibility of prosumer-based energy management systems (EMS) in a grid-tied photovoltaic (PV) system coupled with a lithium-iron phosphate battery system on a university campus. A prosumer of grid-tied PV-battery energy storage systems (BESS) prioritizes superior economic performance and the viability of energy management through optimization-based control (OBC). The EMS employs a novel techno-economic approach where PSO and GA algorithms are tuned simultaneously to maximize efficiency and profitability for the prosumer. The parameter sets of each PSO and GA were adjusted to verify the best parameter set for maximizing net profit. The OBC approach utilizes metaheuristic techniques, specifically Particle Swarm Optimization (PSO) and Genetic Algorithms (GA), for dynamic BESS charging/discharging, while RBC (Rule-based control) focuses on minimizing net power imports and exports. The results from our analysis indicate that OBC strategies provide the highest net profit in trading, significantly outperforming RBC, even though RBC can reduce total electricity imports in the prosumer system. As a result of the dynamic charging/discharging patterns of OBC-PSO and OBC-GA, there is an increase in energy exports and better energy transfer, especially by using off-peak energy imports to sell later during on-peak hours. Quantitatively, OBC-PSO and OBC-GA achieved weekly net profit increases of 13.27% and 13.10%, respectively, compared to RBC. Furthermore, long-term economic analysis demonstrates that OBC-GA improves the Net Present Value (NPV) by 50% and reduces the Payback Time (PBT) by 1 year and 29 days compared to RBC. The impact of reducing BESS costs by 10% to 60% closely correlates with the further acceleration of PBT reduction rates for OBC strategies, as presented.]]>
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