Reliability-Driven Optimization of Hybrid Renewable Systems: Assessing Capacity and Cost Credits
摘要
The transition to renewable energy is critical for sustainable power systems, yet optimizing cost and reliability in hybrid renewable energy systems (HRES) remains a challenge. This study designs and analyzes HRES composed of photovoltaic (PV), wind turbine (WT), and fuel cell (FC) components for stand-alone and grid-connected configurations, focusing on capacity and cost credits to quantify reliability and economic efficiency. The systems are optimized to minimize cost while maximizing reliability, revealing that the grid-connected system achieves a 13.1% reduction in total cost 73.016 M$ compared to the stand-alone system 84.025 M$, with similar reliability levels 97.58% vs. 97.22%. Additionally, the grid-connected system exhibits higher energy utilization, reducing dump energy by 34.2%. The stand-alone system achieves a slightly higher capacity credit 1.08 MW vs. 1.01 MW due to its full reliance on renewables. This research provides a robust framework for optimizing HRES in regions aiming for sustainable and resilient energy solutions. A novel contribution of this work lies in quantifying capacity and cost credit metrics, which support more informed design and planning of resilient HRES systems under energy transition goals.