diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index b86b5f20..72ae4232 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -1,6 +1,5 @@
-# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
-# A coverage report will be created for the Python 3.8 version
-# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+# This workflow will create a Python package and upload it to testPyPi or PyPi
+# Then, it installs pandapipes from there and all dependencies and runs tests with different Python versions
 
 name: release
 
@@ -20,7 +19,6 @@ on:
 
 # A workflow run is made up of one or more jobs that can run sequentially or in parallel
 jobs:
-  # This workflow contains a single job called "build"
   upload:
     # The type of runner that the job will run on
     runs-on: ubuntu-latest
@@ -28,13 +26,13 @@ jobs:
     # Steps represent a sequence of tasks that will be executed as part of the job
     steps:
       # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
 
       # Sets up python3
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v4
         with:
           python-version: '3.10'
-      # Installs and upgrades pip, installs other dependencies and installs the package from setup.py
+      # Installs and upgrades pip, installs twine and other packages for the release-process
       - name: Install dependencies
         run: |
           # Upgrade pip
@@ -80,7 +78,6 @@ jobs:
         python-version: ['3.7', '3.8', '3.9', '3.10']
         os:  [ ubuntu-latest, windows-latest ]
     steps:
-      - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
@@ -88,7 +85,7 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          python -m pip install pytest nbmake python-igraph pytest-xdist pytest-split numba
+          python -m pip install pytest python-igraph pytest-split numba
       - name: Install pandapipes from TestPyPI
         if: ${{ inputs.upload_server == 'testpypi'}}
         run: |
@@ -102,5 +99,4 @@ jobs:
           pip list
       - name: Test with pytest
         run: |
-          pytest
-          pytest --nbmake -n=auto "./tutorials"
+          pytest --pyargs pandapipes.test
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 783719d8..734ff1ca 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,6 +1,13 @@
 Change Log
 =============
 
+[0.8.4] - 2023-02-02
+-------------------------------
+- [FIXED] added flow control to nxgraph
+- [FIXED] in case of multiple pumps, there was a bug when calculating pressure
+- [FIXED] if all pumps are out of service, the pipeflow did not converge
+- [FIXED] remove unnecessary checkout in release.yml and tutorial tests
+
 [0.8.3] - 2023-01-09
 -------------------------------
 - [FIXED] inconsistency between testpypi and pypi
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 224cecc6..06c4067f 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -49,7 +49,7 @@
 # The short X.Y version.
 version = "0.8"
 # The full version, including alpha/beta/rc tags.
-release = "0.8.3"
+release = "0.8.4"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/pandapipes/__init__.py b/pandapipes/__init__.py
index 28665dde..007e04dc 100644
--- a/pandapipes/__init__.py
+++ b/pandapipes/__init__.py
@@ -2,7 +2,7 @@
 # and Energy System Technology (IEE), Kassel, and University of Kassel. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be found in the LICENSE file.
 
-__version__ = '0.8.3'
+__version__ = '0.8.4'
 __format_version__ = '0.8.0'
 
 import pandas as pd
diff --git a/pandapipes/component_models/pump_component.py b/pandapipes/component_models/pump_component.py
index b5335ce4..15aab7a3 100644
--- a/pandapipes/component_models/pump_component.py
+++ b/pandapipes/component_models/pump_component.py
@@ -89,10 +89,11 @@ def adaption_before_derivatives_hydraulic(cls, net, branch_pit, node_pit, idx_lo
         else:
             v_mean = v_mps
         vol = v_mean * area
-        fcts = itemgetter(*std_types)(net['std_types']['pump'])
-        fcts = [fcts] if not isinstance(fcts, tuple) else fcts
-        pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol)))
-        pump_pit[:, PL] = pl
+        if len(std_types):
+            fcts = itemgetter(*std_types)(net['std_types']['pump'])
+            fcts = [fcts] if not isinstance(fcts, tuple) else fcts
+            pl = np.array(list(map(lambda x, y: x.get_pressure(y), fcts, vol)))
+            pump_pit[:, PL] = pl
 
