2.
Provide your organization’s comments or remaining questions on the ISO’s overview of the mechanics of GHG attribution in EDAM and WEIM:
Vistra appreciates the CAISO team walking through its view of its requirements that it must align its approach to greenhouse gas (GHG) attribution with its requirement to satisfy the “CAISO least-cost dispatch principles”. Vistra remains concerned that CAISO’s approach to GHG attribution may not align with least-cost dispatch principles. Based on fundamental economic principles, when a market consciously decides to incorporate negative environmental externality into finding the efficient equilibrium price, the accurate total production cost will necessarily increase to reflect the cost of that externality. But, the focus should not be whether or not total production costs are increased. CAISO’s goal should be to ensure that it accurately reflects total production costs, including externalities, particularly given CAISO has made the explicit decision to reflect GHG attribution. This is the right economic outcome, consistent with least cost dispatch principles.
We believe the CAISO market has already adopted the decision to incorporate the negative externality through internal resources offers including the cost of compliance and through determining a marginal GHG clearing price that values the marginal cost of increasing net export energy assumed to be delivered to the GHG area so the market can evaluate the trade-off of incremental internal versus external generation including the cost of compliance represented in the GHG bid adders. However, given limitations with the attribution methodology the market valuation of that trade-off is inaccurate in certain market instances, and the market incorrectly decides to increase reliance on external resources instead of internal generation that was more economic. We request CAISO clarify that least-cost dispatch principles include ensuring that the negative externalities are accurately valued first so that the least-cost dispatch is accurate and efficient after accounting for the externality.
Separately, while there was a lot of focus on secondary dispatch, the CAISO has yet to focus on the problem statement that Vistra has been raising through the Extended Day-Ahead Market greenhouse gas working group and in our board letter on the first order dispatch impacts to internal greenhouse gas area resources when the marginal GHG clearing price fails to accurately capture the negative externalities associated with the net export energy above what is already serving external areas’ loads – first order impact of inappropriately displacing less expensive internal GHG area resource. We request the CAISO please provide an overview of your mechanics not only from the perspective of the external GHG area resources but also from the internal GHG area resources. Vistra would appreciate CAISO providing specific information on market outcomes to internal resources to enable stakeholders to better understand both the volume and type of resources that were not awarded or dispatched, potentially due to this concern.
3.
If your organization suggested GHG metrics, please provide the problem statement the metric relates to (or if none exists, please draft one and provide it), any regulatory requirement associated with providing the data, and the details associated with the metric (metric, cadence, granularity, etc.). Please also provide any feedback to the discussion on GHG metrics.
Vistra submitted GHG metric requests in our January 30, 2023 Joint Letter to the Western Energy Imbalance Market Governing Body and California ISO’s Board of Governors on the Extended Day-Ahead Market specifically with our concerns with the existing GHG framework and specific GHG metric requests.[1] Vistra resubmits our GHG metric requests below, which should shed light on all four problem statements to some extent.
The following is a detailed description of information that would enable stakeholders to better understand the GHG emissions associated with increased electricity production by different types of resources located in different EIM entities. The aggregated metrics described below are analogous to similar information previously released by the CAISO or by its Department of Market Monitoring for specific time periods, and should not raise any confidentiality concerns. The results of the below analysis should provide a more accurate picture of the types of resources that are incrementally dispatched in the WEIM when California or Washington (once implemented) was receiving imports from the external non-GHG regulation areas. The results of the analysis will also provide a more accurate estimate of the average and total GHG emissions associated with WEIM imports serving load in the GHG regulation area(s), which can be compared to the GHG emissions of the resources “deemed” by the CAISO’s GHG approach and to the emissions factors for unspecified imports used by environmental regulators in GHG-pricing states to require after the fact compliance for secondary dispatches, or resource shuffling impacts.
Request 1: Average resource fuel mix of incremental output dispatched in the Western EIM, by EIM BAA and by month since January 2021.
Using CAISO 5-minute data on each EIM Participating Resource, separately for each EIM BAA:
- Calculate positive incremental output (above base schedules) for each EIM Participating Resource;
- Sum all positive incremental output quantities for each resource fuel type (i.e., hydro, natural gas combined cycle, natural gas peaker, coal, renewable, and other) in each EIM BAA.
- Sum the incremental output for each resource fuel type over all 5-minute intervals in each month.
- Calculate each resource fuel type’s percent share of total incremental output for each month.
- Estimate incremental GHG emissions by multiplying the incremental output quantity of each resource fuel type by an estimated GHG emissions factor for that resource fuel type[2].
- Calculate the estimated GHG emissions rate by dividing the total increment GHG emissions, above, by the total increment output.
Output 1-1: Percent share, by resource fuel type, of incremental output for each EIM BAA, for each month since January 2021.
