Certainly. With dispatchable loads, described in Section 6.4.2 of the User’s
Manual <http://www.pserc.cornell.edu/matpower/docs/MATPOWER-manual-5.1.pdf>,
the elasticity of demand depends on the “cost function” you define for the
demand.
Ray
> On Feb 25, 2016, at 11:48 AM, shruti seemala <[email protected]> wrote:
>
> is there any concept of price elasticity included in this software.if yes
> what is the price variation w.r.t demand either linear or exponential or
> anyother
>
> On Thu, Feb 25, 2016 at 8:36 PM, Ray Zimmerman <[email protected]
> <mailto:[email protected]>> wrote:
> In order to observe high prices under peak periods, you will need to design
> your generator costs so that high cost generators are needed to meet the
> demand in these peak periods, but not in lower demand periods. Under those
> circumstances, the prices will also be high in the peak periods, offering an
> opportunity for curtailable demand to respond.
>
> Ray
>
>
>> On Feb 23, 2016, at 11:26 AM, shruti seemala <[email protected]
>> <mailto:[email protected]>> wrote:
>>
>> sir
>> according to the time of use program under demand response concept,the
>> demand during some peak periods is high.so i want to make the price to be
>> higher under such periods and low during offpeak periods.is
>> <http://periods.is/> it possible using matpower.
>>
>> On Tue, Feb 23, 2016 at 8:52 PM, Ray Zimmerman <[email protected]
>> <mailto:[email protected]>> wrote:
>> The price is not something you “set” when running an OPF. It is one of the
>> outputs. If you have a range of generator costs, you should see prices rise
>> as load increases. Of course, you can also vary the costs at different hours
>> too. But you will need to decide precisely how you want to specify the
>> problem to solve at each hour. Is it just the load that is changing?
>>
>> If so, and you have the load scaling factors stored in a vector factor, then
>> you can do it something like this …
>>
>> define_constants;
>> factor = [0.5; 0.8; 1.0];
>> mpc0 = loadcase('case14o');
>> nt = length(factor);
>> nb = size(mpc0.bus, 1);
>> load_zone = zeros(nb, 1);
>> load_zone(3) = 1;
>> for t = 1:nt
>> mpc(t) = mpc0;
>> [mpc(t).bus, mpc(t).gen] = ...
>> scale_load(factor(t), mpc(t).bus, mpc(t).gen, load_zone);
>> results(t) = runpf(mpc(t));
>> end
>>
>> Then you can find the resulting prices for period t in results(t).bus(:,
>> LAM_P).
>>
>> Ray’
>>
>>
>>
>>> On Feb 20, 2016, at 4:17 AM, shruti seemala <[email protected]
>>> <mailto:[email protected]>> wrote:
>>>
>>> >>sir
>>>
>>> i am getting the load variations by writing the code as below.but i want
>>> that variations for 8hrs,4hrs,10hrs respectively and i want to set the
>>> price at that bus high during peak periods and low during off peak
>>> periods.i read the price sensitive loads but i am not understanding how to
>>> apply.sir if you dont mind please explain me with the code by taking a
>>> small 5 bus system.it <http://system.it/> is very necessary for my project
>>> work.
>>>
>>>
>>>
>>> mpc1 = loadcase('case14o');
>>>
>>> >> define_constants;
>>>
>>> >> for factor = 0.5
>>>
>>> mpc1.bus(3,PD) = factor*41.0;
>>>
>>> mpc1.bus(3,QD) = factor*41.0;
>>>
>>> results = runpf(mpc1);
>>>
>>> mpc2 = loadcase('case14o');
>>>
>>> define_constants;
>>>
>>> for factor = 0.8
>>>
>>> mpc2.bus(3,PD) = factor*41.0;
>>>
>>> mpc2.bus(3,QD) = factor*41.0;
>>>
>>> results = runpf(mpc2);
>>>
>>> mpc3 = loadcase('case14o');
>>>
>>> define_constants;
>>>
>>> for factor = 1.0
>>>
>>> mpc3.bus(3,PD) = factor*41.0;
>>>
>>> mpc3.bus(3,QD) = factor*41.0;
>>>
>>> results = runpf(mpc3);
>>>
>>> end
>>>
>>> end
>>>
>>> end
>>>
>>> is the above code is correct or not please check.
>>>
>>>
>>> On Sat, Feb 20, 2016 at 1:31 AM, Ray Zimmerman <[email protected]
>>> <mailto:[email protected]>> wrote:
>>> Please read the scale_load()
>>> <http://www.pserc.cornell.edu//matpower/docs/ref/matpower5.1/scale_load.html>
>>> documentation carefully. To scale the load at a single bus (e.g. bus 3)
>>> you need to set the load_zone argument to select that bus …
>>>
>>> nb = size(mpc(t).bus, 1);
>>> load_zone = zeros(nb, 1);
>>> load_zone(3) = 1;
>>> [mpc(t).bus, mpc(t).gen] = scale_load(0.5, mpc(t).bus, mpc(t).gen,
>>> load_zone);
>>>
>>> Ray
>>>
>>>
>>>
>>>
>>>> On Feb 19, 2016, at 7:59 AM, shruti seemala <[email protected]
>>>> <mailto:[email protected]>> wrote:
>>>>
>>>> sir
>>>> i am doing my project on demand response using time based program.
>>>> 1.i am taking an ieee 14 bus system.
>>>> 2.i apply demand response on one of the buses which have more demand.
>>>> 3.for that i require peak,off peak and valley period demand and price
>>>> under different periods.
>>>> 4.for 8hrs,4hrs and 10hrs the load variation is 0.5*peak
>>>> load,1*peakload,0.8*peakload respectively i assumed.
>>>> 5.i want to select 3rd bus and assume peakload as 41MW.
>>>> 6.i use this code for first 8hrs.
>>>> mpc0 = loadcase('case14');
>>>> for t = 1:8
>>>> mpc(t) = mpc0;
>>>> mpc(t).bus = scale_load(0.5, mpc(t).bus);
>>>> results(t) = runpf(mpc(t));
>>>> end
>>>> i get some result.but i want the load to be change at third bus only as
>>>> mentioned w.r.t peakload
>>>> 7.for that i try this code
>>>> mpc0 = loadcase('case14');
>>>> >> for t = 1:8
>>>> mpc(t) = mpc0;
>>>> mpc(t).bus = scale_load(0.5, mpc(t).bus(4,4));
>>>> results(t) = runpf(mpc(t));
>>>> end
>>>> Attempted to access bus(:,3); index out of bounds because numel(bus)=1.
>>>>
>>>> Error in scale_load (line 168)
>>>> load_zone(bus(:, PD) ~= 0 | bus(:, QD) ~= 0) = 1; %% FIXED loads
>>>> it is showing like this.
>>>> i use mpc(t).bus(4,4) because it is the representation of 3rd bus load in
>>>> the bus data.is <http://data.is/> it correct approach.
>>>> 8.how can we set price for different periods.
>>>> 9.please suggest me
>>>
>>>
>>
>>
>
>