     @classmethod
     def calculate_temperature_lift(cls, net, branch_component_pit, node_pit):
diff --git a/pandapipes/std_types/std_type_class.py b/pandapipes/std_types/std_type_class.py
index cb09a3cb..6377f8af 100644
--- a/pandapipes/std_types/std_type_class.py
+++ b/pandapipes/std_types/std_type_class.py
@@ -196,7 +196,8 @@ def get_pressure(self, vdot_m3_per_s):
                              "Bypassing without pressure change is assumed" % str(self.name))
             mask = vdot_m3_per_s >= 0
             # no negative pressure lift - bypassing always allowed:
-            results[mask] = np.where(mask, sum(self.reg_par * (vdot_m3_per_s[mask] * 3600) ** (n - 1)), 0)
+            results[mask] = \
+                np.where(mask, np.sum(self.reg_par * (vdot_m3_per_s[mask][:, None] * 3600) ** (n - 1), axis=1), 0)
         else:
             if vdot_m3_per_s < 0:
                 logger.debug("Reverse flow observed in a %s pump. "
diff --git a/pandapipes/test/api/old_versions/example_0.8.4_gas.json b/pandapipes/test/api/old_versions/example_0.8.4_gas.json
new file mode 100644
index 00000000..980014aa
--- /dev/null
+++ b/pandapipes/test/api/old_versions/example_0.8.4_gas.json
@@ -0,0 +1,412 @@
+{
+  "_module": "pandapipes.pandapipes_net",
+  "_class": "pandapipesNet",
+  "_object": {
+    "fluid": {
+      "_module": "pandapipes.properties.fluids",
+      "_class": "Fluid",
+      "_object": "{\"name\": \"hgas\", \"fluid_type\": \"gas\", \"is_gas\": true, \"all_properties\": {\"density\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyInterExtra\", \"_object\": \"{\\\"x\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 263.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 273.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 283.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 293.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 303.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 313.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 323.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 333.0}], \\\"dtype\\\": \\\"float64\\\"}, \\\"y\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.7614762591064257}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.733332277439119}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.7072104923835694}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.6828947600611692}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.660205611537355}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.6389854855679075}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.6190946329317856}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 0.6004074588524487}], \\\"dtype\\\": \\\"float64\\\"}, \\\"_fill_value_orig\\\": \\\"extrapolate\\\"}\"}, \"viscosity\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyInterExtra\", \"_object\": \"{\\\"x\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 263.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 273.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 283.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 293.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 303.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 313.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 323.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 333.0}], \\\"dtype\\\": \\\"float64\\\"}, \\\"y\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.0047118361853041e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.04021750220461e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.0704866480048474e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.1007402297863992e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.1337005139349375e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.170765177634217e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.2010332619395079e-05}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.231274052527204e-05}], \\\"dtype\\\": \\\"float64\\\"}, \\\"_fill_value_orig\\\": \\\"extrapolate\\\"}\"}, \"heat_capacity\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyInterExtra\", \"_object\": \"{\\\"x\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 263.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 273.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 283.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 293.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 303.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 313.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 323.0}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 333.0}], \\\"dtype\\\": \\\"float64\\\"}, \\\"y\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"array\\\", \\\"_object\\\": [{\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2111.7430409177705}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2129.19525821288}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2148.5756908384515}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2169.8204812997346}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2192.8111461983763}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2217.455354914997}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2243.67904088272}, {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 2271.295613279192}], \\\"dtype\\\": \\\"float64\\\"}, \\\"_fill_value_orig\\\": \\\"extrapolate\\\"}\"}, \"molar_mass\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyConstant\", \"_object\": \"{\\\"value\\\": 16.604497, \\\"warn_dependent_variables\\\": false}\"}, \"compressibility\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyLinear\", \"_object\": \"{\\\"slope\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": -0.0022}, \\\"offset\\\": {\\\"_module\\\": \\\"numpy\\\", \\\"_class\\\": \\\"float64\\\", \\\"_object\\\": 1.0}}\"}, \"der_compressibility\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyConstant\", \"_object\": \"{\\\"value\\\": -0.0022, \\\"warn_dependent_variables\\\": false}\"}, \"lhv\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyConstant\", \"_object\": \"{\\\"value\\\": 13.20179, \\\"warn_dependent_variables\\\": false}\"}, \"hhv\": {\"_module\": \"pandapipes.properties.fluids\", \"_class\": \"FluidPropertyConstant\", \"_object\": \"{\\\"value\\\": 14.62197, \\\"warn_dependent_variables\\\": false}\"}}}"
+    },
+    "converged": true,
+    "name": "net",
+    "version": "0.8.4",
+    "format_version": "0.8.0",
+    "component_list": [
+      {
