Пример #1
0
    def build(cls, m, wn, updater, index_over=None):
        """
        Adds a leak constraint to the model for the specified junctions.

        Parameters
        ----------
        m: wntr.aml.Model
        wn: wntr.network.model.WaterNetworkModel
        updater: ModelUpdater
        index_over: list of str
            list of junction/tank names
        """
        if not hasattr(m, 'leak_con'):
            m.leak_con = aml.ConstraintDict()

        if index_over is None:
            index_over = wn.junction_name_list + wn.tank_name_list

        for node_name in index_over:
            if node_name in m.leak_con:
                del m.leak_con[node_name]

            node = wn.get_node(node_name)

            if node.leak_status and not node._is_isolated:
                leak_rate = m.leak_rate[node_name]
                h = m.head[node_name]

                elev = m.elevation[node_name]
                delta = m.leak_delta
                slope = m.leak_slope
                a = m.leak_poly_coeffs_a[node_name]
                b = m.leak_poly_coeffs_b[node_name]
                c = m.leak_poly_coeffs_c[node_name]
                d = m.leak_poly_coeffs_d[node_name]
                area = m.leak_area[node_name]
                Cd = m.leak_coeff[node_name]
                con = aml.ConditionalExpression()
                con.add_condition(aml.inequality(h, ub=elev),
                                  leak_rate - slope * (h - elev))
                con.add_condition(
                    aml.inequality(h - elev, ub=delta),
                    leak_rate - (a * (h - elev)**3 + b * (h - elev)**2 + c *
                                 (h - elev) + d))
                con.add_final_expr(leak_rate - Cd * area * (2.0 * 9.81 *
                                                            (h - elev))**0.5)
                con = aml.Constraint(con)

                m.leak_con[node_name] = con

            updater.add(node, 'leak_status', leak_constraint.update)
            updater.add(node, '_is_isolated', leak_constraint.update)
Пример #2
0
    def build(cls, m, wn, updater, index_over=None):
        """
        Adds a headloss constraint to the model for the power pumps.

        Parameters
        ----------
        m: wntr.aml.aml.aml.Model
        wn: wntr.network.model.WaterNetworkModel
        updater: ModelUpdater
        index_over: list of str
            list of powerPump names; default is all powerPumps in wn
        """
        if not hasattr(m, 'fcv_headloss'):
            m.fcv_headloss = aml.ConstraintDict()

        if index_over is None:
            index_over = wn.fcv_name_list

        for link_name in index_over:
            if link_name in m.fcv_headloss:
                del m.fcv_headloss[link_name]

            link = wn.get_link(link_name)
            f = m.flow[link_name]
            status = link.status

            if status == LinkStatus.Closed or link._is_isolated:
                con = aml.Constraint(f)
            else:
                start_node_name = link.start_node_name
                end_node_name = link.end_node_name
                start_node = wn.get_node(start_node_name)
                end_node = wn.get_node(end_node_name)
                if isinstance(start_node, wntr.network.Junction):
                    start_h = m.head[start_node_name]
                else:
                    start_h = m.source_head[start_node_name]
                if isinstance(end_node, wntr.network.Junction):
                    end_h = m.head[end_node_name]
                else:
                    end_h = m.source_head[end_node_name]

                if status == LinkStatus.Active:
                    con = aml.Constraint(f - m.valve_setting[link_name])
                else:
                    assert status == LinkStatus.Open
                    con = aml.ConditionalExpression()
                    con.add_condition(
                        aml.inequality(body=f, ub=0),
                        -m.minor_loss[link_name] * f**2 - start_h + end_h)
                    con.add_final_expr(m.minor_loss[link_name] * f**2 -
                                       start_h + end_h)
                    con = aml.Constraint(con)
            m.fcv_headloss[link_name] = con

            updater.add(link, 'status', fcv_headloss_constraint.update)
            updater.add(link, '_is_isolated', fcv_headloss_constraint.update)
Пример #3
0
    def build(cls, m, wn, updater, index_over=None):
        """
        Adds a mass balance to the model for the specified junctions.

