coefficient estimation method following DeSoto(2006)

docs/sphinx/source/api.rst

@@ -303,6 +303,7 @@ Functions for fitting PV models
 
     ivtools.fit_sde_sandia
     ivtools.fit_sdm_cec_sam
+    ivtools.fit_sdm_desoto
 
 Other
 -----

docs/sphinx/source/whatsnew/v0.7.0.rst

@@ -1,4 +1,4 @@
-.. _whatsnew_0700:
+.. _whatsnew_0700:
 
 v0.7.0 (MONTH DAY, YEAR)
 ------------------------
@@ -111,6 +111,8 @@ Enhancements
   the single diode equation to an IV curve.
 * Add :py:func:`~pvlib.ivtools.fit_sdm_cec_sam`, a wrapper for the CEC single
   diode model fitting function '6parsolve' from NREL's System Advisor Model.
+* Add :py:func:`~pvlib.ivtools.fit_sdm_desoto`, a method to fit the De Soto single
+  diode model to the typical specifications given in manufacturers datasheets.
 * Add `timeout` to :py:func:`pvlib.iotools.get_psm3`.
 
 Bug fixes
@@ -162,4 +164,5 @@ Contributors
 * Anton Driesse (:ghuser:`adriesse`)
 * Alexander Morgan (:ghuser:`alexandermorgan`)
 * Miguel Sánchez de León Peque (:ghuser:`Peque`)
+* Tanguy Lunel (:ghuser:`tylunel`)
 * Veronica Guo (:ghuser:`veronicaguo`)

pvlib/ivtools.py

@@ -262,6 +262,147 @@ def fit_sde_sandia(voltage, current, v_oc=None, i_sc=None, v_mp_i_mp=None,
                                      v_oc)
 
