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The IEEE Reliability Test System: A Proposed 2019 Update

The evolving nature of electricity production, transmission, and consumption necessitates an update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The update presented here introduces a generation mix more representative of modern power systems, with the removal of several nuclear and oil-generating units and the addition of natural gas, wind, solar photovoltaics, concentrating solar power, and energy storage. The update includes assigning the test system a geographic location in the southwestern United States to enable the integration of spatio-temporally consistent wind, solar, and load data with forecasts. Additional updates include common RTS transmission modifications in published literature, definitions for reserve product requirements, and market simulation descriptions to enable benchmarking of multi-period power system scheduling problems. The final section presents example results from a production cost modeling simulation on the updated RTS system data.
- Sandia National Laboratories United States
- National Renewable Energy Laboratory United States
- VTT Technical Research Centre of Finland Finland
- Sandia National Laboratories United States
- VTT Technical Research Centre of Finland Finland
power system modeling, ta213, power system operations, reliability test system, production cost modeling, exact reliability indices, power system planning, Power system economics, power system reliability, SDG 7 - Affordable and Clean Energy, benchmarking, ta218
power system modeling, ta213, power system operations, reliability test system, production cost modeling, exact reliability indices, power system planning, Power system economics, power system reliability, SDG 7 - Affordable and Clean Energy, benchmarking, ta218
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).138 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
