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M. Angelo Dissertation Defense

This work presents the application of a software tool that was developed to assesses the value of Battery Energy Storage (BES) systems to different types of electrical grid participants. BES systems help support increasing the amount of electricity demand served by intermittently available clean renewable energy resources because they provide a range of grid support services that deliver significant value to grid participants. The rate that BES systems are incorporated into the electrical grid depends on the perceived value of the services delivered to the entity using the BES system. In this talk I will discuss the application of the tool to two use cases. The first identifies potential areas for enhancing grid reliability with BES by characterizing the variability in net energy flows on the interties between balancing authorities (BAs) directly interconnected with the California Independent System Operator (CAISO). The second estimates the optimal size of BES system for IPPs participating in the CAISO wholesale energy market. The tool’s analytics support grid operators’ long-term grid planning efforts and operational reliability models and IPPs and utility customers economically size their systems.

Event Sponsor
Mechanical Engineering, Mānoa Campus

More Information
8088612149, M. Angelo - Defense Abstract (PDF)