When we use the maximum demand function of an energy meter, we can select different settings. What is the impact on the demand registration?
In the example below we are generating a 24 hour load-profile. It’s based on values between 30% peak and peak. (1440 samples)
Then we run a evaluation of the MD (maximum demand) for various meter settings. All fixed windows starting at midnight (00:00).
What do we learn?
- The shorter the integration period, the higher the MD value
- The shorter the sub-interval in the integration period, the higher the MD value (except of some strange profile constellations, you might find them)
What are the right settings?
It depends on the purpose for the demand measurement.
If you want to give a penalty to customers exceeding a defined limit, you need to follow the utility rules (e.g. 30 minutes fixed window).
If you are operating with an AMI system, you want to do a load-prediction (forecast) for a period of time. Here it is very common to use a 15 minutes integration time with 1 minute sub-intervals.
All evaluations are done with the same record-set, click on CALC
|new random load profile|
|Integration period 5 minutes|
|Integration period 15 minutes|
|Integration period 30 minutes|
|Integration period 60 minutes|
one bar is equal to one minuteshare by QR code