<p>Distributed hybrid energy systems offer a promising avenue for sustainable energy transitions, yet they face challenges such as variable electricity supply, which can lead to surpluses or deficits. This study proposes utilizing excess electricity for grain drying via electric boilers, thereby enhancing system efficiency and supporting sustainable agriculture. However, the complexity of these multi-input, multi-output cogeneration systems introduces uncertainties, requiring more adaptable energy management strategies. Traditional dispatch methods assign fixed buyer and seller roles to prosumers based on predicted production and consumption, limiting real-time adjustments. To overcome this limitation, a proportional-integral-derivative-driven Stackelberg game theory approach is proposed, where the energy system acts as the leader and electricity and heat consumers as followers. This dynamic strategy enables role flexibility in response to real-time pricing, giving consumers control over their energy use for better economy. The objective is to implement this innovative energy-sharing management strategy for a cogeneration system, optimizing load shifting, power sharing, and time-of-use costs while considering environmental impacts through detailed life cycle assessment to improve the sustainability of the cogeneration unit. Finally, the multi-criteria decision-making approach is included to decide the optimal solution. The results show that the solar-wind-diesel generator-battery system is cost-effective, averaging $0.244/kWh with minimal economic variation (30% standard deviation) and moderate environmental impacts, thus paving the way for a more sustainable energy future.</p>