 
+def fit_sdm_desoto(v_mp, i_mp, v_oc, i_sc, alpha_sc, beta_voc,
+                   cells_in_series, EgRef=1.121, dEgdT=-0.0002677,
+                   temp_ref=25, irrad_ref=1000, root_kwargs={}):
+    """
+    Calculates the parameters for the De Soto single diode model using the
+    procedure described in [1]. This procedure has the advantage of
+    using common specifications given by manufacturers in the
+    datasheets of PV modules.
+
+    The solution is found using the scipy.optimize.root() function,
+    with the corresponding default solver method 'hybr'.
+    No restriction is put on the fit variables, i.e. series
+    or shunt resistance could go negative. Nevertheless, if it happens,
+    check carefully the inputs and their units; alpha_sc and beta_voc are
+    often given in %/K in manufacturers datasheets and should be given
+    in A/K and V/K here.
+
+    The parameters returned by this function can be used by
+    pvsystem.calcparams_desoto to calculate the values at different
+    irradiance and cell temperature.
+
+    Parameters
+    ----------
+    v_mp: float
+        Module voltage at the maximum-power point at reference conditions [V].
+    i_mp: float
+        Module current at the maximum-power point at reference conditions [A].
+    v_oc: float
+        Open-circuit voltage at reference conditions [V].
+    i_sc: float
+        Short-circuit current at reference conditions [A].
+    alpha_sc: float
+        The short-circuit current (i_sc) temperature coefficient of the
+        module [A/K].
+    beta_voc: float
+        The open-circuit voltage (v_oc) temperature coefficient of the
+        module [V/K].
+    cells_in_series: integer
+        Number of cell in the module.
+    EgRef: float, default 1.121 eV - value for silicon
+        Energy of bandgap of semi-conductor used [eV]
+    dEgdT: float, default -0.0002677 - value for silicon
+        Variation of bandgap according to temperature [eV/K]
+    temp_ref: float, default 25
+        Reference temperature condition [C]
+    irrad_ref: float, default 1000
+        Reference irradiance condition [W/m2]
+    root_kwargs: dictionary, default None
+        Dictionary of arguments to pass onto scipy.optimize.root()
+
+    Returns
+    -------
+    Tuple of the following elements:
+
+        * Dictionary with the following elements:
+            I_L_ref: float
+                Light-generated current at reference conditions [A]
+            I_o_ref: float
+                Diode saturation current at reference conditions [A]
+            R_s: float
+                Series resistance [ohms]
+            R_sh_ref: float
+                Shunt resistance at reference conditions [ohms].
+            a_ref: float
+                Modified ideality factor at reference conditions.
+                The product of the usual diode ideality factor (n, unitless),
+                number of cells in series (Ns), and cell thermal voltage at
+                specified effective irradiance and cell temperature.
+            alpha_sc: float
+                The short-circuit current (i_sc) temperature coefficient of the
+                module [A/K].
+            EgRef: float
+                Energy of bandgap of semi-conductor used [eV]
+            dEgdT: float
+                Variation of bandgap according to temperature [eV/K]
+            irrad_ref: float
+                Reference irradiance condition [W/m2]
+            temp_ref: float
+                Reference temperature condition [C]
+        * scipy.optimize.OptimizeResult
+            Optimization result of scipy.optimize.root().
+            See scipy.optimize.OptimizeResult for more details.
+
+    References
+    ----------
+    [1] W. De Soto et al., "Improvement and validation of a model for
+    photovoltaic array performance", Solar Energy, vol 80, pp. 78-88,
+    2006.
+
+    [2] John A Duffie, William A Beckman, "Solar Engineering of Thermal
+    Processes", Wiley, 2013
+    """
+
+    try:
+        from scipy.optimize import root
+        from scipy import constants
+    except ImportError:
+        raise ImportError("The fit_sdm_desoto function requires scipy.")
+
+    # Constants
+    k = constants.value('Boltzmann constant in eV/K')
+    Tref = temp_ref + 273.15  # [K]
+
+    # initial guesses of variables for computing convergence:
+    # Values are taken from [2], p753
+    Rsh_0 = 100.0
+    a_0 = 1.5*k*Tref*cells_in_series
+    IL_0 = i_sc
+    Io_0 = i_sc * np.exp(-v_oc/a_0)
+    Rs_0 = (a_0*np.log1p((IL_0-i_mp)/Io_0) - v_mp)/i_mp
+    # params_i : initial values vector
+    params_i = np.array([IL_0, Io_0, a_0, Rsh_0, Rs_0])
+
+    # specs of module
+    specs = (i_sc, v_oc, i_mp, v_mp, beta_voc, alpha_sc, EgRef, dEgdT,
+             Tref, k)
+
+    # computing with system of equations described in [1]
+    optimize_result = root(_system_of_equations_desoto, x0=params_i,
+                           args=(specs,), **root_kwargs)
+
+    if optimize_result.success:
+        sdm_params = optimize_result.x
+    else:
+        raise RuntimeError(
+            'Parameter estimation failed:\n' + optimize_result.message)
+
+    # results
+    return ({'I_L_ref': sdm_params[0],
+             'I_o_ref': sdm_params[1],
+             'a_ref': sdm_params[2],
+             'R_sh_ref': sdm_params[3],
+             'R_s': sdm_params[4],
+             'alpha_sc': alpha_sc,
+             'EgRef': EgRef,
+             'dEgdT': dEgdT,
+             'irrad_ref': irrad_ref,
+             'temp_ref': temp_ref},
+            optimize_result)
+
+
 def _find_mp(voltage, current):
     """
     Finds voltage and current at maximum power point.
@@ -348,3 +489,69 @@ def _calculate_sde_parameters(beta0, beta1, beta3, beta4, v_mp, i_mp, v_oc):
     else:  # I0_voc > 0
         I0 = I0_voc
     return (IL, I0, Rsh, Rs, nNsVth)
+
+
+def _system_of_equations_desoto(params, specs):
+    """Evaluates the systems of equations used to solve for the single
+    diode equation parameters. Function designed to be used by
+    scipy.optimize.root() in fit_sdm_desoto().
+
+    Parameters
+    ----------
+    params: ndarray
+        Array with parameters of the De Soto single diode model. Must be
+        given in the following order: IL, Io, a, Rsh, Rs
+    specs: tuple
+        Specifications of pv module given by manufacturer. Must be given
+        in the following order: Isc, Voc, Imp, Vmp, beta_oc, alpha_sc
+
+    Returns
+    -------
+    system of equations to solve with scipy.optimize.root().
+
+
+    References
+    ----------
+    [1] W. De Soto et al., "Improvement and validation of a model for
+    photovoltaic array performance", Solar Energy, vol 80, pp. 78-88,
+    2006.
+
+    [2] John A Duffie, William A Beckman, "Solar Engineering of Thermal
+    Processes", Wiley, 2013
+    """
+
+    # six input known variables
+    Isc, Voc, Imp, Vmp, beta_oc, alpha_sc, EgRef, dEgdT, Tref, k = specs
+
+    # five parameters vector to find
+    IL, Io, a, Rsh, Rs = params
+
+    # five equation vector
+    y = [0, 0, 0, 0, 0]
+
+    # 1st equation - short-circuit - eq(3) in [1]
+    y[0] = Isc - IL + Io * np.expm1(Isc * Rs / a) + Isc * Rs / Rsh
+
+    # 2nd equation - open-circuit Tref - eq(4) in [1]
+    y[1] = -IL + Io * np.expm1(Voc / a) + Voc / Rsh
+
+    # 3rd equation - Imp & Vmp - eq(5) in [1]
+    y[2] = Imp - IL + Io * np.expm1((Vmp + Imp * Rs) / a) \
+        + (Vmp + Imp * Rs) / Rsh
+
+    # 4th equation - Pmp derivated=0 - eq23.2.6 in [2]
+    # caution: eq(6) in [1] has a sign error
+    y[3] = Imp \
+        - Vmp * ((Io / a) * np.exp((Vmp + Imp * Rs) / a) + 1.0 / Rsh) \
+        / (1.0 + (Io * Rs / a) * np.exp((Vmp + Imp * Rs) / a) + Rs / Rsh)
+
+    # 5th equation - open-circuit T2 - eq (4) at temperature T2 in [1]
+    T2 = Tref + 2
+    Voc2 = (T2 - Tref) * beta_oc + Voc  # eq (7) in [1]
+    a2 = a * T2 / Tref  # eq (8) in [1]
+    IL2 = IL + alpha_sc * (T2 - Tref)  # eq (11) in [1]
+    Eg2 = EgRef * (1 + dEgdT * (T2 - Tref))  # eq (10) in [1]
+    Io2 = Io * (T2 / Tref)**3 * np.exp(1 / k * (EgRef/Tref - Eg2/T2))  # eq (9)
+    y[4] = -IL2 + Io2 * np.expm1(Voc2 / a2) + Voc2 / Rsh  # eq (4) at T2
+
+    return y

