三点估计法概率潮流计算

======================================================== MATPOWER - A MATLAB(R) Power System Simulation Package ======================================================== Version: 6.0 Website: http://www.pserc.cornell.edu/matpower/ GitHub: https://github.com/MATPOWER/matpower Authors: Ray Zimmerman <rz10@cornell.edu> Carlos E. Murillo-Sanchez <carlos_murillo@ieee.org> and others, see AUTHORS file Fri, Dec 16, 2016 Copyright (c) 1997-2016, Power Systems 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 website, or cloned from the MATPOWER GitHub project, both listed 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 [2]. [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," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12–19, Feb. 2011. Additionally, we request that publications derived from the use of the MATPOWER Optimal Scheduling Tool (MOST), explicitly acknowledge that fact by citing [4] as well as [2]. [4] C. E. Murillo-Sanchez, R. D. Zimmerman, C. L. Anderson, and R. J. Thomas, "Secure Planning and Operations of Systems with Stochastic Sources, Energy Storage and Active Demand," Smart Grid, IEEE Transactions on, vol. 4, no. 4, pp. 2220–2229, Dec. 2013. http://dx.doi.org/10.1109/TSG.2013.2281001 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 website. 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 <MATPOWER>/most - core MOST functions <MATPOWER>/most/t - test scripts for MOST (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 6.0 --------------------------- 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 Open Development Model - MATPOWER development has moved to GitHub! The code repository is now publicly available to clone and submit pull requests. <https://github.com/MATPOWER/matpower> - Public issue tracker for reporting bugs, submitting patches, etc. <https://github.com/MATPOWER/matpower/issues> - Separate repositories for MOST, MIPS, MP-Test, all available from <https://github.com/MATPOWER/>. - New developer e-mail list (MATPOWER-DEV-L) to facilitate communication between those collaborating on MATPOWER development. Sign up at: <http://www.pserc.cornell.edu/matpower/mailinglists.html#devlist>. * 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. - Added case33bw.m, a 33-bus radial distribution system from Baran and Wu. * 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(). - Redesigned CPF callback mechanism to handle CPF events such as generator limits, nose point detection, etc. Included event log in CPF results. - Added options 'cpf.enforce_p_lims' and 'cpf.enforce_q_lims' to enforce generator active and reactive power limt