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‌C.22 Event randomization‌

The following are examples of how to set the randomization parameters to accomplish different randomization strategies. The attributes of an event that define its behavior in time are the “interval” that defines the “start” and “duration” of the event, “randomizeStart”, and “randomizeDuration”. The latter two controlling the randomization behavior. For these examples, we will assume that we are looking at DRLC events and that the events are causing reductions in load over a large population. The graphs are indicating the aggregated load for the entire population for a single event.

C.22.1 Simple event

Figure C.21—Simple event, no ramp up, no ramp down

NOTE—This use case is NOT targeted for large population control.

Table C.23—Simple event values

C.22.2 Event with positive randomized duration

Figure C.22—Event with positive randomization duration

Table C.24—Positive duration randomization values

C.22.3 Event with positive randomized start

Figure C.23—Event with positive randomization start

Table C.25—Positive start randomization values

C.22.4 Event with negative randomized start

Figure C.24—Event with negative randomized start

Table C.26—Negative start randomization values

C.22.5 Event with positive randomization and finishing in one hour

Figure C.25—Positive randomization in an hour

Table C.27—Positive randomization in one hour values

C.22.6 Event with negative randomized start and at least one hour duration

Figure C.26—Event with negative start in one hour

Table C.28—Negative start in one hour values

C.22.7 Event with randomized start and long ramp up

Figure C.27—Randomized start and long ramp up

Table C.29—Randomized start with long ramp up values

C.22.8 Event with positive randomized start and fixed end time

Figure C.28—Randomized start and fixed end time

NOTE—This scenario is NOT possible with the current set of parameters. For grid stability “snap” back on is not a desirable use case.

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