matpower6.0b1

所属分类:网络编程
开发工具:matlab
文件大小:10552KB
下载次数:113
上传日期:2017-07-17 12:01:59
上 传 者青春的张扬俏
说明:  基于30节点的半不量法编程,概率潮流计算,有详细注释
(30 nodes based on the method of half not programming, the probabilistic power flow calculation, there are detailed notes)

文件列表:
matpower6.0b1\@opf_model\display.m (712, 2016-05-31)
matpower6.0b1\@opf_model\get_mpc.m (435, 2016-05-31)
matpower6.0b1\@opf_model\opf_model.m (2227, 2016-05-31)
matpower6.0b1\@opt_model\add_constraints.m (8043, 2016-05-31)
matpower6.0b1\@opt_model\add_costs.m (9359, 2016-05-31)
matpower6.0b1\@opt_model\add_vars.m (5952, 2016-05-31)
matpower6.0b1\@opt_model\build_cost_params.m (6994, 2016-05-31)
matpower6.0b1\@opt_model\compute_cost.m (3146, 2016-05-31)
matpower6.0b1\@opt_model\describe_idx.m (2294, 2016-05-31)
matpower6.0b1\@opt_model\display.m (5178, 2016-05-31)
matpower6.0b1\@opt_model\get.m (646, 2016-05-31)
matpower6.0b1\@opt_model\getN.m (1626, 2016-05-31)
matpower6.0b1\@opt_model\getv.m (4466, 2016-05-31)
matpower6.0b1\@opt_model\get_cost_params.m (2197, 2016-05-31)
matpower6.0b1\@opt_model\get_idx.m (2169, 2016-05-31)
matpower6.0b1\@opt_model\linear_constraints.m (4192, 2016-05-31)
matpower6.0b1\@opt_model\opt_model.m (7902, 2016-05-31)
matpower6.0b1\@opt_model\userdata.m (1133, 2016-05-31)
matpower6.0b1\add_userfcn.m (5192, 2016-05-31)
matpower6.0b1\apply_changes.m (17386, 2016-05-31)
matpower6.0b1\AUTHORS (297, 2016-05-31)
matpower6.0b1\bustypes.m (1981, 2016-05-31)
matpower6.0b1\case118.m (33539, 2016-05-31)
matpower6.0b1\case1354pegase.m (214629, 2016-05-31)
matpower6.0b1\case13659pegase.m (2258871, 2016-05-31)
matpower6.0b1\case14.m (4375, 2009-12-26)
matpower6.0b1\case145.m (60070, 2016-05-31)
matpower6.0b1\case1888rte.m (290087, 2016-05-31)
matpower6.0b1\case1951rte.m (305188, 2016-05-31)
matpower6.0b1\case2383wp.m (340684, 2016-05-31)
matpower6.0b1\case24_ieee_rts.m (8576, 2016-05-31)
matpower6.0b1\case2736sp.m (717526, 2016-05-31)
matpower6.0b1\case2737sop.m (715109, 2016-05-31)
matpower6.0b1\case2746wop.m (732787, 2016-05-31)
matpower6.0b1\case2746wp.m (736164, 2016-05-31)
matpower6.0b1\case2848rte.m (432127, 2016-05-31)
matpower6.0b1\case2868rte.m (439840, 2016-05-31)
matpower6.0b1\case2869pegase.m (464539, 2016-05-31)
matpower6.0b1\case30.m (4999, 2016-05-31)
matpower6.0b1\case300.m (65692, 2016-05-31)
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======================================================== MATPOWER - A MATLAB(R) Power System Simulation Package ======================================================== Version: 6.0b1 Home Page: http://www.pserc.cornell.edu/matpower/ Authors: Ray Zimmerman Carlos E. Murillo-Sanchez and others, see AUTHORS file Wed, Jun 1, 2016 Copyright (c) 1997-2016 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 . 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 denote the path to this directory. 3. Add the following directories to your MATLAB path: - core MATPOWER functions /t - test scripts for MATPOWER /most - core MOST functions /most/t - test scripts for MOST (optional) subdirectories of /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 6.0b1 ----------------------------- Below is a summary of the changes since version 5.1 of MATPOWER. See the CHANGES file in the docs directory for all the gory details. * New Case Files: - Added 9 new case files, 8 cases ranging from 1888 to 6515 buses representing the French system, and a 13,659-bus case representing parts of the of the European high voltage transmission network, stemming from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project. Thanks again to Cedric Josz and colleagues from the French Transmission System Operator. - Added case145.m, IEEE 145 bus, 50 generator dynamic test case from http://www.ee.washington.edu/research/pstca/dyn50/pg_tcadd50.htm. * New Features: - MATPOWER Optimal Scheduling Tool (MOST) is a major new feature, implementing a full range of optimal power scheduling problems, from a simple as a deterministic, single period economic dispatch problem with no transmission constraints to as complex as a stochastic, security-constrained, combined unit-commitment and multiperiod OPF problem with locational contingency and load-following reserves, ramping costs and constraints, deferrable demands, lossy storage resources and uncertain renewable generation. See docs/MOST-manual.pdf for details. - General mechanism for applying modifications to an existing MATPOWER case. See apply_changes() and idx_ct(). - Experimental foundation for handling of ZIP load models in power flow (Newton, fast-decoupled only), continuation power flow, and optimal power flow (MIPS, fmincon, Knitro, IPOPT solvers only). Currently, ZIP loads can only be specified on a system-wide basis using the experimental