API Reference

Data processing class

class pyeplan.datsys(inp_folder='', lat=0.251148605450955, lon=32.404833929733, year=2016, pvcalc=1, pp=50, sys_loss=14, n_clust=1, pf_c=1, pf_p=1, sbase=1000)[source]

data

Data columns description as described by PVGIS:

Time = Date and hour P = PV system power (W) ** Column not included if pvcalc = 0 G(i) = Global irradiance on the inclined plane (plane of the array) (W/m2) H_sun = Sun height (degree) T2m = 2-m air temperature (degree Celsius) WS10m = 10-m total wind speed (m/s) Int = 1 means solar radiation values are reconstructed

optimalangles: Value of 1 for “yes”. All other values (or no value) mean “no”. Not relevant for tracking planes.

optimalinclination: Value of 1 for “yes”. All other values (or no value) mean “no”. Not relevant for 2-axis tracking.

outputformat: Choices: “csv” “basic” “json”

trackingtype: 0 = fixed 1 = single horizontal axis aligned north-south, 2 = two-axis tracking, 3 = vertical axis tracking, 4 = single horizontal axis aligned east-west, 5 = single inclined axis aligned north-south

Routing class

class pyeplan.rousys(inp_folder='', crs=35, typ=7, vbase=415, sbase=1)[source]

Investment and Operation class

class pyeplan.inosys(inp_folder, ref_bus, dshed_cost=1000000, rshed_cost=500, phase=3, vmin=0.85, vmax=1.15, sbase=1, sc_fa=1)[source]

resBat()[source]: Display the Battery capacity investment results

resConv()[source]: Display the conventional generator capacity investment results

resCost()[source]: Display the objective cost results.

resCurt()[source]: Display the curtailed load results

resSolar()[source]: Display the Solar capacity investment results

resWind()[source]: Display the Wind capacity investment results

solve(solver='glpk', neos=False, invest=False, onlyopr=True, commit=False, solemail='')[source]: Solve the investment and operation problem. :param str solver: Solver to be used. Available: glpk, cbc, ipopt, gurobi :param bool network: True/False indicates including/excluding network-related constraints :param bool invest: True/False indicates binary/continuous nature of investement-related decision variables :param bool onlyopr: True/False indicates if the problem will only solve the operation or both investment and operation :param bool commit: True/False indicates if ??? :param bool neos: True/False indicates if ??? :Example: >>> import pyeplan >>> sys_inv = pyeplan.inosys(“wat_inv”, ref_bus = 260) >>> sys_inv.solve()