+        "_module": "pandapipes.component_models.junction_component",
+        "_class": "Junction",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.pipe_component",
+        "_class": "Pipe",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.ext_grid_component",
+        "_class": "ExtGrid",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.sink_component",
+        "_class": "Sink",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.source_component",
+        "_class": "Source",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.mass_storage_component",
+        "_class": "MassStorage",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.valve_component",
+        "_class": "Valve",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.flow_control_component",
+        "_class": "FlowControlComponent",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.pressure_control_component",
+        "_class": "PressureControlComponent",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.compressor_component",
+        "_class": "Compressor",
+        "_object": "{}"
+      }
+    ],
+    "junction": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"pn_bar\",\"tfluid_k\",\"height_m\",\"in_service\",\"type\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12],\"data\":[[\"Junction 0\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 1\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 2\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 3\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 4\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 5\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 6\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 7\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 8\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 9\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 10\",16.0,283.0,0.0,true,\"junction\"],[\"Junction 11\",0.7,283.0,0.0,true,\"junction\"],[\"Junction 12\",0.7,283.0,0.0,true,\"junction\"]]}",
+      "orient": "split",
+      "dtype": {
+        "name": "object",
+        "pn_bar": "float64",
+        "tfluid_k": "float64",
+        "height_m": "float64",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "junction_geodata": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"x\",\"y\"],\"index\":[],\"data\":[]}",
+      "orient": "split",
+      "dtype": {
+        "x": "float64",
+        "y": "float64"
+      }
+    },
+    "pipe": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"from_junction\",\"to_junction\",\"std_type\",\"length_km\",\"diameter_m\",\"k_mm\",\"loss_coefficient\",\"alpha_w_per_m2k\",\"text_k\",\"qext_w\",\"sections\",\"in_service\",\"type\"],\"index\":[0,1,2,3,4,5,6,7],\"data\":[[\"Pipe 0\",0,1,null,3.0,0.1,1.0,0.0,10.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 1\",2,3,null,6.0,0.075,0.1,0.0,3.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 2\",3,4,null,5.0,0.06,0.1,0.0,20.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 3\",4,5,null,0.1,0.07,0.1,0.0,2.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 4\",5,6,null,4.5,0.085,0.1,0.0,2.5,293.0,0.0,10,true,\"pipe\"],[\"Pipe 5\",8,7,null,4.0,0.03,0.1,0.0,1.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 6\",9,10,null,1.0,0.03,0.1,0.0,1.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 7\",11,12,null,1.5,0.09,0.1,0.0,3.0,293.0,0.0,10,true,\"pipe\"]]}",
+      "orient": "split",
+      "dtype": {
+        "name": "object",
+        "from_junction": "uint32",
+        "to_junction": "uint32",
+        "std_type": "object",
+        "length_km": "float64",
+        "diameter_m": "float64",
+        "k_mm": "float64",
+        "loss_coefficient": "float64",
+        "alpha_w_per_m2k": "float64",
+        "text_k": "float64",
+        "qext_w": "float64",
+        "sections": "uint32",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "pipe_geodata": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"coords\"],\"index\":[],\"data\":[]}",
+      "orient": "split",
+      "dtype": {
+        "coords": "object"
+      }
+    },
+    "ext_grid": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"junction\",\"p_bar\",\"t_k\",\"in_service\",\"type\"],\"index\":[0,1],\"data\":[[\"External Grid 0\",0,16.0,280.0,true,\"pt\"],[\"External Grid 1\",8,15.0,285.0,true,\"pt\"]]}",
+      "orient": "split",
+      "dtype": {
+        "name": "object",
+        "junction": "uint32",
+        "p_bar": "float64",
+        "t_k": "float64",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "controller": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
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+      "dtype": {
+        "deltap_bar": "float64",
+        "v_from_m_per_s": "float64",
+        "v_to_m_per_s": "float64",
+        "p_from_bar": "float64",
+        "p_to_bar": "float64",
+        "t_from_k": "float64",
+        "t_to_k": "float64",
+        "mdot_from_kg_per_s": "float64",
+        "mdot_to_kg_per_s": "float64",
+        "vdot_norm_m3_per_s": "float64",
+        "normfactor_from": "float64",
+        "normfactor_to": "float64",
+        "compr_power_mw": "float64"
+      }
+    },
+    "user_pf_options": {
+      "hyd_flag": true
+    }
+  }
+}
\ No newline at end of file
diff --git a/pandapipes/test/api/old_versions/example_0.8.4_water.json b/pandapipes/test/api/old_versions/example_0.8.4_water.json
new file mode 100644
index 00000000..b4394d4f
--- /dev/null
+++ b/pandapipes/test/api/old_versions/example_0.8.4_water.json
@@ -0,0 +1,466 @@
+{
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+  "_class": "pandapipesNet",
+  "_object": {
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+    },
+    "converged": true,
+    "name": "net",
+    "version": "0.8.4",
+    "format_version": "0.8.0",
+    "component_list": [
+      {
+        "_module": "pandapipes.component_models.junction_component",
+        "_class": "Junction",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.pipe_component",
+        "_class": "Pipe",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.ext_grid_component",
+        "_class": "ExtGrid",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.sink_component",
+        "_class": "Sink",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.source_component",
+        "_class": "Source",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.mass_storage_component",
+        "_class": "MassStorage",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.valve_component",
