The comments were specifically as regards the OPF problem, *not* for the power 
flow problem. For the power flow problem, changing a PV to PQ bus switches from 
Vm fixed and Qg variable, to Qg fixed and Vm variable.

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





On Jul 24, 2013, at 2:56 AM, Simon Schneider <[email protected]> wrote:

> 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 <[email protected]> 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 <[email protected]> wrote:
> 
>> 
>> 
>> On Jul 23, 2013, at 9:42 AM, spyros gian <[email protected]> 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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