Input and Model Data¶
Pomato represents a electricity market model, also denoted as dispatch problem, that needs a certain minimal dataset to run but can potentially accommodate a wide range of input data.
Therefore, a set of input parameters is defined as model_structure which represents the data that
is eventually used in the market model. All data part of the model_structure is initialized
as a pandas DataFrame attribute to the DataManagement class. Default values
exists for attributes that are optional or are automatically set in the default case.
Note, not all of these data has to included for all models. The IEEE case study for examples does not include district heating, dclines or electricity storages. However the model_structure defines the data (i.e. nodes, lines etc.) and their attributes and they can remain empty.
Also note that this data does not include data like fuel or technology. This type of data is not strictly necessary for a model run, therefore is not part of the model structure. However, it is fairly obvious that this kind of data is of high value for post processing of the model results. Therefore the input data does not have to be the same as the necessarily exactly the same as the model structure but has to contain the required data to run the desired type of model.
The full list of all data that can be used directly in the market model can be found here as a
json including their attributes, attribute types and
default values.
nodes¶
Network nodes. Besides the index, the corresponding zone has to be set and has to match existing
zone indices. The slack attribute is important for the calculation of the PTDF matrix and in case
of multiple non-synchronized sub-networks, each partition has to have a slack node. These are however
automatically checked and set in the initialization of the GridModel.
type |
default |
|
|---|---|---|
index |
any |
|
zone |
zones.index |
|
slack |
bool |
False |
voltage |
float64 |
220.0 |
lines¶
type |
default |
|
|---|---|---|
index |
any |
|
node_i |
nodes.index |
|
node_j |
nodes.index |
|
x |
float64 |
|
r |
float64 |
|
x_pu |
float64 |
|
x_pu |
float64 |
|
capacity |
float64 |
|
contingency |
bool |
True |
zones¶
The definition of market areas is solely defined by the network nodes that are part of it.
type |
default |
|
|---|---|---|
index |
any |
plants¶
type |
default |
|
|---|---|---|
index |
any |
|
node |
nodes.index |
|
mc_el |
float64 |
|
mc_heat |
float64 |
0 |
g_max |
float64 |
|
h_max |
float64 |
0 |
d_max |
float64 |
0 |
eta |
float64 |
1 |
plant_type |
any |
|
storage_capacity |
float64 |
|
heatarea |
heatareas.index |
availability¶
time-dependant capacity factor for plants like wind turbines
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
plant |
plants.index |
|
availability |
float64 |
dclines¶
type |
default |
|
|---|---|---|
index |
any |
|
node_i |
nodes.index |
|
node_j |
nodes.index |
|
capacity |
float64 |
demand_el¶
electricity demand_el
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
node |
nodes.index |
|
demand_el |
float |
ntc¶
net transfer capacities
type |
default |
|
|---|---|---|
index |
any |
|
zone_i |
zones.index |
|
zone_j |
zones.index |
|
ntc |
float64 |
net_export¶
nodal injections representing exchange with non-model market areas
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
node |
nodes.index |
|
net_export |
float64 |
inflows¶
inflows into hydro storages
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
plant |
plants.index |
|
inflow |
float64 |
net_position¶
net position for market areas
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
zone |
zones.index |
|
net_position |
float64 |
heatareas¶
district heating networks, analog to zones.
type |
default |
|
|---|---|---|
index |
any |
demand_h¶
district heating demand.
type |
default |
|
|---|---|---|
index |
any |
|
timestep |
any |
|
heatarea |
heatareas.index |
|
demand_el |
float |