+        "_class": "Valve",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.pump_component",
+        "_class": "Pump",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.circulation_pump_mass_component",
+        "_class": "CirculationPumpMass",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.circulation_pump_pressure_component",
+        "_class": "CirculationPumpPressure",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.heat_exchanger_component",
+        "_class": "HeatExchanger",
+        "_object": "{}"
+      },
+      {
+        "_module": "pandapipes.component_models.flow_control_component",
+        "_class": "FlowControlComponent",
+        "_object": "{}"
+      }
+    ],
+    "junction": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"pn_bar\",\"tfluid_k\",\"height_m\",\"in_service\",\"type\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13],\"data\":[[\"Junction 0\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 1\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 2\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 3\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 4\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 5\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 6\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 7\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 8\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 9\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 10\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 11\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 12\",3.0,293.0,0.0,true,\"junction\"],[\"Junction 13\",3.0,293.0,0.0,true,\"junction\"]]}",
+      "orient": "split",
+      "dtype": {
+        "name": "object",
+        "pn_bar": "float64",
+        "tfluid_k": "float64",
+        "height_m": "float64",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "junction_geodata": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"x\",\"y\"],\"index\":[],\"data\":[]}",
+      "orient": "split",
+      "dtype": {
+        "x": "float64",
+        "y": "float64"
+      }
+    },
+    "pipe": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"from_junction\",\"to_junction\",\"std_type\",\"length_km\",\"diameter_m\",\"k_mm\",\"loss_coefficient\",\"alpha_w_per_m2k\",\"text_k\",\"qext_w\",\"sections\",\"in_service\",\"type\"],\"index\":[0,1,2,3,4,5,6,7],\"data\":[[\"Pipe 0\",0,8,null,3.0,0.01,1.0,0.0,10.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 1\",9,2,null,6.0,0.075,0.1,0.0,3.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 2\",2,12,null,5.0,0.06,0.1,0.0,20.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 3\",4,12,null,0.1,0.07,0.1,0.0,2.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 4\",5,3,null,1.0,0.09,0.1,0.0,3.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 5\",4,11,null,2.5,0.08,0.1,0.0,15.0,293.0,0.0,10,true,\"pipe\"],[\"Pipe 6\",7,13,null,4.5,0.085,0.1,0.0,2.5,293.0,0.0,10,true,\"pipe\"],[\"Pipe 7\",1,7,null,4.0,0.03,0.1,0.0,1.0,293.0,0.0,10,true,\"pipe\"]]}",
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+      "dtype": {
+        "name": "object",
+        "from_junction": "uint32",
+        "to_junction": "uint32",
+        "std_type": "object",
+        "length_km": "float64",
+        "diameter_m": "float64",
+        "k_mm": "float64",
+        "loss_coefficient": "float64",
+        "alpha_w_per_m2k": "float64",
+        "text_k": "float64",
+        "qext_w": "float64",
+        "sections": "uint32",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "pipe_geodata": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"coords\"],\"index\":[],\"data\":[]}",
+      "orient": "split",
+      "dtype": {
+        "coords": "object"
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+    },
+    "ext_grid": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"name\",\"junction\",\"p_bar\",\"t_k\",\"in_service\",\"type\"],\"index\":[0,1],\"data\":[[\"External Grid 0\",0,3.0,300.0,true,\"pt\"],[\"External Grid 1\",1,5.0,350.0,true,\"pt\"]]}",
+      "orient": "split",
+      "dtype": {
+        "name": "object",
+        "junction": "uint32",
+        "p_bar": "float64",
+        "t_k": "float64",
+        "in_service": "bool",
+        "type": "object"
+      }
+    },
+    "controller": {
+      "_module": "pandas.core.frame",
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+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"v_mean_m_per_s\",\"p_from_bar\",\"p_to_bar\",\"t_from_k\",\"t_to_k\",\"mdot_from_kg_per_s\",\"mdot_to_kg_per_s\",\"vdot_norm_m3_per_s\",\"reynolds\",\"lambda\"],\"index\":[0,1],\"data\":[[0.057797123722275,6.0,6.0,293.0,293.0,0.29,-0.29,0.000290520030855,4606.28078808878854,0.033984865434741],[0.04981178306182,6.0,6.0,290.0,293.0,0.25,-0.25,0.000250381330767,3815.567296986367637,0.036864183200623]]}",
+      "orient": "split",
+      "dtype": {
+        "v_mean_m_per_s": "float64",
+        "p_from_bar": "float64",
+        "p_to_bar": "float64",
+        "t_from_k": "float64",
+        "t_to_k": "float64",
+        "mdot_from_kg_per_s": "float64",
+        "mdot_to_kg_per_s": "float64",
+        "vdot_norm_m3_per_s": "float64",
+        "reynolds": "float64",
+        "lambda": "float64"
+      }
+    },
+    "res_flow_control": {
+      "_module": "pandas.core.frame",
+      "_class": "DataFrame",
+      "_object": "{\"columns\":[\"v_mean_m_per_s\",\"p_from_bar\",\"p_to_bar\",\"t_from_k\",\"t_to_k\",\"mdot_from_kg_per_s\",\"mdot_to_kg_per_s\",\"vdot_norm_m3_per_s\",\"reynolds\",\"lambda\"],\"index\":[0],\"data\":[[0.039860085325707,6.0,5.575794559202104,293.0,293.0,0.2,-0.2,0.000200358641969,3176.7453710957152,0.040237198135447]]}",
+      "orient": "split",
+      "dtype": {
+        "v_mean_m_per_s": "float64",
+        "p_from_bar": "float64",
+        "p_to_bar": "float64",
+        "t_from_k": "float64",
+        "t_to_k": "float64",
+        "mdot_from_kg_per_s": "float64",
+        "mdot_to_kg_per_s": "float64",
+        "vdot_norm_m3_per_s": "float64",
+        "reynolds": "float64",
+        "lambda": "float64"
+      }
+    },
+    "user_pf_options": {
+      "hyd_flag": true
+    }
+  }
+}
\ No newline at end of file
diff --git a/pandapipes/topology/create_graph.py b/pandapipes/topology/create_graph.py
index 0e31b4d1..529fa7f8 100644
--- a/pandapipes/topology/create_graph.py
+++ b/pandapipes/topology/create_graph.py
@@ -108,13 +108,14 @@ def create_nxgraph(net, include_pipes=True, respect_status_pipes=True,
     else:
         mg = nx.Graph()
 
