Currently, the model dispatches RPS qualifying resources to meet the RPS in two passes. In the first pass, negatively priced resources are dispatched. If available supply exceeds demand in a given hour, resources are proportionally curtailed. Then the model moves to dispatching positive cost resources.
In the Ohio EPS we observed a phenomenon where the cost of natural gas CCS plants moved from negative to positive cost in 2044, moving it from the first pass to the second. When this happened there was a big increase in wind generation and decrease in natural gas CCS because the wind was being curtailed to accommodate the CCS when the dispatch cost was negative. Once positive, the CCS become marginal to the wind so its capacity factor dropped.
We should revise this to create a ranked system or an optimization loop that dispatches in order of least to highest cost and curtails appropriately.
Currently, the model dispatches RPS qualifying resources to meet the RPS in two passes. In the first pass, negatively priced resources are dispatched. If available supply exceeds demand in a given hour, resources are proportionally curtailed. Then the model moves to dispatching positive cost resources.
In the Ohio EPS we observed a phenomenon where the cost of natural gas CCS plants moved from negative to positive cost in 2044, moving it from the first pass to the second. When this happened there was a big increase in wind generation and decrease in natural gas CCS because the wind was being curtailed to accommodate the CCS when the dispatch cost was negative. Once positive, the CCS become marginal to the wind so its capacity factor dropped.
We should revise this to create a ranked system or an optimization loop that dispatches in order of least to highest cost and curtails appropriately.