Hi all
Anyone that have an idea of how to implement a “PV forecast” like Photovoltaic Geographical Information System (PVGIS) - European Commission (europa.eu)? Does anyone have good experience with implementing this in the Predictor/Scheduler to optimize the use of hybrid inverter (also taking into account the ENTSO-E price)?
Br. Lars
I use open-meteo.com.
It works fine and is free for pirivate use.
I request every 15min Temperature and the tilted module power for each direction
best
eberhard mayer
@hansenelectric: The time-of-use optimization requires just “any” predictor, so you could just start making experiments with out-of-the box available components. I personally run the “Persistence Model”-predictor very successfully in my private home. I recently added some short- and very-short-term predictions, though, that improve the prediction accuracy a lot. → openems/io.openems.edge.predictor.persistencemodel/src/io/openems/edge/predictor/persistencemodel/PredictorPersistenceModelImpl.java at develop · OpenEMS/openems · GitHub
@Eba-M: open-meteo.com sounds interesting. I had not known about it before. Can you share your code to read the prediction, please?
Thanks,
Stefan
void openmeteo(std::vector<watt_s> &w, e3dc_config_t e3dc,int anlage)
{
FILE * fp;
char line[256];
char path [65000];
char value[25];
char var[25];
char var2[25];
int x1 = 0;
int x2,x3;
int len = strlen(e3dc.Forecast[anlage]);
if (anlage >=0)
{
memcpy(&line,&e3dc.Forecast[anlage],len);
memset(var, 0, sizeof(var));
memset(var2, 0, sizeof(var2));
memset(value, 0, sizeof(value));
for(int j = 0;j<len&&x1==0;j++)
{
if (line[j]=='/') x1=j;
}
x2=0;
for(int j=x1+1;j<len&&x2==0;j++)
{
if (line[j]=='/') x2=j;
}
memcpy(&var,&line[0],x1);
memcpy(&var2,&line[x1+1],x2-x1-1);
memcpy(&value,&line[x2+1],len-x2-1);
x1 = atoi(var);
x2 = atoi(var2);
x3 = atoi(value);
}
{
sprintf(line,"curl -X GET 'https://api.open-meteo.com/v1/forecast?latitude=%f&longitude=%f&minutely_15=global_tilted_irradiance_instant&timeformat=unixtime&forecast_minutely_15=192&tilt=%i&azimuth=%i'",e3dc.hoehe,e3dc.laenge,x1,x2);
fp = NULL;
fp = popen(line, "r");
int fd = fileno(fp);
int flags = fcntl(fd, F_GETFL, 0);
flags |= O_NONBLOCK;
fcntl(fd, F_SETFL, flags);
fp_status = 2;
}
{
int timeout = 0;
while (fgets(path, 65000, fp) == NULL&&timeout < 30)
{
sleep(1);
timeout++;
}
if (timeout >= 30) return;
{
const cJSON *item = NULL;
const cJSON *item1 = NULL;
const cJSON *item2 = NULL;
std::string feld;
cJSON *wolf_json = cJSON_Parse(path);
feld = "minutely_15";
char * c = &feld[0];
item = cJSON_GetObjectItemCaseSensitive(wolf_json, c );
feld = "time";
item1 = cJSON_GetObjectItemCaseSensitive(item, c );
feld = "global_tilted_irradiance_instant";
c = &feld[0];
item2 = cJSON_GetObjectItemCaseSensitive(item, c );
item1 = item1->child;
item2 = item2->child;
int x1 = 0;
while (item1!=NULL)
{
while (w[x1].hh < item1->valueint&&x1<w.size())
x1++;
if (w[x1].hh == item1->valueint)
{
if (anlage==0)
w[x1].solar = item2->valuedouble*x3/4/e3dc.speichergroesse/10; // (15min Intervall daher /4
else
w[x1].solar = w[x1].solar+item2->valuedouble*x3/4/e3dc.speichergroesse/10;
x1++;
if (x1 >= w.size())
return;
}
item1 = item1->next;
item2 = item2->next;
}
}
}
}
I request the data for tilted module to get a prediction for the solar result.
you can find my complete code when you search for
E3DC-Control
I use the weatherforecast to predict the consumption of my heat pump. That necessary for the flexible tarifs like aWATTar or tibber
1 Like