-    branch_params = {k: v for k, v in kwargs.items() if any(
-        k.startswith(par) for par in ["include", "respect_status", "weighting"])}
+    branch_kw = ["include", "respect_status", "weighting"]
+    branch_params = {k: v for k, v in kwargs.items() if any(k.startswith(par) for par in branch_kw)}
     loc = locals()
-    branch_params.update({"%s_%s" % (par, bc): loc.get("%s_%s" % (par, bc))
-                          for par in ["include", "respect_status", "weighting"]
+    branch_params.update({"%s_%s" % (par, bc): loc.get("%s_%s" % (par, bc)) for par in branch_kw
                           for bc in ["pipes", "valves", "pumps", "press_controls",
-                                     "mass_circ_pumps", "press_circ_pumps", "valve_pipes"]})
+                                     "mass_circ_pumps", "press_circ_pumps", "valve_pipes",
+                                     "flow_controls"]})
+
     for comp in net.component_list:
         if not issubclass(comp, BranchComponent):
             continue
diff --git a/setup.py b/setup.py
index 22fed153..0c3ff137 100644
--- a/setup.py
+++ b/setup.py
@@ -34,7 +34,7 @@
 
 setup(
     name='pandapipes',
-    version='0.8.3',
+    version='0.8.4',
     author='Simon Ruben Drauz-Mauel, Daniel Lohmeier, Jolando Marius Kisse',
     author_email='simon.ruben.drauz-mauel@iee.fraunhofer.de, daniel.lohmeier@retoflow.de, '
                  'jolando.kisse@uni-kassel.de',