[LDES-coremodel] [LDES] planning reserves

[Daniel M. KAMMEN]

Great step — thanks.

Small hydro may be included?

In a bigger question, a 15% reserve margin made historic sense in
California.

Should we also Be running cases with this changed due to the opportunity to
firm that up with long-term storage that also has other economic benefits?
For this Kenji’s comment s are very interesting, too.

On Wed, Mar 3, 2021 at 12:39 PM Julia Szinai <jszinai at berkeley.edu> wrote:

> Hi team,
> Now that we've gotten the baseline data updates feasible again (yay!), I'm
> planning to start a new SWITCH run to test the inclusion of
> planning reserves.
>
> Thanks Kenji for presenting about the different options for the planning
> reserves. Here's my plan for how to start implementing for the baseline:
>
> 1. Planning reserve margin for peak load only (not all timepoints)
>
>    - for a future scenario, there may be some way to get at the flexible
>    resource adequacy requirements by using the "all time points" option, and
>    setting the requirement to be higher for certain hours, and 1 for all other
>    hours
>
> 2. Planning reserve margin applied for all load zones, with the
> requirements combined by utilities in CA and AZ (ie all PG&E load zones
> collectively have to reach 15% planning reserve requirements, rather than
> individually, same with SCE, and APS in AZ)
>
>    - we can also test if all of them have to reach the PRR individually
>
>
> 3. Use 15% reserve margin for all load zones to start
>
>    - future scenario with 20% in CA load zones
>
> 4. Include all resources as able to provide capacity reserves:
>
>    - including residential and commercial PV, since we are treating these
>    as generators and not "load-modifiers" which is how I've done resource
>    adequacy calculations before (reserve margin = 1.15 * (peak load - rooftop
>    solar - energy efficiency))
>
> 5. Using default capacity values to start
>
>    - Default is 1 for non-renewables
>    - Default is maximum capacity factor for renewables: what I don't know
>    is if that is the capacity factor maximum across all hours or just that
>    hour?
>    - Would be good to test how the results change with using ELCC
>    (effective load carrying capacity) for solar and wind, which I believe is
>    what is used for the IRP.
>
> 6. I don't think that hydropower is included in "renewables" here, so for
> their capacity value for each time point, I'm using the average capacity
> factor for that month, based on monthly average_flow_mw * hours in
> month/nameplate capacity
>
>    - Not sure if there is a better way to do this?
>
> Let me know if you have any thoughts on this.
> Thanks,
> Julia
> --
> *Julia Szinai*
> PhD Candidate | Energy & Resources Group | University of California,
> Berkeley
> Graduate Student Researcher | Lawrence Berkeley National Lab
> NSF InFEWS Fellow
> Energy & Resources Group, MS '17
> Goldman School of Public Policy, MPP '17
> University of California, Berkeley
> jszinai at berkeley.edu
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