Python/C++ library for distribution power system analysis

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alliander.dynamic.grid.calculation from gravatar.com alliander.dynamic.grid.calculation Avatar for figueroa1395 from gravatar.com figueroa1395 Avatar for Jerry-Jinfeng-Guo from gravatar.com Jerry-Jinfeng-Guo Avatar for mgovers from gravatar.com mgovers Avatar for nitbharambe from gravatar.com nitbharambe Avatar for petersalemink from gravatar.com petersalemink Avatar for zhen0427 from gravatar.com zhen0427

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

PyPI version License: MIT Build and Test C++ and Python Check Code Quality REUSE Compliance Check docs

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

Power Grid Model logo

Power Grid Model

power-grid-model is a Python library for steady-state distribution power system analysis. The core of the library is written in C++. Currently, it supports the following calculations:

  • Symmetric and asymmetric power flow calculation with Newton-Raphson method, iterative current method and linear method
  • Symmetric and asymmetric state estimation with iterative linear method

See the power-grid-model documentation for more information. For various conversions to the power-grid-model, refer to the power-grid-model-io repository.

Installation

Install from PyPI

You can directly install the package from PyPI.

pip install power-grid-model

Build and install from Source

To install the library from source, refer to the Build Guide.

Examples

Please refer to Examples for more detailed examples for power flow and state estimation. Notebooks for validating the input data and exporting input/output data are also included.

License

This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.

Licenses third-party libraries

This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.

Contributing

Please read CODE_OF_CONDUCT, CONTRIBUTING, PROJECT GOVERNANCE and RELEASE for details on the process for submitting pull requests to us.

Contact

Please read SUPPORT for how to connect and get into contact with the Power Gird Model project.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alliander.dynamic.grid.calculation from gravatar.com alliander.dynamic.grid.calculation Avatar for figueroa1395 from gravatar.com figueroa1395 Avatar for Jerry-Jinfeng-Guo from gravatar.com Jerry-Jinfeng-Guo Avatar for mgovers from gravatar.com mgovers Avatar for nitbharambe from gravatar.com nitbharambe Avatar for petersalemink from gravatar.com petersalemink Avatar for zhen0427 from gravatar.com zhen0427