        Parameters
        ----------
        m: wntr.aml.aml.aml.Model
        wn: wntr.network.model.WaterNetworkModel
        updater: ModelUpdater
        index_over: list of str
            list of pipe names; default is all pipes in wn
        """
        if not hasattr(m, 'piecewise_hazen_williams_headloss'):
            m.piecewise_hazen_williams_headloss = aml.ConstraintDict()

        if index_over is None:
            index_over = wn.pipe_name_list

        for link_name in index_over:
            if link_name in m.piecewise_hazen_williams_headloss:
                del m.piecewise_hazen_williams_headloss[link_name]

            link = wn.get_link(link_name)
            f = m.flow[link_name]
            status = link.status

            if status == LinkStatus.Closed or link._is_isolated:
                con = aml.Constraint(f)
            else:
                start_node_name = link.start_node_name
                end_node_name = link.end_node_name
                start_node = wn.get_node(start_node_name)
                end_node = wn.get_node(end_node_name)
                if isinstance(start_node, wntr.network.Junction):
                    start_h = m.head[start_node_name]
                else:
                    start_h = m.source_head[start_node_name]
                if isinstance(end_node, wntr.network.Junction):
                    end_h = m.head[end_node_name]
                else:
                    end_h = m.source_head[end_node_name]
                k = m.hw_resistance[link_name]
                minor_k = m.minor_loss[link_name]
                a = m.hw_a
                b = m.hw_b
                c = m.hw_c
                d = m.hw_d

                con = aml.ConditionalExpression()
                con.add_condition(
                    aml.inequality(body=aml.abs(f),
                                   ub=m.hw_q1), -k * m.hw_m * f -
                    aml.sign(f) * minor_k * f**m.hw_minor_exp + start_h -
                    end_h)
                con.add_condition(
                    aml.inequality(body=aml.abs(f), ub=m.hw_q2),
                    -k * (a * f**3 + aml.sign(f) * b * f**2 + c * f +
                          aml.sign(f) * d) -
                    aml.sign(f) * minor_k * f**m.hw_minor_exp + start_h -
                    end_h)
                con.add_final_expr(-aml.sign(f) * k * aml.abs(f)**m.hw_exp -
                                   aml.sign(f) * minor_k * f**m.hw_minor_exp +
                                   start_h - end_h)
                con = aml.Constraint(con)

            m.piecewise_hazen_williams_headloss[link_name] = con

            updater.add(link, 'status',
                        piecewise_hazen_williams_headloss_constraint.update)
            updater.add(link, '_is_isolated',
                        piecewise_hazen_williams_headloss_constraint.update)
Пример #4
0
    def build(cls, m, wn, updater, index_over=None):
        """
        Adds a headloss constraint to the model for the head curve pumps.

        Parameters
        ----------
        m: wntr.aml.aml.aml.Model
        wn: wntr.network.model.WaterNetworkModel
        updater: ModelUpdater
        index_over: list of str
            list of HeadPump names; default is all HeadPumps in wn
        """
        if not hasattr(m, 'head_pump_headloss'):
            m.head_pump_headloss = aml.ConstraintDict()

        if index_over is None:
            index_over = wn.head_pump_name_list

        for link_name in index_over:
            if link_name in m.head_pump_headloss:
                del m.head_pump_headloss[link_name]

            link = wn.get_link(link_name)
            f = m.flow[link_name]
            status = link.status

            if status == LinkStatus.Closed or link._is_isolated:
                con = aml.Constraint(f)
            else:
                start_node_name = link.start_node_name
                end_node_name = link.end_node_name
                start_node = wn.get_node(start_node_name)
                end_node = wn.get_node(end_node_name)
                if isinstance(start_node, wntr.network.Junction):
                    start_h = m.head[start_node_name]
                else:
                    start_h = m.source_head[start_node_name]
                if isinstance(end_node, wntr.network.Junction):
                    end_h = m.head[end_node_name]
                else:
                    end_h = m.source_head[end_node_name]
                A, B, C = link.get_head_curve_coefficients()

