Dear sir,
Who has the matpower data for kunder 2area 4 generator system?




--


-----------------------------------------------------

舒德兀(Alex)

schools of electrical engineering and automation ,Tsinghua University,China..


At 2013-07-30 03:50:03,"spyros gian" <sp.g...@hotmail.com> wrote:

Dr Zimmerman , you wrote that your conjecture is that in most cases, especially 
for relatively small systems, the solution found by MATPOWER is likely the 
global optimum or else something extremely close to it.
- First of all, what is a 'small system' for you ?  e.g. less than 10 buses?
- Secondly, where do you base your conjecture that in most cases the interior 
point method finds the global - or sth very close to it- optimum ? Is there a 
proof that the interior point method solves the non-linear problems to the 
global optimum or very close to it? 
 
Thank you
 

Date: Wed, 24 Jul 2013 08:56:51 +0200
From: sschnei...@ffe.de
To: matpower-l@cornell.edu; matpowe...@list.cornell.edu
Subject: Re: OPF on matpower


Dear Dr. Zimmerman,
 
the "Bus types play no role" confused me a bit, so I tried declaring some 
previous generator nodes as PQ buses.
It seems to me the only effect is, that the voltage now is not longer fixed to 
the generator set point during a normal Power Flow calculation.
 
Do you know if that's correct or has it any further consequences?
 
thanks in advance
Simon
 
 

>>> Ray Zimmerman <r...@cornell.edu> 23.07.2013 19:44 >>>
Shri is correct with some *very* minor tweaks the only bus type that matters is 
the REF bus which determines the voltage reference for the system, and the 
voltage angle at that bus is set to the corresponding value in the bus matrix, 
which is usually set to 0, but need not be.


And, yes, the OPF solvers in MATPOWER do find locally optimal solutions that 
are not guaranteed to be globally optimal. Theoretically, MATPOWER could find 
different solutions depending on the algorithm, starting point, algorithm 
parameters, etc. However, in my experience, it has been very difficult to find 
multiple local optima. The one example I have been able to confirm has nearly 
identical objective values and active power dispatches, with some differences 
in voltage profile and reactive dispatch in a few buses.


My conjecture is that in most cases, especially for relatively small systems, 
the solution found by MATPOWER is likely the global optimum or else something 
extremely close to it. I hope to include in an upcoming version some 
contributed code that will be able to confirm in some cases that a solution is 
a indeed a global optimum.


-- 
Ray Zimmerman
Senior Research Associate
B30 Warren Hall, Cornell University, Ithaca, NY 14853
phone: (607) 255-9645









On Jul 23, 2013, at 1:05 PM, Shri <abhy...@mcs.anl.gov> wrote:





On Jul 23, 2013, at 9:42 AM, spyros gian <sp.g...@hotmail.com> wrote:


Dear Dr Zimmerman,
 
Running an OPF in matpower means that
 
1. Bus types play no role (eg slack, PV, PQ etc)

Yes.

2. All values for Real Power generation and reactive power generation are 
unknown

Yes.

3. All values for bus_voltages and voltage phase angles in buses, are unknown 
as well

The voltage angle of the reference bus is fixed and set to 0.

4. As a result, all values for real and reactive power flows are unknown.

Yes.

5. Losses are unknown.

Yes.


What is known :
1. The resistance, reactance, admittance per unit / per conductor
2. Values for Real and Reactive demand at each bus
3. Limits on voltage magnitude , limits on real and reactive power generation
4. MVA limits on each line
5. Fuel cost for each generator.

Yes for all


So my question is
a. Are the above correct for matpower ?
b. Since matpower uses a non-linear optimisation, is the result a local minimum 
or a global minimum?
    (for the case of a cost-minimization OPF) ? i.e. the values for voltages, 
reactive powers etc, are   
    globally optimum or perhaps other optimum values for all the unknown 
quantities exist ?

I believe most of the optimization tools, such as fmincon in Matlab, find a 
local minimum.


Shri


Thank you,
Spyros Gian
 
 



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