pvlib/test/test_ivtools.py

@@ -102,6 +102,35 @@ def test_fit_sdm_cec_sam(get_cec_params_cansol_cs5p_220p):
                 cells_in_series=1, temp_ref=25)
 
 
+@requires_scipy
+def test_fit_sdm_desoto():
+    result, _ = ivtools.fit_sdm_desoto(v_mp=31.0, i_mp=8.71, v_oc=38.3,
+                                       i_sc=9.43, alpha_sc=0.005658,
+                                       beta_voc=-0.13788,
+                                       cells_in_series=60)
+    result_expected = {'I_L_ref': 9.45232,
+                       'I_o_ref': 3.22460e-10,
+                       'a_ref': 1.59128,
+                       'R_sh_ref': 125.798,
+                       'R_s': 0.297814,
+                       'alpha_sc': 0.005658,
+                       'EgRef': 1.121,
+                       'dEgdT': -0.0002677,
+                       'irrad_ref': 1000,
+                       'temp_ref': 25}
+    assert np.allclose(pd.Series(result), pd.Series(result_expected),
+                       rtol=1e-4)
+
+
+@requires_scipy
+def test_fit_sdm_desoto_failure():
+    with pytest.raises(RuntimeError) as exc:
+        ivtools.fit_sdm_desoto(v_mp=31.0, i_mp=8.71, v_oc=38.3, i_sc=9.43,
+                               alpha_sc=0.005658, beta_voc=-0.13788,
+                               cells_in_series=10)
+    assert ('Parameter estimation failed') in str(exc.value)
+
+
 @pytest.fixture
 def get_bad_iv_curves():
     # v1, i1 produces a bad value for I0_voc