                if C <= 1:
                    a, b, c, d = get_pump_poly_coefficients(A, B, C, m)
                    con = aml.ConditionalExpression()
                    con.add_condition(aml.inequality(body=f, ub=m.pump_q1),
                                      m.pump_slope * f + A - end_h + start_h)
                    con.add_condition(
                        aml.inequality(body=f, ub=m.pump_q2),
                        a * f**3 + b * f**2 + c * f + d - end_h + start_h)
                    con.add_final_expr(A - B * f**C - end_h + start_h)
                    con = aml.Constraint(con)
                else:
                    q_bar, h_bar = get_pump_line_params(A, B, C, m)
                    con = aml.ConditionalExpression()
                    con.add_condition(
                        aml.inequality(body=f, ub=q_bar),
                        m.pump_slope * (f - q_bar) + h_bar - end_h + start_h)
                    con.add_final_expr(A - B * f**C - end_h + start_h)
                    con = aml.Constraint(con)

            m.head_pump_headloss[link_name] = con

            updater.add(link, 'status', head_pump_headloss_constraint.update)
            updater.add(link, '_is_isolated',
                        head_pump_headloss_constraint.update)
            updater.add(link, 'pump_curve_name',
                        head_pump_headloss_constraint.update)
Пример #5
0
    def build(cls, m, wn, updater, index_over=None):
        """
        Adds a pdd constraint to the model for the specified junctions.

        Parameters
        ----------
        m: wntr.aml.aml.aml.Model
        wn: wntr.network.model.WaterNetworkModel
        updater: ModelUpdater
        index_over: list of str
            list of junction names; default is all junctions in wn
        """
        if not hasattr(m, 'pdd'):
            m.pdd = aml.ConstraintDict()

        if index_over is None:
            index_over = wn.junction_name_list

        for node_name in index_over:
            if node_name in m.pdd:
                del m.pdd[node_name]

            node = wn.get_node(node_name)
            h = m.head[node_name]
            d = m.demand[node_name]
            d_expected = m.expected_demand[node_name]

            if not node._is_isolated:
                pmin = m.pmin[node_name]
                pnom = m.pnom[node_name]
                elev = m.elevation[node_name]
                delta = m.pdd_smoothing_delta
                slope = m.pdd_slope
                a1 = m.pdd_poly1_coeffs_a[node_name]
                b1 = m.pdd_poly1_coeffs_b[node_name]
                c1 = m.pdd_poly1_coeffs_c[node_name]
                d1 = m.pdd_poly1_coeffs_d[node_name]
                a2 = m.pdd_poly2_coeffs_a[node_name]
                b2 = m.pdd_poly2_coeffs_b[node_name]
                c2 = m.pdd_poly2_coeffs_c[node_name]
                d2 = m.pdd_poly2_coeffs_d[node_name]
                con = aml.ConditionalExpression()
                con.add_condition(aml.inequality(body=h - elev - pmin, ub=0),
                                  d - d_expected * slope * (h - elev - pmin))
                con.add_condition(
                    aml.inequality(body=h - elev - pmin - delta, ub=0),
                    d - d_expected * (a1 * (h - elev)**3 + b1 *
                                      (h - elev)**2 + c1 * (h - elev) + d1))
                con.add_condition(
                    aml.inequality(body=h - elev - pnom + delta, ub=0),
                    d - d_expected * ((h - elev - pmin) / (pnom - pmin))**0.5)
                con.add_condition(
                    aml.inequality(body=h - elev - pnom, ub=0),
                    d - d_expected * (a2 * (h - elev)**3 + b2 *
                                      (h - elev)**2 + c2 * (h - elev) + d2))
                con.add_final_expr(d - d_expected * (slope *
                                                     (h - elev - pnom) + 1.0))
                con = aml.Constraint(con)

                m.pdd[node_name] = con

            updater.add(node, '_is_isolated', pdd_constraint.update)
Пример #6
0
    def test_if_then_constraints(self):
        m = aml.Model()
        x = -4.5
        y = -3.7
        m.x = aml.Var(x)
        m.y = aml.Var(y)

        e = aml.ConditionalExpression()
        e.add_condition(
            aml.inequality(body=m.x, ub=-1), -((-m.x) ** 1.852) - (-m.x) ** 2 - m.y
        )
        e.add_condition(aml.inequality(body=m.x, ub=1), m.x)
        e.add_final_expr(m.x ** 1.852 + m.x ** 2 - m.y)
        m.con1 = aml.Constraint(e)

