Hi Ray,
My two cents is that if MATPOWER could include distribution state estimation,
given that nowadays more and more measurements (SCADA, AMI...) are available in
distribution level, it would be a very attracting feature for researchers.
Blessings,
Wenlei
-Original Message-
From:
Dear community,
It is known that AC OPF is a nonlinear and non-convex problem, and I believe
matPower AC OPF uses prime-dual interior point(PDIP) method, so please help
understand 1.can this method consider the discrete variables and 2.Does it have
to be transformed from the original OPF to a
Dear Ray,
When I used 'radial_pf' to run a distribution case load flow, it gave me error
as the following:
Could you take a look? Thank you
Wenlei
[cid:fc33c53d-9172-4c9e-b66f-620fffb8bf18]
Wenlei Bai
Electrical Engineering, Department of Electrical & Computer Engineering
Baylor
ct 6, 2016, at 9:57 AM, Bai, Wenlei
<wenlei_...@baylor.edu<mailto:wenlei_...@baylor.edu>> wrote:
Thanks Ray, I see so the result.x includes control variables and state
variables.
But what exact control variables are for 'runopf'?
Thanks
Wenlei Bai
Electrical Engineering, Departm
stinction is not necessary for MATPOWER to specify and
solve the OPF problem.
Hope this helps,
Ray
On Oct 5, 2016, at 11:01 PM, Bai, Wenlei
<wenlei_...@baylor.edu<mailto:wenlei_...@baylor.edu>> wrote:
Dear Ray,
I noticed that when I 'results = runopf('case')', I am able to fin
Dear Ray,
I noticed that when I 'results = runopf('case')', I am able to find the control
variables by 'results.x';
however, the control variables consist of all the bus angles, bus voltages, P
output from generator buses(including slack bus), and reactive power Q from
generator buses
, at 9:07 PM, Bai, Wenlei
<wenlei_...@baylor.edu<mailto:wenlei_...@baylor.edu>> wrote:
Dear Ray
Thanks for releasing the latest matpower6.1 version which includes plenty of
new useful tools.
I was trying to run the sample codes in Section 2.3.1 of MOST manual. However
it feedba
Dear Ray
Thanks for releasing the latest matpower6.1 version which includes plenty of
new useful tools.
I was trying to run the sample codes in Section 2.3.1 of MOST manual. However
it feedback me errors.
I've attached it, could you take a look?
Much appreciation
Wenlei
Greetings,
I wonder can matpower OPF solve dynamic OPF problem: the optimal schedule of
generators over 24 hrs to minimize the total cost?
In additon to static OPF of each hr constraints, ramping constraints need to be
satified (the generator cannot increase/decrease too much power within short
tions.
>> k = find(mpc.bus(:, BUS_TYPE) == PV & results.bus(:, BUS_TYPE) == PQ);
>> mpc.bus(k, BUS_I)
ans =
19
32
34
92
103
105
Hope this helps,
Ray
On Mar 24, 2016, at 11:59 AM, Bai, Wenlei
<wenlei_...@baylor.edu<mailto:wenlei_...@baylor.edu&g
manual)
Also, be aware that options 1 and 2 may yield different solutions, in general.
--
Jose L. Marin
Grupo AIA
On Thu, Mar 24, 2016 at 6:08 AM, Bai, Wenlei
<wenlei_...@baylor.edu<mailto:wenlei_...@baylor.edu>> wrote:
Dear Ray,
I’ve encountered a situation: the real power and voltage a
Dear Ray,
I've encountered a situation: the real power and voltage are specified in PV
buses, and as I run the load flow on modified 30 bus case, somehow the reactive
power of PV bus are exceeding the limits. Some even exceed the negative limits.
The thing is the reactive power demand of the
Dear Ray,
I tried to modified load of 'case9' to exceed the total generation capacity
purposely.
To my surprise, power flow still converges. More specifically, the total
generator 'on-line capacity' is 820MW, while the 'actual generation' is 920.8MW
Why the actual generation can be larger than
of Abhyankar, Shrirang
G. [abhy...@mcs.anl.gov]
Sent: Friday, August 29, 2014 9:19
To: MATPOWER discussion forum
Subject: Re: control variables of 'runopf'
Please read section 6.3 of the manual 'Extended OPF formulation'.
Shri
From: Bai, Wenlei wenlei_...@baylor.edu
Reply-To: MATPOWER discussion
of papers on OPF that
may interest you.
http://www.ferc.gov/industries/electric/indus-act/market-planning/opf-paper
s.asp#p1
Thanks for the blessings :-)
Shri
-Original Message-
From: Bai, Wenlei wenlei_...@baylor.edu
Reply-To: MATPOWER discussion forum matpowe...@list.cornell.edu
Hi, I try to understand the control variables in 'runopf'
when I execute results = runopf('case_ieee30'), the system has 6 generators, 2
Shunts, and 4 transformers.
According to user manual, resutls.x are all the optimization variables (total
72), including Pg (6), Qg(6), Va(30), Vm(30), however
From: bounce-117798135-71172...@list.cornell.edu
[bounce-117798135-71172...@list.cornell.edu] on behalf of Bai, Wenlei
[wenlei_...@baylor.edu]
Sent: Thursday, August 28, 2014 13:46
To: MATPOWER-L@cornell.edu
Subject: control variables of 'runopf'
Hi, I try
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