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)
... ...
========================================================
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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