Can PYPSA model security constrained unit commitment problem?

[Bo Lu]

Hi Fabian,

The Pypsa unit commitment example in github doesn't include transmission flow constraints. I wounder if Pypsa can model security constrained unit commitment problem.

Regards,

Bo

[Bo Lu]

Did some search and found the positive answer in following link.

https://github.com/PyPSA/PyPSA/issues/146

I am planning to run SCUC with a decent size of network.

Can you show me where is the csv file format I can use to load the network?

Regards,

Bo

[Fabian Neumann]

Hi Bo,

if you run n.sclopf() with committable generators and the network has
lines, you'd get both

unit commitment on generators

https://pypsa.readthedocs.io/en/latest/components.html#generator

and

N-1 constraints on transmission lines

https://pypsa.readthedocs.io/en/latest/contingency_analysis.html#security-constrained-linear-optimal-power-flow-sclopf

The CSV format is not different to those without UC, just that you
specify a few extra columns e.g. for start_up_cost, min_up_time etc...

Best wishes,

Fabian

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[Bo Lu]

Hi Fabian,

Thanks for the links which are very helpful.

one more question is about the reserve requirements which are common for energy-as co-optimization.

However I didn't see this feature in the Pypsa document.

Can you shed more light on this topic?

Regards,

Bo

[Fabian Neumann]

Hi Bo,

reserve constraints are not included in PyPSA by default.

You can add a custom constraint that does something like this.

https://github.com/PyPSA/pypsa-eur/blob/402f2cd48e00776b19aa25acbd44441b9a969b77/scripts/solve_network.py#L202-L211

Best wishes,

Fabian

On 17.02.22 19:42, Bo Lu wrote:
> Hi Fabian,
>

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>
>
> --
> Dr.-Ing.
> Fabian Neumann (he/him)
> Postdoctoral Researcher
>
> Department of Digital Transformation in Energy Systems
> Institute of Energy Technology
> Technische Universität Berlin
>
> Group website: https://tub-ensys.github.io
> <https://tub-ensys.github.io>

> Personal website: https://neumann.fyi <https://neumann.fyi>

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[Bo Lu]

I am currently focus on the battery storage.

The current SOC model in Pypsa assumes SOC min limit at 0mwh.

However, the battery can never reach to that level of low SOC in reality.

Usually min SOC is set as about 20% of max SOC.

I think it should be straight-forward to enforce min SOC by introducing min SOC as % value of max SOC in the "storage unit" component.

This quick improvement will make the storage unit model closer to real practice.

 

Regards,

Bo

On Wednesday, February 16, 2022 at 3:54:45 PM UTC-6 Bo Lu wrote:

[Bo Lu]

Hi Fabian,

Thanks again for the quick reply on the reserve constraint.

However, the reserve constraint I expect is more than the custom constraint you provided.

In my expectation, different generator can provide different types of reserves with different amount (typically limited by ramp rate and specified ramping time).

For each generator, energy and various reserves will compete for the shared available capacity. 

So the extra constraints should like below:

sum_i(reserve_up_1_i_t) >= RESERVE_UP_1_t

sum_i(reserve_up_2_i_t) >= RESERVE_UP_2_t

sum_i(reserve_dn_1_i_t) >= RESERVE_DN_1_t  

P_i_t +  reserve_up_1_i_t  +  reserve_up_2_i_t  <= Pmax_i_t

P_i_t  - reserve_dn_1_i_t >= Pmin_i_t  

I think new parameters may be required in the generator component in order to add these constraints.

It will need some effort to implement these changes, but want to get your thought on the path to the implementation.

Regards,

Bo