Output 1-2: Estimated GHG emissions rate, for each EIM BAA, for each month since January 2021.
Request 2: Average resource fuel mix of EIM net exports, by EIM BAA and by month since January 2021.
For each month and for each EIM BAA:
- Identify the 5-minute intervals in which the EIM BAA was a net exporter in the Western EIM.
- For each 5-minute interval identified in Step 1:
- Sum the positive incremental output of each resource fuel type.
- Calculate each resource fuel type’s share of total incremental output.
- Allocate the net export quantity to each resource fuel type by multiplying the net export quantity by the percent share of each resource fuel type.
- Sum the allocated net export quantity for each resource fuel type over all 5-minute intervals identified in Step 1 for each month.
- Calculate each resource fuel type’s percent share of total EIM net exports for each month.
- Multiply the allocated monthly net export quantity for each resource fuel type by the estimated GHG emissions factor for that fuel type.
- Sum the estimated GHG emissions across all resource fuel types.
- Divide the above by the monthly net export quantity.
Output 2-1: Percent share, by resource fuel type, of EIM net exports for each EIM BAA in each month since January 2021.
Output 2-2: Average GHG emissions factor for EIM net exports for each EIM BAA, by month since January 2021.
Request 3: Average resource fuel mix of EIM imports serving California load, by month since January 2021.
- For each month, identify 5-minute intervals in which California BAAs received WIEM net imports.
- For each interval in Step 1:
- Identify each EIM BAA that was a net exporter in the Western EIM in the same interval.
- Sum allocated net export quantity per resource fuel type for all WEIM BAAs identified in Step 2a.
- Calculate each resource fuel type’s share of total EIM net exports
- Allocate the California net import quantity to each resource fuel type by multiplying the California net import quantity by each resource fuel type’s percent share of total EIM net exports from Step 2.c.
- Sum the allocated California net import quantity for each resource fuel type for all 5-minute intervals identified in Step 1 for each month.
- Calculate each resource fuel type’s percent share of total California net imports for each month.
- Multiply the allocated monthly California net import quantity for each resource fuel type by the estimated GHG emissions factor for that fuel type.
- Sum the estimated GHG emissions across all resource fuel types.
- Divide the above by the monthly California net import quantity.
Output 3-1: Percent share, by resource fuel type, of EIM net imports serving California load, by month since January 2021.
Output 3-2: Average GHG emissions factor for EIM net imports serving California load, by month since January 2021.
[1] Vistra Letter on Extended Day-Ahead Market decision, January 30, 2024, https://www.caiso.com/Documents/VistraPublicComment-DecisiononExtendedDay-AheadMarket-Jan30-2023.pdf.
[2] For example, 0 MT/MWh for hydro, wind, solar and nuclear generation; 0.424 MT/MWh for natural gas combined cycle generation; 0.6 MT/MWh for natural gas combustion turbine; and 1.0 MT/MWh for coal-fired generation.
4.
Problem Statements:
a.Please identify if you are willing to be a problem statement / sub-problem statement sponsor. This could entail leading a discussion on the rationale behind the problem statement and facilitating a discussion with other working group members.
b. Provide your organization’s comments on the consolidated problem statements and prioritization:
As mentioned above, Vistra noticed in the last working group session that CAISO is focusing almost exclusively on secondary dispatch and losing sight of the other important problem statement that is a first order impact to resources internal to GHG areas being inappropriately displaced when the marginal GHG clearing price is suppressed relative to the external emission rates supporting any net import transfer. Please see the excerpt below from Vistra’s board letter with the problem statement that we would like to see prioritized in this problem statement list.
“A well-functioning market should ensure reasonably accurate greenhouse gas price formation and resulting market outcomes. Vistra is concerned that the EDAM GHG proposal may not achieve this goal because it will over-credit capacity from external resources, and consequently that our non- and lower-emitting resources in the California GHG regulation area will be displaced in preference for higher emitting external resources due to the market design.”[1]
Vistra’s view of the problem statement is that we would like to also focus on issues with attribution leading to increased risks of uneconomically displacing internal generation in addition to the secondary dispatch issue. Our primary concern is with the real life risks imposed on our internal GHG generation dispute the investments we have made to provide better than class average emission rates or to provide new clean energy storage resources with no emission rates. If the uneconomic displacing of our generation occurs due to a limitation in the GHG design that unfairly harms generation inside the GHG area.
Vistra recommends CAISO combine problem statements 1-3 as they all appear to relate to limitations with the attribution leading to potential adverse outcomes including displacing internal economic resources or increasing secondary dispatch. Vistra is happy to sponsor, or co-sponsor, a problem statement combining 1-3 that includes adverse impacts of uneconomically displacing internal GHG resources due to limitations with the GHG attribution approach.
[1] Vistra letter to the WEIM Governing Body and CAISO Board of Governors, January 30, 2023, page 1.