蒙特卡洛和概率密度

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开发工具:matlab
文件大小:3627KB
下载次数:30
上传日期:2020-01-09 14:51:04
上 传 者七号约的
说明:  考虑不确定性,蒙特卡洛进行负荷模拟,潮流计算
(Uncertainty, load simulation, power flow calculation)

文件列表:
蒙特卡洛随机潮流与核密度估计Matlab程序\IEEE33.m (3935, 2017-11-21)
蒙特卡洛随机潮流与核密度估计Matlab程序\MCPPF_ksdensity.m (6529, 2017-11-21)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower (0, 2017-11-21)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model (0, 2017-11-21)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\add_constraints.m (4745, 2010-06-09)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\add_costs.m (5694, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\add_vars.m (3076, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\build_cost_params.m (4368, 2011-12-02)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\compute_cost.m (4061, 2011-12-02)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\display.m (3959, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\get.m (1657, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\get_cost_params.m (2740, 2011-12-02)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\get_idx.m (3012, 2010-06-09)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\get_mpc.m (1450, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\getN.m (2405, 2010-06-09)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\getv.m (2221, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\linear_constraints.m (2945, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\opf_model.m (8294, 2010-06-09)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\@opf_model\userdata.m (2149, 2010-05-05)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\add_userfcn.m (6175, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\bustypes.m (2998, 2010-04-27)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case_ieee30.m (7587, 2010-03-12)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case_ieee33.m (8768, 2015-12-02)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case118.m (32633, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case14.m (4521, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case2383wp.m (340794, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case24_ieee_rts.m (8708, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case2736sp.m (717636, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case2737sop.m (715220, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case2746wop.m (732898, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case2746wp.m (736274, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case30.m (5119, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case300.m (68081, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case3012wp.m (423381, 2011-10-31)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case30pwl.m (4507, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case30Q.m (4540, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case3120sp.m (390438, 2011-10-31)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case3375wp.m (487140, 2011-10-31)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case39.m (9719, 2010-03-11)
蒙特卡洛随机潮流与核密度估计Matlab程序\Modified_matpower\case4gs.m (1333, 2010-03-11)
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======================================================== MATPOWER - A MATLAB(R) Power System Simulation Package ======================================================== Version: 4.1 Home Page: http://www.pserc.cornell.edu/matpower/ Authors: Ray Zimmerman Carlos E. Murillo-Sanchez Deqiang (David) Gan Wed, Dec 14, 2011 $Id: README,v 1.52 2011/12/14 17:07:47 cvs Exp $ Copyright (c) 1997-2011 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 4, the code in MATPOWER is distributed under the GNU General Public License (GPL) with an exception added to clarify our intention to allow MATPOWER to interface with MATLAB as well as any other MATLAB code or MEX-files a user may have installed, regardless of their licensing terms. - 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 prior to MATPOWER 4 use a different license. ----------------- GETTING STARTED ----------------- System Requirements ------------------- - MATLAB(R) version 6.5 or later (available from The MathWorks, Inc. http://www.mathworks.com/), or - GNU Octave version 3.2 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 4.1 --------------------------- Below is a summary of the changes since version 4.0 of MATPOWER. See the CHANGES file in the docs directory for all the gory details. * New features: - More new high performance OPF solvers: - Support for the Knitro interior point optimizer for large scale non-linear optimization. Use OPF_ALG = 600 for to select Knitro to solve the AC OPF. Requires the Matlab Optimization Toolbox and a license for Knitro, available from http://www.ziena.com/. See 'help mpoption' for more Knitro options. - Support for Gurobi to solve LP and QP problems. Set option OPF_ALG_DC = 700 to use Gurobi to solve the DC OPF. Requires Gurobi (http://www.gurobi.com/) and the Gurobi MEX interface (http://www.convexoptimization.com/wikimization/index.php/Gurobi_mex). See 'help mpoption' for more Gurobi options. - Updated for compatibility with CPLEX 12.3. - Changed options so that FMINCON uses its interior-point solver by default. Much faster on larger systems. - Support for basic modeling of DC transmission lines. - New case files with more recent versions of Polish system. - Power flow can handle networks with islands. * Bugs fixed: - Computation of quadratic user-defined costs had a potentially fatal error. Thanks to Stefanos Delikaraoglou for find this. - Calculation of reserve prices in toggle_reserves() had an error. * INCOMPATIBLE CHANGES: - Optional packages TSPOPF and MINOPF must be updated to latest versions. --------------- DOCUMENTATION --------------- There are two primary sources of documentation for MATPOWER. - MATLAB's 'help' command - MATPOWER User's Manual The User's Manual is included in the distribution (docs/manual.pdf) or it can be downloaded separately from http://www.pserc.cornell.edu/matpower/manual.pdf. 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 ------------------- 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/ - 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/. - 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 https://projects.coin-or.org/Ipopt/. - 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/ and the Optimization Toolbox from The MathWorks. - 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. -------------- 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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