Lessons Learned from Performing an Integration Capacity Analysis (ICA)
By C. Van Leuven, J. Marenda
In September 2017, POWER Engineers Inc. completed a hosting capacity analysis project using Eaton Corporation’s commercially available Power Engineering Distribution Software (CYME) hosting capacity module, Integration Capacity Analysis (ICA), for Portland General Electric (PGE) in Portland, Oregon. The objective was to perform the analysis on one substation containing seven feeders as a pilot project to identify the capabilities and potential scalability of using CYME’s ICA tool system wide. The model and analysis included both the primary and secondary networks of each feeder under minimum and peak loading conditions. CYME’s ICA module utilizes both an iterative approach and heuristic calculations to calculate hosting capacity at all nodes. This is unlike CYME’s EPRI DRIVE module, which applies a streamlined approach using only heuristic approximations to calculate capacity at all nodes.
The results of the study revealed, in some cases, long simulation run times and troubleshooting to verify results are realistic to be the primary challenges when using CYME’s ICA module to simulate hosting capacity on large systems. Due to the computationally intensive iterative method approach, the way the feeders are modeled and the simulation parameters chosen should be thoroughly considered because of the larger impacts these items will have on the simulation time and result accuracy. If system wide analysis using ICA is to be performed, then there are several lessons learned that can help future hosting capacity studies by reducing the overall study run time and obtaining verifiable results. Presented in this paper are the findings of this hosting capacity study regarding the current capabilities and lessons learned for future system wide implementation.
This paper was presented at the 2018 CIGRE US National Committee Grid of the Future Symposium.