options 'exp.sys_wide_zip_loads.pw' and 'exp.sys_wide_zip_loads.qw'. - Support for quadprog() under GNU Octave. - New contributed extras: - Plot electrically meaningful drawings of a MATPOWER case using plot_mpc() in extras/misc, contributed by Paul Cuffe. - Find the maximum loadability limit of a system via an optimal power flow and dispatchable loads, using maxloadlim() in extras/maxloadlim, contributed by Camille Hamon. - Create a quadratically-constrained quadratic programming (QCQP) representation of the AC power flow problem using using qcqp_opf() in extras/misc, contributed by Cedric Josz and colleagues. - New functions: - apply_changes() and idx_ct() provide a general mechanism for applying modifications to an existing MATPOWER case. - feval_w_path() evaluates a function located at a specified path, outside of the Matlab path. - mpopt2qpopt() provides a common interface for creating options struct for mi/qps_matpower() from a MATPOWER options struct. - New function options: - Option to call makeB(), makeBdc(), makePTDF(), scale_load(), and total_load() with full case struct (mpc) instead of individual data matrices (bus, branch, etc.). - total_load(), which now computes voltage-dependent load values, accepts the values 'bus' and 'area' as valid values for 'load_zone' argument. * Other Improvements: - Changed default solver order for LP, QP, MILP, MIQP problems to move Gurobi before CPLEX and BPMPD after OT and GLPK. - Added some caching to mpoption() and made minor changes to nested_struct_copy() to greatly decrease the overhead added by mpoption() when running many small problems. - Added "Release History" section to Appendix of manual. - Many new tests. * Bugs fixed: - Fixed bug in toggle_dclines() that resulted in fatal error when used with OPF with reactive power costs. Thanks to Irina Boiarchuk. - Fixed fatal bug in update_mupq() affecting cases where QMIN is greater than or equal to QC1MIN and QC2MIN (or QMAX is less than or equal to QC1MAX and QC2MAX) for all generators. Thanks Jose Miguel. - Copying a field containing a struct to a non-struct field with nested_struct_copy() now overwrites rather than causing a fatal error. - Fixed a bug in psse_convert_xfmr() where conversion of data for transformers with CZ=3 was done incorrectly. Thanks to Jose Marin and Yujia Zhu. - Fixed a fatal bug in psse_convert_xfmr() affecting transformers with CW and/or CZ equal to 1. Thanks to Matthias Resch. - Fixed a crash in have_fcn() caused by changes in OPTI Toolbox v2.15 (or possibly v2.12) - Commented out isolated bus 10287 in case3375wp.m. - Added code to DC OPF to return success = 0 for cases where the matrix is singular (e.g. islanded system without slack). - Fixed problem in have_fcn() where SeDuMi was turning off and leaving off all warnings. * Incompatible Change: - Removed fairmax() from the public interface by moving it inside uopf(), the only place it was used. --------------- DOCUMENTATION --------------- There are four primary sources of documentation for MATPOWER. - MATPOWER User's Manual - MOST User's Manual - MATPOWER Online Function Reference (http://www.pserc.cornell.edu/matpower/docs/ref) - MATLAB's 'help' command The MATPOWER and MOST User's Manuals are included in the distribution (docs/MATPOWER-manual.pdf and docs/MOST-manual.pdf) or they can be downloaded separately from http://www.pserc.cornell.edu/matpower/MATPOWER-manual.pdf and http://www.pserc.cornell.edu/matpower/MOST-manual.pdf. Previous versions are available at http://www.pserc.cornell.edu/matpower/docs/. Each M-file has its own documentation which can be accessed by typing at the MATLAB prompt: help Documentation for the case data file format can be found by typing: help caseformat If something is still unclear after checking the manual and the help, the source code *is* the documentation. ;-) TECH NOTES There are also two MATPOWER Technical Notes that may be of interest: [TN1] R. D. Zimmerman, "Uniform Price Auctions and Optimal Power Flow, MATPOWER Technical Note 1, February 2010. http://www.pserc.cornell.edu/matpower/TN1-OPF-Auctions.pdf [TN2] R. D. Zimmerman, "AC Power Flows, Generalized OPF Costs and their Derivatives using Complex Matrix Notation", MATPOWER Technical Note 2, February 2010. http://www.pserc.cornell.edu/matpower/TN2-OPF-Derivatives.pdf PUBLICATIONS & PRESENTATIONS [1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER's Extensible Optimal Power Flow Architecture," Power and Energy Society General Meeting, 2009 IEEE, pp. 1-7, July 26-30 2009. http://www.pserc.cornell.edu/matpower/MATPOWER-OPF.pdf http://dx.doi.org/10.1109/PES.2009.5275967 slides of presentation: http://www.pserc.cornell.edu/matpower/MATPOWER-OPF-slides.pdf [2] 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," accepted