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.10.3

1.10.2

1.10.1

1.10.0

1.9.90

1.9.89

1.9.88

1.9.87

1.9.86

1.9.85

1.9.84

1.9.83

1.9.82

1.9.81

1.9.80

1.9.79

1.9.78

1.9.77

1.9.76

1.9.75

1.9.74

1.9.73

1.9.72

1.9.71

1.9.70

1.9.69

1.9.68

1.9.67

1.9.66

1.9.65

1.9.64

1.9.63

1.9.62

1.9.61

1.9.60

1.9.59

1.9.58

1.9.57

1.9.56

1.9.55

1.9.54

1.9.53

1.9.52

1.9.51

1.9.50

1.9.49

1.9.48

1.9.47

1.9.46

1.9.45

1.9.44

1.9.43

1.9.42

1.9.41

1.9.40

1.9.39

1.9.38

1.9.37

1.9.36

1.9.35

1.9.34

1.9.33

1.9.32

1.9.31

1.9.30

1.9.29

1.9.28

1.9.27

1.9.26

1.9.25

1.9.24

1.9.23

1.9.22

1.9.21

1.9.20

1.9.19

1.9.18

1.9.17

1.9.16

1.9.15

1.9.14

1.9.13

1.9.12

1.9.11

1.9.10

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.10

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.78

1.7.77

1.7.76

1.7.75

1.7.74

1.7.73

1.7.72

1.7.71

1.7.70

1.7.69

1.7.68

1.7.67

1.7.66

1.7.65

1.7.64

1.7.63

1.7.62

1.7.61

1.7.60

1.7.59

1.7.58

1.7.57

1.7.56

1.7.55

1.7.54

1.7.53

1.7.52

1.7.51

1.7.50

1.7.49

1.7.48

1.7.47

1.7.46

1.7.45

1.7.44

1.7.43

1.7.42

1.7.41

1.7.40

1.7.39

1.7.38

1.7.37

1.7.36

1.7.35

1.7.34

1.7.33

1.7.32

1.7.31

1.7.30

1.7.29

1.7.28

1.7.27

1.7.26

1.7.25

1.7.24

1.7.23

1.7.22

1.7.21

1.7.20

1.7.19

1.7.18

1.7.17

1.7.16

1.7.15

1.7.14

1.7.13

1.7.12

1.7.11

1.7.10

1.7.9

1.7.8

1.7.8a1374103622511 pre-release

1.7.7

1.7.7a1373303821467 pre-release

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.67

1.6.66

1.6.65

1.6.64

1.6.63

1.6.62

1.6.61

1.6.60

1.6.59

1.6.58

1.6.57

1.6.56

1.6.55

1.6.54

1.6.53

1.6.52

1.6.51

1.6.50

1.6.49

1.6.48

1.6.47

1.6.46

1.6.45

1.6.44

1.6.43

1.6.42

1.6.41

1.6.40

1.6.39

1.6.38

1.6.37

1.6.36

1.6.35

1.6.34

1.6.33

1.6.32

1.6.31

1.6.30

1.6.29

1.6.28

1.6.27

1.6.26

1.6.25

1.6.24

1.6.23

1.6.22

1.6.21

1.6.20

1.6.19

1.6.18

1.6.17

1.6.16

1.6.15

1.6.14

1.6.13

1.6.12

1.6.11

1.6.10

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.37

1.5.36

1.5.35

1.5.34

1.5.33

1.5.32

1.5.31

1.5.30

1.5.29

1.5.28

1.5.27

1.5.26

1.5.25

1.5.24

1.5.23

1.5.22

1.5.21

1.5.20

1.5.19

1.5.18

1.5.17

1.5.16

1.5.15

1.5.14

1.5.13

1.5.12

1.5.11

1.5.10

1.5.9

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.5.0rc9238204632375 pre-release

