电力系统潮流程序matpower及说明书

======================================================== MATPOWER - A MATLAB(R) Power System Simulation Package ======================================================== Version: 5.1 Home Page: http://www.pserc.cornell.edu/matpower/ Authors: Ray Zimmerman <rz10@cornell.edu> Carlos E. Murillo-Sanchez <carlos_murillo@ieee.org> and others, see AUTHORS file Fri, Mar 20, 2015 $Id: README.txt 2666 2015-03-20 22:46:13Z ray $ Copyright (c) 1997-2015 by Power System Engineering Research Center (PSERC) See http://www.pserc.cornell.edu/matpower/ for more info. Copying and distribution of this file, with or without modification, are permitted in any medium without royalty provided the copyright notice and this notice are preserved. This file is offered as-is, without any warranty. -------------- INTRODUCTION -------------- MATPOWER is a package of MATLAB(R) M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify. It was initially developed as part of the PowerWeb project <http://www.pserc.cornell.edu/powerweb/>. MATPOWER can be downloaded from the MATPOWER home page above. -------------- TERMS OF USE -------------- Please see the LICENSE file for the details. But here is the summary: - Beginning with version 5.1, the code in MATPOWER is distributed under the 3-clause BSD license. - MATPOWER is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY. - While not required by the terms of the license, we do request that publications derived from the use of MATPOWER explicitly acknowledge that fact by citing [1]. [1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12–19, Feb. 2011. Note: Versions 4.0 through 5.0 were licensed under the GPL and versions prior to MATPOWER 4 use a different license. ----------------- GETTING STARTED ----------------- System Requirements ------------------- - MATLAB(R) version 7 (R14) or later (available from The MathWorks, Inc. http://www.mathworks.com/), or - GNU Octave version 3.4 or later (free software available from http://www.gnu.org/software/octave/). Installation ------------ 1. Follow the download instructions on the MATPOWER home page. You should end up with a file named matpowerXXX.zip, where XXX depends on the version of MATPOWER. 2. Unzip the downloaded file. Move the resulting matpowerXXX directory to the location of your choice. These files should not need to be modified, so it is recommended that they be kept separate from your own code. Let $MATPOWER denote the path to this directory. 3. Add the following directories to your MATLAB path: $MATPOWER - core MATPOWER functions $MATPOWER/t - test scripts for MATPOWER (optional) subdirectories of $MATPOWER/extras - additional functionality and contributed code 4. At the MATLAB prompt, type 'test_matpower' (without the quotes) to run the test suite and verify that MATPOWER is properly installed and functioning. Running MATPOWER ---------------- To run a simple Newton power flow on the 9-bus system specified in the file case9.m, with the default algorithm options, at the MATLAB prompt, type: runpf('case9') To load the 30-bus system data from case30.m, increase its real power demand at bus 2 to 30 MW, then run an AC optimal power flow with default options, type: define_constants; mpc = loadcase('case30'); mpc.bus(2, PD) = 30; runopf(mpc); By default, the results of the simulation are pretty-printed to the screen, but the solution can also be optionally returned in a 'results' struct. The following example shows how simple it is, after running a DC OPF on the 118-bus system in case118.m, to access the final objective function value, the real power output of generator 6 and the power flow in branch 51. results = rundcopf('case118'); final_objective = results.f; gen6_output = results.gen(6, PG); branch51_flow = results.branch(51, PF); For additional info, see the User's Manual and the on-line help documentation for the various MATPOWER functions. For example: help runpf help runopf help mpoption help caseformat --------------------------- WHAT'S NEW IN VERSION 5.1 --------------------------- Below is a summary of the changes since version 5.0 of MATPOWER. See the CHANGES file in the docs directory for all the gory details. * New license: - Switched to the more permissive 3-clause BSD license from the previously used GNU General Public License (GPL) v3.0. * New case files: - Added four new case files, ranging from 89 up to 9421 buses, representing parts of the European high voltage transmission network, stemming from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project. Thanks to Cedric Josz and colleagues from the French Transmission System Operator. * New documentation: - Added an online function reference to the web site at http://www.pserc.cornell.edu//matpower/docs/ref/. * New features: - Added support for using PARDISO (http://www.pardiso-project.org/) as linear solver for computing interior-point update steps in MIPS, resulting in dramatic improvements in computation time and memory use for very large-scale problems. - Added support for LP/QP solver CLP (COIN_OR Linear Programming, http://www.coin-or.org/projects/Clp.xml). Use 'opf.dc.solver' option 'CLP' or qps_clp(). - Added support for OPTI Toolbox (http://www.i2c2.aut.ac.nz/Wiki/OPTI/) versions of CLP, GLPK and IPOPT solvers, providing a very simple installation path for some free high-performance solvers on Windows platforms. - Network reduction toolbox for creating smaller approximate network equivalents from a larger original case file, contributed by Yujia Zhu and Daniel Tylavsky. - Added unified interface to various solvers for mixed-integer linear and quadratic programming (MILP/MIQP) problems. - Major update to have_fcn(), which now determines and caches version numbers and release dates for optional packages, and includes ability to toggle the availability of optional functionality. - New and updated support for 3rd party solvers: - High-performance IPOPT-PARDISO solver builds from the PARDISO Project http://www.pardiso-project.org/index.php?p=manual (at time of release this is MATPOWER's highest performing solver for very large scale AC OPF problems) - OPTI Toolbox versions of CLP, GLPK, IPOPT - CLP - Gurobi 6.x - Knitro 9.1 - MOSEK 7.1 - Optimization Toolbox 7.2 - dual-simplex algorithm for linprog() - intlinprog() for MILP - New functions: - mplinsolve() provides unified interface for linear system solvers, including PARDISO and built-in backslash operator - miqps_matpower() provides unified interface to multiple MILP/MIQP solvers. - miqps_clex() provides a unified MILP/MIQP interface to CPLEX. - miqps_glpk() provides a unified MILP interface to GLPK. - miqps_gurobi() provides a unified MILP/MIQP interface to Gurobi. - miqps_mosek() provides a unified MILP/MIQP interface to MOSEK. - miqps_ot() provides a unified MILP interface to intlingprog(). - mosek_symbcon() defines symbolic constants for setting MOSEK