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v0.13. Major version. CXSparse is used to replace the complex sparse …
…matrix in NETWORK matrix. See changes in v0.12.7.x. Update README. Remove code/version.h
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# Simulation Toolkit for Electrical Power Systems | ||
- Maintainer: Changgang Li <[email protected]> from School of Electrical Engineering, Shandong University. | ||
- Documentation: http://steps.drli.group:310 | ||
- Date of Readme: August 25, 2019 | ||
- Documentation: [N/A] | ||
- Date of Readme: Jan. 20, 2020 | ||
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## Major functions | ||
Simulation Toolkit for Electrical Power Systems (STEPS) is an open source power system simulator designed for balanced large-scale AC-DC hybrid power system analysis. | ||
Currently, it supports powerflow solution and dynamic simulation. In the future, short circuit analysis and eigenvalue analysis will be supported with no timetable. | ||
The data format of STEPS is improved based on PSS/E raw and dyr data format. BPA dat format is also supported. | ||
You are encourage to join us for further development. | ||
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## Dependency | ||
STEPS depends on CSparse, CXSparse, CppTest, and RapidJSON. The CXSparse is modified to avoid confliction between CSparse and CXSparse by changing prefix cs_ and CS_ to cxs_ and CSX_ . | ||
Though BLAS, CBLAS, and other SuiteSparse codes are included in the package, they will be removed in future. | ||
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## Prerequisite | ||
1. Install Code::Blocks. | ||
2. Install C and C++ compiler supprting C++17. GCC is recommended. | ||
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4. Install Python if you want to try the stepspy module. 64-bit version is recommended. However, if you want to use 32-bit dynamic library of STEPS, you should install Python of the 32-bit version. | ||
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## How to build | ||
1. Select Linear Algebra solver to use | ||
1. Open STEPS.cbp in the code/ folder with Code::Blocks. | ||
2. Go to header/basic/sparse\_matrix\_define.h. Comment the solver you don't want to use. For example, if you want to keep only c\_sparse, comment umfpack and klu. | ||
3. Go to source/basic/sparse\_matrix\_klu.cpp and umfpack.cpp, disable 'compile' and 'link' options of the two files. | ||
4. Save STEPS.cbp. | ||
2. Compile Linear Algebra solver. | ||
1. Open the Linear Algebra solver project. For example, if you choose to use CSparse as default Linear Algebra solver, open csparse.cbp in the code/ folder with Code::Blocks. | ||
1. Compile CSparse | ||
1. Open csparse.cbp in the code/ folder with Code::Blocks. | ||
2. Go 'Project'-'Properties'-'Build targets'and set type as 'static library'. | ||
3. Compile CSparse. You should get a libCSparse.a in folder build/bin/Release/. | ||
2. Complie CXSparse | ||
1. Open cxsparse.cbp in the code/ folder with Code::Blocks | ||
2. Go 'Project'-'Properties'-'Build targets'and set type as 'static library'. | ||
3. Compile CXSparse. You should get a libCXSparse.a in folder build/bin/Release/. | ||
3. Compile CppTest. | ||
1. Open cpptest.cbp in the code/ folder with Code::Blocks, set build target as 'static library'. | ||
2. Compile CppTest. You should get a libCppTest.a in folder build/bin/Release/. | ||
4. Build STEPS | ||
1. Open STEPS.cbp in the code/ folder with Code::Blocks. | ||
2. Go 'Project'-'Build options'-'Linker settings', and add the libCsparse.a and libCppTest.a library to 'Link libraries'. | ||
2. Go 'Project'-'Build options'-'Linker settings', and add the libCsparse.a, libCXSparse.a, and libCppTest.a library to 'Link libraries'. | ||
3. Go 'Project'-'Properties'-'Build Target', and select build target | ||
- If you want to compile STEPS as dynamic library, select 'Dynamic library', and set the output file name as 'libsteps.so' for Unix-like systems or 'libsteps.dll' for Windows systems. | ||
- If you want to compile STEPS as console application, select 'Console application'. | ||
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6. When compiling in Windows, remove -no-pie and -lgfortran options and remove libKLU.a, libBLAS.a, libUMFPACK.a | ||
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Here is a complete procedure of how to build STEPS. | ||
1. Compile BLAS as static library. You can find BLAS.cbp in the code/ folder. | ||
2. Compile UMFPACK as static library. You can find UMFPACK.cbp in the code/ folder. | ||
3. Compile CSparse as static library. You can find CSparse.cbp in the code/ folder. | ||
4. Compile CppTest as static library. You can find CppTest.cbp in the code/ folder. | ||
5. Compile STEPS as dynamic library or exectuable file. Include libUMFPACK.a, libBLAS.a, libCSparse.a, and libCpptest.a. Put libBLAS.a after libUMFPACK.a. | ||
1. Compile CSparse as static library. You can find CSparse.cbp in the code/ folder. | ||
2. Compile CXSparse as static library. You can find CXSparse.cbp in the code/ folder. | ||
3. Compile CppTest as static library. You can find CppTest.cbp in the code/ folder. | ||
4. Compile STEPS as dynamic library or exectuable file. Include libCSparse.a, libCXSparse.a, and libCpptest.a. | ||
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## How to use stepspy | ||
stepspy is a Python module of advanced APIs of STEPS. It enables most of STEPS applications. It is recommended to use stepspy in Python 3 of 64-bit version, though Python 2 is also supported. | ||
stepspy is a Python module of advanced APIs of STEPS. It enables most of STEPS applications. It is recommended to use stepspy in Python 3 of 64-bit version. | ||
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stepspy has been uploaded to pypi.org, and can be installed via: | ||
- pip3 install stepspy | ||
- python -m pip install stepspy | ||
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Both parallel and serial library files should be built and copied to the stepspy folder. | ||
Remember to copy the built libSTEPS.dll or libSTEPS.so in release folder to the stepspy folder. |
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