1.5.0rc9237711575148 pre-release

1.5.0rc9237309696369 pre-release

1.5.0rc9235810164209 pre-release

1.5.0rc9235211826225 pre-release

1.5.0rc9232904017091 pre-release

1.5.0rc9232816587778 pre-release

1.5.0rc9231316741137 pre-release

1.5.0rc9230711980156 pre-release

1.5.0rc9230001994068 pre-release

1.5.0rc9228709919581 pre-release

1.5.0rc9227505482890 pre-release

1.5.0rc9226811880913 pre-release

1.5.0rc9225710791626 pre-release

1.5.0rc9224103679317 pre-release

1.5.0rc9220010604950 pre-release

1.5.0rc9219310821193 pre-release

1.5.0rc9216009937633 pre-release

1.5.0rc9215108125414 pre-release

1.5.0rc9214410208671 pre-release

1.5.0rc9214011953671 pre-release

1.5.0rc9212308703501 pre-release

1.5.0rc9211403024029 pre-release

1.5.0rc9210200991489 pre-release

1.5.0rc9209002596082 pre-release

1.5.0rc9207800836909 pre-release

1.5.0rc9207011180609 pre-release

1.5.0rc9205913270508 pre-release

1.5.0rc9203313270508 pre-release

1.5.0rc9202711764156 pre-release

1.5.0rc9201513259057 pre-release

1.5.0rc9200805234983 pre-release

1.5.0rc9197412924590 pre-release

1.5.0rc9197212472686 pre-release

1.5.0rc9196208314246 pre-release

1.5.0rc9195400270327 pre-release

1.5.0rc9193215149708 pre-release

1.5.0rc9192016554667 pre-release

1.5.0rc9190704883749 pre-release

1.5.0rc9190015282548 pre-release

1.5.0rc9188807400796 pre-release

1.5.0rc9187210536722 pre-release

1.5.0rc9186614649864 pre-release

1.5.0rc9183710847250 pre-release

1.5.0rc9183513819989 pre-release

1.5.0rc9181700408075 pre-release

1.5.0rc9178701900018 pre-release

1.5.0rc9175313495131 pre-release

1.5.0rc9174911844893 pre-release

1.5.0rc9171103440397 pre-release

1.5.0rc9166510100968 pre-release

1.5.0rc9165501361799 pre-release

1.5.0rc9161504985437 pre-release

1.5.0rc9160504214835 pre-release

This version

1.5.0rc9152109758095 pre-release

1.5.0rc9150505439162 pre-release

1.5.0rc9148515041731 pre-release

1.5.0rc9147101285904 pre-release

1.5.0rc9146500621821 pre-release

1.5.0rc9143801179879 pre-release

1.5.0rc9142213542411 pre-release

1.5.0rc9139116470917 pre-release

1.4.89

1.4.88

1.4.87

1.4.86

1.4.85

1.4.84

1.4.83

1.4.82

1.4.81

1.4.80

1.4.79

1.4.78

1.4.77

1.4.76

1.4.75

1.4.74

1.4.73

1.4.72

1.4.71

1.4.70

1.4.69

1.4.68

1.4.67

1.4.66

1.4.65

1.4.64

1.4.63

1.4.62

1.4.61

1.4.60

1.4.59

1.4.58

1.4.57

1.4.56

1.4.55

1.4.54

1.4.53

1.4.52

1.4.51

1.4.50

1.4.49

1.4.48

1.4.47

1.4.46

1.4.46rc9138903211311 pre-release

1.4.45

1.4.44

1.4.43

1.4.42

1.4.41

1.4.40

1.4.39

1.4.38

1.4.37

1.4.36

1.4.35

1.4.34

1.4.33

1.4.32

1.4.31

1.4.30

1.4.29

1.4.28

1.4.27

1.4.26

1.4.25

1.4.24

1.4.23

1.4.22

1.4.21

1.4.20

1.4.19

1.4.18

1.4.17

1.4.16

1.4.15

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc976316120145 pre-release

1.4.0rc974214509214 pre-release

1.4.0rc973505921013 pre-release

1.4.0rc971314394601 pre-release

1.4.0rc969410922786 pre-release

1.4.0rc967016405994 pre-release

1.4.0rc964404131143 pre-release

1.4.0rc963308087965 pre-release

1.4.0rc962714210300 pre-release

1.4.0rc962115664049 pre-release

1.4.0rc960013026076 pre-release

1.4.0rc956815915826 pre-release

1.4.0rc956500675456 pre-release

1.4.0rc955916312336 pre-release

1.4.0rc950607194166 pre-release

1.4.0rc950303905514 pre-release

1.4.0rc949500771945 pre-release

1.4.0rc947708991658 pre-release

1.4.0rc947104152050 pre-release

1.3.273

1.3.272

1.3.271

1.3.270

1.3.269

1.3.268

1.3.267

1.3.266

1.3.265

1.3.264

1.3.263

1.3.262

1.3.261

1.3.260

1.3.259

1.3.258

1.3.257

1.3.256

1.3.255

1.3.254

1.3.253

1.3.252

1.3.251

1.3.250

1.3.249

1.3.248

1.3.247

1.3.246

1.3.245

1.3.244

1.3.243

1.3.242

1.3.241

1.3.240

1.3.239

1.3.238

1.3.237

1.3.236

1.3.216

1.3.179

1.3.177

1.3.142

1.3.119

1.3.114

1.3.59

1.3.53

1.3.42

1.3.40

1.3.30

1.3.28

1.3.26

1.3.13

1.3.8

1.3.6

1.3.5

1.3.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

power_grid_model-1.5.0rc9152109758095-py3-none-win_amd64.whl (370.1 kB view details)

Uploaded Python 3 Windows x86-64

power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (474.7 kB view details)

Uploaded Python 3 manylinux: glibc 2.17+ x86-64

power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (455.7 kB view details)

Uploaded Python 3 manylinux: glibc 2.17+ ARM64

power_grid_model-1.5.0rc9152109758095-py3-none-macosx_11_0_arm64.whl (382.1 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

power_grid_model-1.5.0rc9152109758095-py3-none-macosx_10_9_x86_64.whl (404.3 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file power_grid_model-1.5.0rc9152109758095-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9152109758095-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 94fb452f5501e6eacc6870cf61018ea7902aef5d35b65b244ebb8d09e2bc446d
MD5 bde31110a650370ad9730c05d35ab437
BLAKE2b-256 02c4503417c810664c23f1e3aa64a1ff506a344b38a70a951d7aff85e172d5d8

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 653501a45361567cec7b90f3dadf228d5d9c8d6fc372ce90db7d9c75516a0f75
MD5 8ff3a2c554ed8c4cd2677adea56e4d5e
BLAKE2b-256 1bc049c8b5269504ea857e1d44be418ce444d35d8e2f138ba4b67cd3ec237cf6

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9152109758095-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 63da1263d508d3d734808c3c56e53a2ea5b864f6fa4bdbd1fce590aa9677e396
MD5 74332d5c98e01821316ef21a9cdfb429
BLAKE2b-256 1d12c821c2f37e030d73eeda9820f67013f7ae51e02374e9fa8d3b45f67c77c9

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9152109758095-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9152109758095-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 851d7e9e088168d7add46861b3613519edc8ec46d9a3454c17c576776222977a
MD5 45646cf5442f13de88235ef51c4d1afe
BLAKE2b-256 e9112217bd1a79c43c097e6ce28c8e016e1097bd0dfa4aed7ff9d22451ec6d45

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9152109758095-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9152109758095-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a0093f4b9f4e68aadea6424069b7dbd9e0fb656c62ab2c5c14cdf2e09b44b0f7
MD5 1fdc859c56c93fb1eb48510a4de1a2f9
BLAKE2b-256 1b2d0d425cba411a848b959a0a765ecc70def6a1fdde1f1f59b99dacc5fa894f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page