matpower5.0工具箱，可进行最优潮流计算.rar

======================================================== MATPOWER - A MATLAB(R) Power System Simulation Package ======================================================== Version: 5.0 Home Page: http://www.pserc.cornell.edu/matpower/ Authors: Ray Zimmerman <rz10@cornell.edu> Carlos E. Murillo-Sanchez <carlos_murillo@ieee.org> Deqiang (David) Gan <dgan@zju.edu.cn> Wed, Dec 17, 2014 $Id: README.txt 2489 2014-12-17 16:27:36Z ray $ Copyright (c) 1997-2014 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 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 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 5.0 --------------------------- Below is a summary of the changes since version 4.1 of MATPOWER. See the CHANGES file in the docs directory for all the gory details. * New features: - Continuation power flow with tangent predictor and Newton method corrector, based on code contributed by Shrirang Abhyankar and Alex Flueck. - SDP_PF, a set of applications of a semidefinite programming relaxation of the power flow equations, contributed by Dan Molzahn (see 'extras/sdp_pf'): - Globally optimal AC OPF solver (under certain conditions). - Functions to check sufficient conditions for: - global optimality of OPF solution - insolvability of power flow equations - PSS/E RAW data conversion to MATPOWER case format (experimental) based on code contributed by Yujia Zhu. - Brand new extensible MATPOWER options architecture based on options struct instead of options vector. - Utility routines to check network connectivity and handle islands and isolated buses. - New extension implementing DC OPF branch flow soft limits. See 'help toggle_softlims' for details. - New and updated support for 3rd party solvers: - CPLEX 12.6 - GLPK - Gurobi 5.x - Ipopt 3.11.x - Knitro 9.x.x - Optimization Toolbox 7.1 - Numerous performance enhancements. - New functions: - runcpf() for continuation power flow. - case_info() for summarizing system information, including network connectivity. - extract_islands() to extract a network island into a separate MATPOWER case. - find_islands() to detect network islands. - @opt_model/describe_idx() to identify variable, constraint or cost row indices to aid in debugging. - margcost() for computing the marginal cost of generation. - psse2mpc() to convert PSS/E RAW date into MATPOWER case format. - get_losses() to compute branch series losses and reactive charging injections and derivatives as functions of bus voltages. - New experimental functions in 'extras/misc' for computing loss factors, checking feasibility of solutions, converting losses to negative bus injections and modifying an OPF problem to make it feasible. - Added case5.m, a 5-bus, 5-generator example case from Rui Bo. - New options: - scale_load() can scale corresponding gencost for dispatchable loads. - makeJac() can return full Jacobian instead of reduced version used in Newton power flow updates. - modcost() can accept a vector of shift/scale factors. - total_load() can return actual or nominal values for dispatchable loads. - runpf(), runopf(), etc. can send pretty-printed output to file without also sending it to the screen. - 'out.suppress_detail' option suppresses all output except system summary (on by default for large cases). - 'opf.init_from_mpc' option forces some solvers to use user-supplied