        e = aml.ConditionalExpression()
        e.add_condition(
            aml.inequality(body=m.y, ub=-1), -((-m.y) ** (1.852)) - (-m.y) ** (2) - m.x
        )
        e.add_condition(aml.inequality(body=m.y, ub=1), m.y)
        e.add_final_expr(m.y ** (1.852) + m.y ** (2) - m.x)
        m.con2 = aml.Constraint(e)

        true_con_values = OrderedDict()
        true_jac = OrderedDict()
        true_con_values[m.con1] = -(abs(x) ** 1.852 + abs(x) ** 2) - y
        true_con_values[m.con2] = -(abs(y) ** 1.852 + abs(y) ** 2) - x
        true_jac[m.con1] = OrderedDict()
        true_jac[m.con2] = OrderedDict()
        true_jac[m.con1][m.x] = 1.852 * abs(x) ** 0.852 + 2 * abs(x)
        true_jac[m.con1][m.y] = -1
        true_jac[m.con2][m.x] = -1
        true_jac[m.con2][m.y] = 1.852 * abs(y) ** 0.852 + 2 * abs(y)
        compare_evaluation(self, m, true_con_values, true_jac)

        x = 0.5
        y = 0.3
        m.x.value = x
        m.y.value = y
        true_con_values[m.con1] = x
        true_con_values[m.con2] = y
        true_jac[m.con1][m.x] = 1
        true_jac[m.con1][m.y] = 0
        true_jac[m.con2][m.x] = 0
        true_jac[m.con2][m.y] = 1
        compare_evaluation(self, m, true_con_values, true_jac)

        x = 4.5
        y = 3.7
        m.x.value = x
        m.y.value = y
        true_con_values[m.con1] = x ** 1.852 + x ** 2 - y
        true_con_values[m.con2] = y ** 1.852 + y ** 2 - x
        true_jac[m.con1][m.x] = 1.852 * x ** 0.852 + 2 * x
        true_jac[m.con1][m.y] = -1
        true_jac[m.con2][m.x] = -1
        true_jac[m.con2][m.y] = 1.852 * y ** 0.852 + 2 * y
        compare_evaluation(self, m, true_con_values, true_jac)

        del true_con_values[m.con2]
        del true_jac[m.con2]
        del m.con2
        e = aml.ConditionalExpression()
        e.add_condition(
            aml.inequality(body=m.y, ub=-1), -((-m.y) ** 2.852) - (-m.y) ** 3 - m.x
        )
        e.add_condition(aml.inequality(body=m.y, ub=1), m.y ** 2)
        e.add_final_expr(m.y ** 2.852 + m.y ** 3 - m.x)
        m.con2 = aml.Constraint(e)

        true_jac[m.con2] = OrderedDict()
        x = -4.5
        y = -3.7
        m.x.value = x
        m.y.value = y
        true_con_values[m.con1] = -(abs(x) ** 1.852 + abs(x) ** 2) - y
        true_con_values[m.con2] = -(abs(y) ** 2.852 + abs(y) ** 3) - x
        true_jac[m.con1][m.x] = 1.852 * abs(x) ** 0.852 + 2 * abs(x)
        true_jac[m.con1][m.y] = -1
        true_jac[m.con2][m.x] = -1
        true_jac[m.con2][m.y] = 2.852 * abs(y) ** 1.852 + 3 * abs(y) ** 2
        compare_evaluation(self, m, true_con_values, true_jac)

        x = 0.5
        y = 0.3
        m.x.value = x
        m.y.value = y
        true_con_values[m.con1] = x
        true_con_values[m.con2] = y ** 2
        true_jac[m.con1][m.x] = 1
        true_jac[m.con1][m.y] = 0
        true_jac[m.con2][m.x] = 0
        true_jac[m.con2][m.y] = 2 * y
        compare_evaluation(self, m, true_con_values, true_jac)

        x = 4.5
        y = 3.7
        m.x.value = x
        m.y.value = y
        true_con_values[m.con1] = x ** 1.852 + x ** 2 - y
        true_con_values[m.con2] = y ** 2.852 + y ** 3 - x
        true_jac[m.con1][m.x] = 1.852 * x ** 0.852 + 2 * x
        true_jac[m.con1][m.y] = -1
        true_jac[m.con2][m.x] = -1
        true_jac[m.con2][m.y] = 2.852 * y ** 1.852 + 3 * y ** 2
        compare_evaluation(self, m, true_con_values, true_jac)