Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This paper presents an energy scheduling-based formulation for computing operating envelopes including a distribution branch screening algorithm. The contribution of the paper is two-fold: first, it presents an innovative methodology for calculating operating envelopes using energy scheduling (baseline), and second, it enhances this methodology by incorporating a custom distribution branch screening algorithm (DBS-ES). The custom algorithm leverages power system knowledge to reduce both model build time and total processing time while maintaining the same scheduling objective value as the baseline. The effectiveness of the proposed approach is demonstrated through experiments on the IEEE13, IEEE123, and EPRI Secondary test feeders. Results highlight a 24.5\% decrease in model build time and an 8.17\% decrease in total processing time when using DBS-ES compared to the baseline, specifically for the IEEE123 test feeder. Also, the paper briefly discusses the influence of utility-controlled storage on computing operating envelopes, noting a general increase in the overall hosting capability of the envelopes. Finally, a discussion on the equilibrium of the proposed iterative approach is presented.
Recommended Citation
Fernandez, Jorge and Grijalva, Santiago, "Energy Scheduling-based Operating Envelopes including a Distribution System Branch Screening Algorithm" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 7.
https://aisel.aisnet.org/hicss-58/es/renewable_resources/7
Energy Scheduling-based Operating Envelopes including a Distribution System Branch Screening Algorithm
Hilton Waikoloa Village, Hawaii
This paper presents an energy scheduling-based formulation for computing operating envelopes including a distribution branch screening algorithm. The contribution of the paper is two-fold: first, it presents an innovative methodology for calculating operating envelopes using energy scheduling (baseline), and second, it enhances this methodology by incorporating a custom distribution branch screening algorithm (DBS-ES). The custom algorithm leverages power system knowledge to reduce both model build time and total processing time while maintaining the same scheduling objective value as the baseline. The effectiveness of the proposed approach is demonstrated through experiments on the IEEE13, IEEE123, and EPRI Secondary test feeders. Results highlight a 24.5\% decrease in model build time and an 8.17\% decrease in total processing time when using DBS-ES compared to the baseline, specifically for the IEEE123 test feeder. Also, the paper briefly discusses the influence of utility-controlled storage on computing operating envelopes, noting a general increase in the overall hosting capability of the envelopes. Finally, a discussion on the equilibrium of the proposed iterative approach is presented.
https://aisel.aisnet.org/hicss-58/es/renewable_resources/7