to IEEE Transactions on Power Systems. http://www.pserc.cornell.edu/matpower/MATPOWER-paper.pdf http://dx.doi.org/10.1109/TPWRS.2010.2051168 [3] H. Wang, C. E. Murillo-Sanchez, R. D. Zimmerman, R. J. Thomas, "On Computational Issues of Market-Based Optimal Power Flow," Power Systems, IEEE Transactions on, vol. 22, no. 3, pp. 1185-1193, Aug. 2007. http://dx.doi.org/10.1109/TPWRS.2007.901301 ------------------- OPTIONAL PACKAGES ------------------- There are three optional packages to enhance the performance of MATPOWER that may be downloaded separately. MINOPF and BPMPDMEX have more restrictive licenses than MATPOWER. Please see the individual Terms of Use for details. - BPMPD_MEX MEX-file version of the high performance BPMPD interior point LP and QP solver. Speeds up DC and LP-based OPF solvers, and improves robustness of MINOPF. See http://www.pserc.cornell.edu/bpmpd/ - CLP COIN-OR Linear Programming solver implements high performance simplex and barrier LP and QP solvers that MATPOWER can use for the DC OPF. Available from: http://www.coin-or.org/projects/Clp.xml. - CPLEX Includes high-performance, large-scale LP and QP solvers that MATPOWER can use for the DC OPF. Requires the Matlab interface to CPLEX, available from http://www.ibm.com/software/integration/optimization/cplex-optimizer/. - GLPK GNU Linear Programming Kit includes large-scale LP solvers that MATPOWER can use for the DC OPF. Available from http://www.gnu.org/software/glpk/ and included with Octave. - GUROBI Includes high-performance, large-scale LP and QP solvers that MATPOWER can use for the DC OPF. Requires the Gurobi MEX Matlab interface, available from http://www.convexoptimization.com/wikimization/index.php/Gurobi_mex. - IPOPT An interior point optimizer for large scale non-linear optimization that MATPOWER can use for both AC and DC OPF problems. Requires the Matlab MEX interface for IPOPT, available from http://www.coin-or.org/projects/Ipopt.xml. Pre-built MEX binaries for Windows available with OPTI Toolbox from http://www.i2c2.aut.ac.nz/Wiki/OPTI/, and high-performance IPOPT-PARDISO pre-built MEX binaries for Mac and Linux from the PARDISO Project at http://www.pardiso-project.org/. - KNITRO A general purpose optimization solver specializing in nonlinear problems that MATPOWER can use for AC OPFs. Requires the Knitro libraries, available from http://www.ziena.com/. - MINOPF A MINOS-based AC OPF solver implemented as a Fortran MEX file. See http://www.pserc.cornell.edu/minopf/ - MOSEK Includes high-performance, large-scale LP and QP solvers that MATPOWER can use for the DC OPF. Requires the Matlab interface to MOSEK, available from http://www.mosek.com/. - TSPOPF A package of three AC OPF solvers implemented as C MEX files. Suitable for large scale problems. See http://www.pserc.cornell.edu/tspopf/ These packages are distributed separately since each has it's own license agreement and terms of use. Note: For Windows users, one of the best ways to get access to some high performance solvers, without dealing with the pain of building the MEX interfaces yourself, is to install the OPTI Toolbox by Jonathan Currie, available at: http://www.i2c2.aut.ac.nz/Wiki/OPTI/. The installation is simple and it includes pre-built MEX files for several of the above solvers, including CLP, GLPK and IPOPT. -------------- MAILING LIST -------------- An e-mail list has been set up to facilitate discussion of MATPOWER. Only list subscribers are permitted to post to the list. Feel free to use this list to discuss anything related to MATPOWER, to ask questions about MATPOWER, or to provide feedback to the developers of MATPOWER, such as bug reports, patches or ideas for improvements (though we make no guarantees about if/when they might be included). Also, if you have any of your own MATLAB power systems code that you would like to contribute, feel free to contact us via this list about making it available on the MATPOWER web site. Joining the list ---------------- To join the MATPOWER mailing list, send an e-mail to with a single line with the word "join" in the body of the message. You must send the request from the e-mail address where you want to receive the list's messages. And be sure it is a plain text e-mail, that is, with no formatting, font styles or HTML code. Sending mail to the list ------------------------ To send an e-mail to all of the subscribers of the MATPOWER mailing list, simply address your e-mail to . Only subscribers are permitted to send e-mail to the list. Leaving the list ---------------- You can unsubscribe from the list at any time by sending an e-mail to with a single line with the word "leave" in the body of the message

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